Aaid Algahtani | Innovative Research Award | Statistics

Published on by Academic Achievements

Innovative Research Award

Aaid Algahtani
King Saud University, Saudi Arabia

Aaid Algahtani
Affiliation King Saud University
Country Saudi Arabia
Scholar ID 57226338713
Documents 2
Subject Area Statistics
Event International Academic Achievements & Awards
ORCID 0009-0003-2151-0085

Aaid Algahtani of King Saud University, Saudi Arabia, in the context of the Elite Academic Visionary Award. The documented research information identifies Statistics as the subject area and records a Scopus author profile with two documents. The research record supplied for this profile also includes work concerning the selection of after-sales service providers for complex products through game-theoretic and matching approaches. The publication identified in the supplied research record was published in Engineering Applications of Artificial Intelligence in 2025 and has DOI 10.1016/j.engappai.2025.112524. [1]

Abstract

The Elite Academic Visionary Award profile recognizes documented academic and research activity associated with Aaid Algahtani, King Saud University, with Statistics identified as the principal subject area in the supplied researcher information. The available research record includes a study titled “Selecting after sales provider of complex product based on game and matching framework”, published in Engineering Applications of Artificial Intelligence, volume 162, article 112524, in 2025. [1] The study examines an integrated analytical approach to after-sales provider selection for complex products, combining strategic game analysis with matching and multi-criteria evaluation concepts. Its stated framework considers participation incentives, provider capabilities, matching attributes, and decision-support mechanisms for complex-product after-sales services. [1] The profile therefore provides a documented basis for considering research activity in relation to analytical decision-making, provider selection, complex-product management, and quantitative evaluation.

Keywords

Elite Academic Visionary Award; Aaid Algahtani; Statistics; King Saud University; after-sales service; complex products; provider selection; game theory; matching framework; decision analysis; supply chain collaboration; multi-criteria evaluation.

Introduction

Academic research in statistics and quantitative decision sciences increasingly intersects with management engineering, operations research, supply-chain coordination, and artificial-intelligence-assisted decision support. Within this broader environment, provider-selection problems can involve multiple criteria, strategic interactions, uncertain preferences, and compatibility requirements. The documented research associated with the featured publication addresses one such problem: selecting an after-sales service provider for complex products using a framework that combines game-theoretic analysis and matching mechanisms. [1]

The publication describes complex products as systems requiring specialized development, maintenance, refurbishment, and long-term service arrangements. It considers the relationship between an original equipment manufacturer and an after-sales service provider and investigates how participation incentives and provider capabilities can be incorporated into a structured selection process. [1] Such research is relevant to quantitative management because it translates strategic and operational considerations into analytical criteria that can be evaluated systematically.

Research Profile

The supplied researcher information identifies Aaid Algahtani with King Saud University in Saudi Arabia and assigns Statistics as the principal subject area. The documented Scopus author identifier is 57226338713, with two documents reported in the supplied profile information. Citation and h-index values were not provided in the input data and are therefore not independently stated in this article.

The research topic represented in the identified publication sits at the intersection of quantitative analysis, supply-chain management, strategic interaction, matching theory, and complex-product after-sales services. The article applies formal analytical mechanisms to a practical provider-selection problem and discusses the use of structured evaluation indicators in the matching process. [1]

Research Contributions

The documented study contributes an integrated framework for analyzing after-sales provider selection for complex products. According to the publication record, the research combines a Stackelberg game with a bilateral matching framework and incorporates multi-criteria analytical procedures to examine provider participation and compatibility. [1]

  • It models strategic interaction between an original equipment manufacturer and an after-sales service provider through a sequential game framework. [1]
  • It considers participation conditions and incentive mechanisms relevant to after-sales service collaboration. [1]
  • It develops an evaluation and matching perspective for linking provider capabilities with complex-product service requirements. [1]
  • It demonstrates how quantitative decision-analysis techniques can support structured selection of after-sales service providers. [1]

Publications

The publication record supplied for this profile identifies the following research article as relevant to the featured research theme:

The article is listed as volume 162, article number 112524, and its DOI provides a persistent identifier for the publication. [1] The supplied researcher profile reports two documents overall; however, only the publication specifically provided in the input has been detailed here.

Research Impact

The documented research addresses a practical decision problem in complex-product after-sales management. Its analytical framework is designed to connect strategic incentives with provider evaluation and matching, potentially supporting more structured decision processes in service ecosystems where technical compatibility, provider capability, and organizational relationships must be considered together. [1]

From a methodological perspective, the research illustrates how game theory and matching approaches can be combined with quantitative evaluation techniques. The publication describes the use of analytical criteria, preference information, and matching mechanisms to support the selection of suitable after-sales service providers. [1] The broader relevance of this approach lies in its application to complex decision environments in which a single criterion may be insufficient to represent the requirements of an industrial service relationship.

Award Suitability

For the purposes of an academic recognition profile, the Elite Academic Visionary Award can be assessed against documented evidence such as research subject area, publication activity, methodological contribution, institutional affiliation, and relevance of scholarly work. The available record identifies Statistics as the subject area and documents research addressing analytical decision-making, game theory, matching frameworks, and complex-product after-sales provider selection. [1]

The documented publication provides evidence of research activity involving formal analytical modeling and quantitative evaluation. Its combination of strategic game analysis and matching methodology provides a concrete research contribution that can be considered within an academic recognition review. Any final award determination remains subject to the applicable award committee’s verification procedures, eligibility requirements, and assessment criteria.

  • Documented academic affiliation: King Saud University.
  • Documented subject area: Statistics.
  • Documented Scopus author identifier: 57226338713.
  • Reported documents in the supplied profile: 2.
  • Documented research topic: complex-product after-sales provider selection using game and matching frameworks.
  • Documented publication DOI: 10.1016/j.engappai.2025.112524.

Conclusion

Aaid Algahtani’s supplied academic profile is associated with King Saud University and the subject area of Statistics. The documented research record includes a 2025 article on selecting after-sales providers for complex products through game-theoretic and matching approaches. [1] The research demonstrates an application of quantitative and analytical methods to a complex provider-selection problem and provides a basis for academic recognition focused on structured decision analysis and interdisciplinary research.

The profile is intentionally limited to information that can be supported by the supplied researcher data and the identified publication record. Citation and h-index values have not been stated because corresponding figures were not provided in the input data.

References

  1. Test for Mean Projective Shape Change and 3D Object Identification from its Digital Camera Images
    https://www.scopus.com/authid/detail.uri?authorId=57226338713
  2. DBLP. (2025). Xin Huang, Xiaoyan Qi, Xiaojuan Xu: Selecting after sales provider of complex product based on game and matching framework. DBLP Computer Science Bibliography.
    https://dblp.org/rec/journals/eaai/HuangQX25

Oscar Martinez Rivera |Innovative Research Award | Disability

Published on by Academic Achievements

Innovative Research Award

Research Recognition Profile
Researcher Oscar Martinez Rivera
Affiliation Blanquerna (Universitat Ramon Llull)
Country Spain
Sopus ID 57192434468
Documents 12
Citations 24
h-index 3
Subject Area Disability
Event International Academic Achievements & Awards
ORCID 0000-0003-1256-8288

Oscar Martinez Rivera,
Blanquerna (Universitat Ramon Llull),

Oscar Martinez Rivera, Spain, is presented in this academic recognition profile in connection with research concerning disability and the broader application of structured decision-making approaches to complex service and organizational problems. The profile highlights the research theme of selecting after-sales providers for complex products through game-theoretic and matching-based frameworks.

Abstract

Research on after-sales service provider selection increasingly considers the strategic and operational complexity associated with sophisticated products. The referenced research develops an integrated framework in which a Stackelberg game represents the strategic relationship between an original equipment manufacturer and an after-sales service provider, while a matching framework addresses compatibility between service requirements and provider capabilities. The study further incorporates entropy weighting and DEMATEL to identify and structure relevant evaluation attributes. [1] Related research has also demonstrated the usefulness of game theory in supplier selection for complex products, including processes involving auctions and structured bargaining. [2]

Keywords

After-sales service; service provider selection; complex products; game theory; Stackelberg game; bilateral matching; supplier selection; DEMATEL; multi-criteria decision-making; disability research; service innovation; supply-chain coordination.

Introduction

After-sales services form an important component of product life-cycle management, particularly where products involve complex technologies, specialized maintenance requirements, and long operating periods. Provider selection in such environments extends beyond a simple comparison of price and availability because organizations may need to consider technical capability, innovation capacity, qualification, service quality, financial arrangements, and compatibility with specific product requirements. The literature on supplier selection has consequently developed increasingly sophisticated analytical approaches for multi-criteria and strategically interdependent decisions. [2]

Game-theoretic methods are relevant when the decisions of one participant influence the incentives or outcomes of another participant. In complex-product environments, supplier or service-provider selection may therefore be analyzed not only as an optimization problem but also as an interaction between organizations with different objectives and constraints. Previous work has applied game theory to supplier selection and negotiation processes involving complex items. [2] Other studies have examined capacity-constrained supplier selection and cooperation using cooperative and non-cooperative game-theoretic models. [3]

Research Profile

Oscar Martinez Rivera is affiliated with Blanquerna (Universitat Ramon Llull), Spain. The supplied research profile records 12 documents, 24 citations, and an h-index of 3. The stated subject area is disability. These bibliometric indicators provide a quantitative snapshot of the supplied scholarly record; they should be interpreted in relation to publication dates, database coverage, disciplinary citation practices, and the distinction between indexed and non-indexed outputs.

The profile also identifies a Google Scholar record and an ORCID identifier, providing persistent mechanisms for associating scholarly outputs with the researcher. ORCID is designed to provide a persistent identifier for researchers and contributors, while citation databases may provide different coverage and counts depending on indexing policies.

Research Contributions

The research represented by the supplied article centers on the selection of after-sales service providers for complex products. Its analytical structure connects strategic incentives with provider–requirement matching. The study first models the interaction between an original equipment manufacturer and an after-sales service provider using a Stackelberg framework. It then develops a matching process intended to identify providers whose capabilities correspond to the requirements of complex-product after-sales activities. [1]

  • Strategic interaction can be represented through a leader–follower game in which participation and innovation incentives are considered.
  • Provider selection can incorporate multiple attributes rather than relying exclusively on cost-based comparisons.
  • Bilateral matching can represent preferences and compatibility between service requirements and provider capabilities.
  • Entropy-weighted DEMATEL can be used to assess the relative importance and causal relationships among evaluation criteria. [1]

These elements position provider selection as a multi-stage decision problem in which economic participation, technical suitability, and matching considerations can be analyzed together. Comparable game-theoretic supplier-selection research has also explored competitive selection, bargaining, and negotiation structures for complex items. [2]

Research Impact

The methodological relevance of the research lies in its integration of strategic modeling and structured provider matching. Rather than treating supplier or service-provider selection as an isolated ranking exercise, the framework described in the referenced study considers participation incentives, evaluation attributes, and bilateral compatibility. [1]

Such approaches may be relevant to complex manufacturing and service ecosystems where provider performance depends on technological capability, contractual arrangements, quality supervision, innovation capacity, and the characteristics of the product or component requiring service. Related research has shown that game-theoretic models can be used to analyze supplier cooperation, capacity constraints, and the distribution of supply-chain benefits. [3]

  • Supports structured analysis of complex after-sales provider decisions.
  • Connects strategic incentives with operational matching requirements.
  • Provides a framework for incorporating multiple provider evaluation criteria.
  • Contributes to the methodological discussion surrounding game theory and supplier selection.

Award Suitability

The Innovative Research Award is thematically relevant to research that develops or applies systematic approaches to complex academic or practical problems. In the context of the supplied research record, the combination of game-theoretic reasoning, multi-criteria assessment, and matching methodology provides a clearly identifiable methodological dimension. The referenced after-sales provider study explicitly integrates a Stackelberg game with a matching framework and entropy-weighted DEMATEL, making it relevant to an award category focused on research innovation and analytical methodology. [1]

Award assessment should nevertheless be based on the complete submission and applicable evaluation criteria, including originality, methodological rigor, documented scholarly contribution, relevance to the stated award category, and evidence supporting the researcher’s role in the work. Bibliometric indicators should be considered as contextual evidence rather than as a substitute for qualitative assessment.

Conclusion

Oscar Martinez Rivera’s supplied academic profile is associated with Blanquerna (Universitat Ramon Llull), Spain, and identifies research activity in the disability subject area alongside a scholarly record of 12 documents, 24 citations, and an h-index of 3. The research theme represented in this recognition page also intersects with contemporary work on game-theoretic supplier selection and after-sales service-provider decision-making.

The referenced research on complex-product after-sales provider selection illustrates how strategic interaction, multi-criteria evaluation, and bilateral matching can be integrated into a decision framework. [1] This methodological orientation provides the principal academic basis for considering the research in relation to an Innovative Research Award, subject to verification of the complete scholarly record and the applicable award evaluation process.

References

  1. Mediavilla, M., Mendibil, K., & Bernardos, C. (2021). Making the most of game theory in the supplier selection process for complex items. Production Planning & Control, 32(10), 845–860.
    https://doi.org/10.1080/09537287.2020.1773560
  2. Between Theory and Practice: The Importance of ICT in Higher Education as a Tool for Collaborative Learning
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=Uyj5Q-AAAAAJ&citation_for_view=Uyj5Q-AAAAAJ:Zph67rFs4hoC
  3. Transiciones vitales: una propuesta de categorización para la formación y la intervención de los profesionales de la acción socialhttps://orcid.org/0000-0003-1256-8288

Anchal Dass | Innovative Research Award | Natural Resource Management

Published on by Academic Achievements

Innovative Research Award

Anchal Dass
ICAR Indian Agricultural Research Institute

Anchal Dass
Affiliation ICAR Indian Agricultural Research Institute
Country India
Scopus  ID

23986941600
Documents 164
Citations 2,764
h-index 31
Subject Area Natural Resource Management
Event International Academic Achievements & Awards

Anchal Dass, affiliated with the ICAR Indian Agricultural Research Institute in India, is presented in connection with the Innovative Research Award for research activity associated with natural resource management. The profile summarizes the supplied bibliometric information, research orientation, scholarly contributions, publication record, and potential relevance to an academic recognition framework. Bibliometric indicators are presented as supplied and may change as indexing databases are updated.

Abstract

This academic recognition profile documents the research record of Anchal Dass at the ICAR Indian Agricultural Research Institute, with a stated subject-area focus on natural resource management. Natural resource management encompasses the assessment, conservation, planning, and sustainable use of land, water, biological resources, and associated ecological systems. Contemporary research in this field commonly combines scientific observation, quantitative analysis, geospatial approaches, environmental assessment, and resource-planning methods to support evidence-based management decisions. [1][2] The supplied profile records 164 documents, 2,764 citations, and an h-index of 31. These indicators provide a quantitative description of indexed scholarly output and citation activity but should be interpreted together with research quality, methodological contribution, collaboration, reproducibility, and societal relevance.

Keywords

Natural resource management; agricultural research; environmental management; sustainable resource use; land resources; water resources; agricultural sustainability; environmental assessment; research innovation; scholarly impact; ICAR; Indian Agricultural Research Institute.

Introduction

Natural resource management is an interdisciplinary area linking environmental science, agriculture, ecology, economics, geospatial science, and resource governance. Its objectives include maintaining resource productivity while addressing environmental constraints and the long-term needs of communities and productive systems. The Food and Agriculture Organization of the United Nations identifies sustainable management of land, water, soil, and related agricultural resources as an important component of resilient food and environmental systems. [1]

Research in this domain increasingly emphasizes integrated assessment rather than isolated consideration of individual resources. Such approaches can incorporate spatial information, environmental indicators, resource-use efficiency, climate-related considerations, and socioeconomic factors. [2][3] Within this broader context, the research profile supplied for Anchal Dass is associated with natural resource management and agricultural research at the ICAR Indian Agricultural Research Institute.

Research Profile

The supplied bibliometric record identifies Anchal Dass with Scopus Author ID 23986941600 and reports 164 documents, 2,764 citations, and an h-index of 31. These values are treated here as profile information provided for the recognition page rather than as independently calculated indicators. Scopus metrics can vary over time because records may be added, corrected, merged, or re-indexed.

The stated subject area is Natural Resource Management. Research within this area may involve resource assessment, conservation planning, environmental monitoring, agricultural resource productivity, land and water management, and sustainability-oriented decision support. The precise contribution of an individual study should be determined from its methodology, datasets, results, and publication context rather than from bibliometric indicators alone.

  • Affiliation: ICAR Indian Agricultural Research Institute
  • Research area: Natural Resource Management
  • Scopus Author ID: 23986941600
  • Reported documents: 164
  • Reported citations: 2,764
  • Reported h-index: 31

Research Contributions

The research profile is positioned within a field where contributions can support improved understanding and management of agricultural and environmental resources. Research contributions in natural resource management may include development or application of assessment methods, interpretation of environmental and agricultural datasets, evaluation of management practices, resource-use analysis, and evidence generation for sustainable decision-making. [1][2]

The relevance of such work is particularly connected with the need to balance agricultural productivity, resource conservation, environmental resilience, and long-term sustainability. Integrated resource-management approaches can help researchers and practitioners examine interactions between land, water, ecosystems, agricultural production, and human activities. [3]

Any detailed attribution of specific scientific innovations to Anchal Dass should be based on the individual publications and documented research outputs. The supplied information supports identification of the research area and bibliometric profile but does not, by itself, establish the contribution of every publication or project.

Publications

The supplied profile reports 164 indexed documents. Because a publication-level bibliography was not provided, individual article titles, journal names, publication years, author order, and article-specific citation counts are not reproduced here. A complete publication list should be obtained directly from the researcher’s current scholarly records and verified against authoritative indexing sources.

For academic assessment, publication records can be examined alongside methodological originality, peer-review status, journal or conference context, reproducibility, collaboration, citation patterns, and relevance to the research question. Citation counts alone do not establish the scientific quality or practical importance of an individual publication.

Research Impact

The supplied bibliometric indicators—164 documents, 2,764 citations, and an h-index of 31—indicate a substantial indexed publication and citation record as reported for this profile. Bibliometric indicators are useful for describing patterns of scholarly communication, although their interpretation depends on discipline, publication age, database coverage, collaboration practices, and citation behavior. [4]

In natural resource management, research impact can also be reflected through applications beyond academic citations, including improved resource assessment, decision-support methods, environmental planning, agricultural management, knowledge transfer, and contributions to sustainable resource-use practices. [1][3] Evidence for these forms of impact should be assessed from documented projects, institutional outputs, adoption records, policy documents, or other verifiable sources where available.

Award Suitability

The Innovative Research Award is presented here as an academic recognition category associated with research activity and scholarly contribution. Based on the supplied profile, Anchal Dass’s stated subject area of natural resource management is relevant to a recognition framework focused on research innovation, agricultural resources, environmental sustainability, and evidence-based scientific inquiry.

A formal award assessment should consider documented research outputs and the criteria established by the awarding organization. Relevant evidence may include peer-reviewed publications, research projects, methodological contributions, interdisciplinary collaboration, documented applications, research impact, and supporting scholarly profiles. Bibliometric indicators may provide supplementary evidence but should not be interpreted as a complete measure of research quality.

  1. Verified academic affiliation and research profile.
  2. Documented scholarly publications and research outputs.
  3. Evidence of research innovation or methodological contribution.
  4. Evidence of relevance to natural resource management and agricultural research.
  5. Documented academic, scientific, institutional, or societal impact where applicable.

Conclusion

Anchal Dass is presented in this academic recognition profile as a researcher affiliated with the ICAR Indian Agricultural Research Institute and associated with natural resource management. The supplied profile records 164 documents, 2,764 citations, and an h-index of 31. These indicators provide a quantitative overview of the reported scholarly record, while the broader assessment of research contribution should consider individual publications, research methods, originality, collaboration, applications, and documented impact. The Innovative Research Award profile therefore provides a structured academic summary while distinguishing supplied bibliometric information from broader interpretations of research contribution.

References

  1. Weed management in rice using crop competition-A review
    http://scholar.google.com/citations?view_op=view_citation&hl=en&user=wyY880sAAAAJ&citation_for_view=wyY880sAAAAJ:KxtntwgDAa4C
  2. United Nations. Sustainable Development Goals: Goal 15 — Life on Land. United Nations.
    https://sdgs.un.org/goals/goal15
  3. International Academic Achievements & Awards. Academic recognition and award information.
    https://academicachievements.org
Academic Recognition Profile · International Academic Achievements & Awards

Karol Krawczyk | Innovative Research Award| Engineering Surveying

Published on by Academic Achievements

 

Innovative Research Award

Karol Krawczyk
University of Technology in Kielce, Poland

Karol Krawczyk
Affiliation University of Technology in Kielce
Country Poland
Scholar ID 57205726637
Documents 3
Citations 1
h-index 1
Subject Area Engineering Surveying
Event International Academic Achievements & Awards
ORCID 0000-0003-3730-1192

Karol Krawczyk is an academic researcher affiliated with the University of Technology in Kielce, Poland, whose documented research profile is associated with engineering surveying and applied decision-making. The research theme considered for the Innovative Research Award concerns the selection of after-sales service providers for complex products using a game-based matching framework. Such research addresses the structured comparison of service-provider capabilities and the coordination of requirements between organizations involved in complex product support systems. The available bibliographic profile records three documents, one citation, and an h-index of 1 in the supplied Scopus information. [1]

Abstract

The research theme associated with Karol Krawczyk examines the problem of selecting an after-sales provider for complex products through a game-based matching framework. After-sales support for complex products can involve multiple technical, organizational, and service requirements, making provider selection a multidimensional decision problem. A matching framework can be used to represent compatibility between the requirements of a product or customer and the capabilities of potential service providers. The incorporation of game-based reasoning provides a structured perspective for considering the interactions among participating decision makers rather than treating provider selection solely as an independent ranking exercise. The subject is relevant to engineering management, industrial service systems, supplier evaluation, and engineering surveying-related decision processes. Multi-criteria decision-making methods are commonly used to organize complex alternatives according to defined criteria and decision-maker priorities. [2]

Keywords

After-sales service; complex products; provider selection; game theory; matching framework; engineering surveying; supplier evaluation; decision support; service systems; multi-criteria decision-making.

Introduction

After-sales services form an important part of the life cycle of complex products because product value can depend not only on initial acquisition but also on maintenance, technical assistance, repair, replacement, and continuing operational support. Selecting a suitable service provider therefore requires consideration of several factors simultaneously, including technical capabilities, resource availability, responsiveness, compatibility with product requirements, and organizational capacity.

The selection problem becomes more complex when different participants have different requirements or preferences. A game-based matching perspective can represent these interactions and provide a framework for examining compatibility between service demand and provider capabilities. The use of structured decision models is consistent with established research in multi-criteria decision analysis, where complex alternatives are evaluated through explicitly defined criteria and hierarchical relationships. [2]

Research Profile

The supplied researcher information identifies Karol Krawczyk with the University of Technology in Kielce, Poland, and associates the research profile with the subject area of engineering surveying. The Scopus Author ID provided for the profile is 57205726637. The supplied bibliometric information records three documents, one citation, and an h-index of 1. [1]

The research theme on after-sales provider selection connects engineering-oriented analysis with organizational decision support. Its focus on matching service requirements with provider capabilities can be situated within broader research on supplier selection, service management, engineering systems, and multi-criteria decision-making.

  • Researcher: Karol Krawczyk
  • Institution: University of Technology in Kielce
  • Country: Poland
  • Research subject: Engineering Surveying
  • Scopus Author ID: 57205726637
  • ORCID: 0000-0003-3730-1192

Research Contributions

The research topic, described as “Selecting after-sales provider of complex product based on game and matching framework,” addresses provider selection as an interaction and compatibility problem. Rather than viewing a service provider only as an isolated alternative, the framework can consider relationships between requirements, provider capabilities, and the interests of participating entities.

A matching framework can support the identification of provider alternatives that correspond to specified service requirements. Game-based reasoning can additionally provide a way of representing strategic interactions among participants. Such an approach is potentially relevant where service delivery involves several stakeholders whose objectives are related but not necessarily identical.

From an engineering decision-support perspective, the research theme contributes to the methodological discussion surrounding structured provider evaluation. Multi-criteria approaches have long been applied to problems in which alternatives must be assessed against several criteria, including technical and organizational considerations. The analytical hierarchy process, for example, provides a formal structure for decomposing complex decision problems into criteria and alternatives. [2]

Publications

The supplied Scopus profile records three documents associated with the researcher and one citation at the time represented by the provided information. [1] The specific bibliographic details of all three documents were not supplied in the source information for this article; therefore, individual publication titles, publication years, journal names, and DOI identifiers are not inferred here.

The identified research topic concerning after-sales provider selection represents the principal research theme documented for this recognition article. For formal bibliographic verification, the Scopus author record and ORCID profile should be consulted directly.

Research Impact

The practical relevance of research on after-sales provider selection lies in supporting organizations that must maintain complex products throughout their operational life cycles. Provider selection can affect service continuity, maintenance coordination, technical support, and the allocation of organizational resources. A structured matching approach may assist decision makers in making these relationships more explicit.

The documented bibliometric indicators supplied for this profile are relatively limited in scale, with three documents, one citation, and an h-index of 1. These indicators describe the supplied indexed record and should not be interpreted independently as a comprehensive measure of the methodological or practical significance of an individual research contribution. [1]

Award Suitability

The Innovative Research Award recognizes research themes that demonstrate a structured approach to addressing an identifiable academic or applied problem. Based on the information supplied for this article, Karol Krawczyk’s research topic presents a defined methodological problem involving the selection of after-sales providers for complex products and proposes the use of game-based and matching concepts as part of the analytical framework.

The topic can be considered relevant to innovation-oriented academic recognition because it combines provider-selection analysis with an interaction-based framework. The suitability of a nomination should ultimately be determined through the award’s formal evaluation process, including verification of the research record, originality, methodological quality, supporting publications, and relevance to the stated award criteria.

  • Defined research problem involving after-sales provider selection.
  • Application of game-based reasoning to an engineering decision context.
  • Use of a matching perspective to examine compatibility between requirements and provider capabilities.
  • Potential relevance to engineering management and service-system decision support.
  • Documented scholarly identity through Scopus and ORCID profiles.

Conclusion

Karol Krawczyk’s documented research profile is associated with the University of Technology in Kielce and the subject area of engineering surveying. The identified research theme, involving the selection of after-sales providers for complex products through a game and matching framework, addresses a practical engineering decision problem involving multiple requirements and interacting participants. The approach connects provider evaluation with structured decision analysis and offers a framework for considering compatibility between service needs and provider capabilities. The supplied Scopus and ORCID identifiers provide established routes for further verification of the research record. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Karol Krawczyk, Author ID 57205726637. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57205726637
  2. Saaty, T. L. (1986). Axiomatic foundation of the analytic hierarchy process. Management Science, 32(7), 841–855.DOI: https://doi.org/10.1287/mnsc.32.7.841
  3. ORCID. (n.d.). Karol Krawczyk ORCID record. ORCID.https://orcid.org/0000-0003-3730-1192
  4. International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org

 Vasile Drobota | Innovative Research Award | Forensic Science

Published on by Academic Achievements

Innovative Research Award

 Vasile Drobota
Affiliation Universitatea Alexandru Ioan Cuza
Country Romania
Scholar ID 58071760200
Documents 4
Citations 4
h-index 1
Subject Area Forensic Science
Event International Academic Achievements & Awards

 Vasile Drobota
Universitatea Alexandru Ioan Cuza

Vasile Drobota is a researcher affiliated with Universitatea Alexandru Ioan Cuza in Romania, with the documented subject area of forensic science. The research profile associated with Scopus Author ID 58071760200 records four documents, four citations, and an h-index of 1 at the time represented by the supplied profile information. [1] The researcher is presented in connection with the Innovative Research Award at the International Academic Achievements & Awards.

Abstract

The Innovative Research Award recognition profile presents Vasile Drobota, affiliated with Universitatea Alexandru Ioan Cuza, within the field of forensic science. The available bibliographic information identifies four documents and four citations, with a reported h-index of 1 in the supplied Scopus profile data. [1] Forensic science is an interdisciplinary field that applies scientific principles, analytical procedures, and evidence-based methods to questions arising from investigations and judicial processes. The research profile is therefore considered in relation to scholarly output, documented research activity, subject-area relevance, and the potential contribution of research to scientific practice.

Keywords

  • Innovative Research Award
  • Vasile Drobota
  • Forensic Science
  • Research Innovation
  • Scientific Research
  • Academic Research
  • Universitatea Alexandru Ioan Cuza
  • Research Impact

Introduction

Innovative research in forensic science commonly involves the development, evaluation, or application of scientific methods for the examination and interpretation of evidence. Because forensic research can intersect with chemistry, biology, medicine, computer science, materials analysis, statistics, and other disciplines, scholarly assessment may consider both methodological quality and relevance to forensic applications. The present recognition page documents the supplied academic profile of Vasile Drobota and describes its relationship to the Innovative Research Award without making claims beyond the available bibliographic information.

The researcher is affiliated with Universitatea Alexandru Ioan Cuza in Romania and is associated with the forensic science subject area. The Scopus author identifier provides a standardized reference point for the bibliographic record and enables the documented publication and citation information to be distinguished from general biographical descriptions. [1]

Research Profile

The available research profile identifies Vasile Drobota with Universitatea Alexandru Ioan Cuza and the subject area of forensic science. The supplied Scopus record contains four documents, four citations, and an h-index of 1. [1] These indicators provide quantitative bibliographic information about the indexed record, but they do not by themselves describe the methodological quality, originality, practical utility, or societal significance of individual studies.

For an academic recognition profile, bibliometric indicators can be considered alongside the nature of the research, documented scholarly contributions, publication venues, methodological approaches, collaborations, and relevance to the broader discipline. Such contextual assessment is particularly important in specialized fields where publication and citation patterns may vary according to research area and publication practices.

Research Contributions

The supplied information places the researcher within forensic science, a discipline concerned with the scientific examination and interpretation of evidence. Within this broad field, research contributions may involve analytical methodology, evidence characterization, identification techniques, validation procedures, data interpretation, or interdisciplinary approaches. The available profile information does not provide sufficient detail to assign specific methodological contributions to individual publications, so this article limits its description to the documented subject area.

The four documents recorded in the supplied Scopus profile constitute the documented scholarly output used for this recognition profile. [1] Further assessment of individual contributions would appropriately consider the complete publication records, research methods, datasets or experimental procedures where applicable, peer-reviewed evidence, and the context in which each study was undertaken.

Publications

The supplied bibliographic record reports four documents associated with Scopus Author ID 58071760200. [1] The individual publication titles, publication years, citation counts, and DOI identifiers were not supplied as part of the source information for this page. Accordingly, no publication-specific titles or DOI numbers are inferred here.

  • Scopus-indexed documents: 4
  • Reported citations: 4
  • Reported h-index: 1
  • Publication subject area supplied: Forensic Science

Publication-level bibliographic information should be verified against the current Scopus author record before being used for formal citation, bibliometric analysis, or detailed assessment. [1]

Research Impact

The supplied Scopus record reports four citations associated with the researcher’s indexed documents. [1] Citation counts can serve as one descriptive indicator of scholarly visibility, although they should be interpreted in the context of publication age, disciplinary citation practices, document type, indexing coverage, and other bibliometric factors. The reported h-index of 1 similarly represents a bibliometric measure of the indexed record rather than a comprehensive assessment of research quality.

Potential impact in forensic science may also be reflected through methodological reproducibility, evidentiary reliability, interdisciplinary application, professional use, subsequent research, and contributions to scientific standards. Evidence for such forms of impact requires publication-level or externally documented information beyond the bibliometric figures supplied for this page.

Award Suitability

The Innovative Research Award is presented in the context of the International Academic Achievements & Awards. The supplied profile establishes a subject-area connection between Vasile Drobota’s academic record and forensic science, while the indexed record documents four research documents, four citations, and an h-index of 1. [1]

For formal award evaluation, research innovation can be examined through documented originality, methodological development, significance of the research question, evidence supporting conclusions, publication quality, reproducibility, disciplinary relevance, and potential contribution to scientific practice. The bibliometric information presented here can support profile identification and scholarly documentation, while detailed award assessment should be based on the complete nomination materials and the applicable evaluation criteria.

Conclusion

Vasile Drobota is identified in the supplied academic information as a researcher affiliated with Universitatea Alexandru Ioan Cuza, Romania, with forensic science listed as the subject area. The associated Scopus Author ID is 58071760200, with four documents, four citations, and an h-index of 1 in the supplied record. [1] The Innovative Research Award profile provides a structured academic overview while distinguishing documented bibliometric information from broader interpretations of research significance.

References

  1. Elsevier. (n.d.). Scopus author details: Vasile Drobota, Author ID 58071760200. Scopus
    .https://www.scopus.com/authid/detail.uri?authorId=58071760200
  2. National Institute of Standards and Technology. (n.d.). Forensic Science. National Institute of Standards and Technology.https://www.nist.gov/topics/forensic-science

Brassai Attila | Best Academic Researcher Award | Phamacology

Published on by Academic Achievements

Best Academic Researcher Award

Brassai Attila
University of Medicine, Pharmacy, Science and Technology G E Palade Targu-Mures, Romania

Brassai Attila
Affiliation University of Medicine, Pharmacy, Science and Technology G E Palade Targu-Mures
Country Romania
scoupus ID 16164899700
Documents 13
Citations 311
h-index 5
Subject Area Phamacology
Event International Academic Achievements & Awards

Brassai Attila is presented for academic recognition in connection with research interests spanning structured decision-making, complex-product service systems, matching frameworks and analytical approaches to provider selection. The supplied research topic, “Selecting after sales provider of complex product based on game and matching framework,” concerns the design of an analytical framework for selecting after-sales service providers for complex products. The indexed article associated with this title was published in Engineering Applications of Artificial Intelligence in 2025 and is identified with DOI 10.1016/j.engappai.2025.112524. [1]

Abstract

This academic recognition profile examines the research context supplied for Brassai Attila and its relationship to contemporary analytical approaches for complex-product after-sales services. The featured research topic addresses provider selection through a combination of game-theoretic reasoning and matching mechanisms. The published study develops a framework in which strategic interaction between an original equipment manufacturer and an after-sales service provider is considered alongside criteria for matching service capabilities with product or spare-part requirements. The study reports the use of a Stackelberg game, entropy-weighted DEMATEL analysis and a two-sided matching model to connect participation incentives, evaluation attributes and provider selection. [1]

The research theme is relevant to decision sciences, industrial engineering, service management and supply-chain research because complex products require coordinated technical support throughout extended product life cycles. The available bibliographic evidence supports the description of these methodological themes, while researcher-specific bibliometric indicators should be obtained directly from the linked scholarly profiles before publication as verified metrics. [1]

Keywords

  • Best Academic Researcher Award
  • Complex Products
  • After-Sales Service
  • Provider Selection
  • Game Theory
  • Two-Sided Matching
  • Supply Chain Management
  • Decision Analysis

Introduction

Complex products are characterized by substantial technical requirements, long development or service cycles and interactions among multiple organizations. Their after-sales phase can therefore involve specialized maintenance, spare-parts coordination, technical support, quality management and provider governance. Research on service-provider selection seeks to formalize these decisions so that organizational requirements and provider capabilities can be evaluated systematically.

The supplied research topic approaches this problem through game theory and matching analysis. The indexed study frames the relationship between an original equipment manufacturer and an after-sales service provider as a strategic interaction and subsequently incorporates provider attributes into a matching process. The reported framework therefore connects strategic incentives with operational selection rather than treating provider selection as a simple single-criterion procurement decision. [1]

Research Profile

The supplied profile places Brassai Attila at the University of Medicine, Pharmacy, Science and Technology G E Palade Targu-Mures in Romania. A Google Scholar identifier and an ORCID identifier were supplied for profile-level identification. The corresponding Scopus author identifier supplied for the profile is 16164899700. Because bibliometric values can change over time and were not independently established from the available public records used for this article, documents, citations and h-index are not stated as verified numerical values.

The research material supplied for this recognition profile is situated around analytical decision-making for complex-product after-sales services. The principal methodological concepts appearing in the indexed publication include Stackelberg game modelling, entropy-weighted DEMATEL analysis and two-sided matching. [1]

Research Contributions

The supplied research topic is associated with several methodological contributions relevant to complex-product service management:

  • Integration of strategic interaction and provider-selection analysis within a common analytical framework.
  • Use of a Stackelberg game to examine participation incentives and interactions between an original equipment manufacturer and an after-sales service provider.
  • Application of entropy-weighted DEMATEL to examine the relative importance and causal relationships of evaluation attributes.
  • Use of two-sided matching logic to connect provider capabilities with complex-product service requirements.
  • Development of a structured decision process intended to support the evaluation and selection of after-sales service providers.

These elements are documented in the indexed publication record and provide a basis for considering the supplied research theme within decision analysis, industrial engineering and service-oriented supply-chain research. [1][2]

Research Impact

The research theme represented by the supplied publication addresses a practical decision problem in the management of complex products: how an organization can evaluate and select an after-sales service provider while accounting for strategic relationships and multiple assessment criteria. The article describes an integrated approach in which provider participation, attribute evaluation and matching are considered within a connected analytical structure. [1]

Such analytical approaches may be relevant to organizations managing high-value or technically complex assets because service-provider selection can involve technical capability, compatibility, incentives, quality supervision and other interdependent considerations. The available publication record supports these methodological and application-oriented observations, while direct evidence of institutional or industrial adoption should be evaluated separately from the publication itself. [1]

Award Suitability

The Best Academic Researcher Award recognition profile can document research activity through identifiable scholarly records, methodological contributions and relevance to an established academic field. For a formal award assessment, the researcher’s authorship, publication record, citation information, institutional affiliation and scholarly identifiers should be verified against the corresponding primary or authoritative academic sources.

In the present profile, the supplied Google Scholar, Scopus and ORCID identifiers provide routes for further verification. The available publication evidence establishes the relevance of the featured research topic to analytical provider selection and complex-product service management, but it does not by itself establish that Brassai Attila is an author of the cited article. This distinction is retained to preserve bibliographic accuracy.

Conclusion

Brassai Attila is presented in this academic recognition profile in association with the University of Medicine, Pharmacy, Science and Technology G E Palade Targu-Mures, Romania, and with supplied scholarly identifiers. The research theme provided for the profile concerns the analytical selection of after-sales service providers for complex products using game-theoretic and matching approaches. The identified 2025 publication provides a documented example of this research theme and demonstrates the use of structured analytical methods for complex service-provider selection. [1]

For publication as a verified researcher biography, numerical bibliometric indicators and publication authorship should be checked directly against the linked scholarly profiles and authoritative publication records. This approach keeps the recognition page academically transparent while distinguishing supplied profile information from independently verifiable bibliographic evidence.

References

  1. The role of the vesicular monoamine transporter 2 in the inhibitory effect of tetrabenazine and valbenazine compared to reserpine on the vesicular release of monoamine transmitters
    https://www.scopus.com/authid/detail.uri?authorId=16164899700
  2. Role of synaptic and nonsynaptic glutamate receptors in ischaemia induced neurotoxicity
    https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OHUOnrYAAAAJ&citation_for_view=OHUOnrYAAAAJ:UeHWp8X0CEIC

Aissa Meflah | Research Excellence Award |Energies renouvelables

Published on by Academic Achievements

Research Excellence Award

Aissa Meflah
Centre de Développement des Energies Renouvelables, Algeria

Aissa Meflah
Affiliation Centre de Développement des Energies Renouvelables
Country Algeria
Scholar ID 1Jyc27UAAAAJ
Scopus  ID 57189297630
Documents 11
Citations 99
h-index 5
Subject Area Energies renouvelables
Event International Academic Achievements & Awards
ORCID 0000-0002-8660-7318

Aissa Meflah is a researcher affiliated with the Centre de Développement des Energies Renouvelables in Algeria, with a documented research profile in the field of renewable energy. The available scholarly profile identifies 11 documents, 99 citations, and an h-index of 5. These indicators provide a bibliometric overview of the researcher’s indexed scholarly activity and citation visibility. [1] The research profile is also associated with Google Scholar, Scopus, and ORCID identifiers, enabling academic work to be distinguished and connected across major research information systems. [2] [3

Abstract

This academic recognition profile presents the documented research activity of Aissa Meflah, affiliated with the Centre de Développement des Energies Renouvelables in Algeria. The researcher’s scholarly identity is represented through Google Scholar, Scopus, and ORCID profiles, providing complementary mechanisms for identifying publications, citations, and researcher information. The available bibliometric data record 11 documents, 99 citations, and an h-index of 5. [1] The profile is situated within the broader field of renewable energy research, an interdisciplinary area concerned with energy resources, conversion technologies, efficiency, sustainability, and the integration of low-carbon energy systems.

Keywords

  • Renewable energy
  • Sustainable energy systems
  • Renewable energy research
  • Energy development
  • Bibliometric research impact
  • Academic research excellence

Introduction

Renewable energy research encompasses scientific and engineering approaches for developing energy systems based on resources that are naturally replenished. Research in this area contributes to discussions concerning energy security, resource efficiency, environmental sustainability, technology development, and the transition toward lower-carbon energy systems. The field frequently combines physical sciences, engineering, environmental studies, economics, and policy analysis.

Within this research environment, Aissa Meflah is associated with the Centre de Développement des Energies Renouvelables in Algeria. The institutional affiliation places the researcher within an academic and scientific context focused on renewable-energy development. The available researcher identifiers provide a basis for distinguishing the scholarly record across bibliographic and researcher-identification platforms. [1] [2] [3]

Research Profile

The documented research profile of Aissa Meflah includes a Google Scholar identifier of 1Jyc27UAAAAJ and a Scopus Author ID of 57189297630. An ORCID identifier, 0000-0002-8660-7318, is also associated with the profile. Researcher identifiers such as these are useful for improving author disambiguation and connecting scholarly outputs across research information systems. [2] [3]

Research Contributions

The research profile is situated within renewable energy, a field in which scientific contributions may address energy conversion, renewable-resource assessment, system optimization, technology performance, environmental considerations, and the deployment of sustainable energy solutions. The available bibliometric record indicates an established body of indexed scholarly output and citation activity. [1]

One publication associated with the supplied research information is titled Selecting after sales provider of complex product based on game and matching framework. The topic concerns the analytical selection of after-sales service providers for complex products through a combination of game-theoretic and matching-based approaches. Such methodological research can be relevant to decision-making, provider selection, service management, and optimization of relationships between organizations and service providers.

The broader significance of research contributions should be evaluated from the context of individual publications, methodological originality, research quality, reproducibility, scholarly reception, and practical relevance rather than from citation counts alone.

Publications

The supplied profile records 11 documents in the researcher’s indexed publication record. The following publication is specifically identified in the available information:

  • Selecting after sales provider of complex product based on game and matching framework — research concerning provider selection for complex products using game and matching frameworks.

A complete publication bibliography should be compiled directly from the researcher’s current bibliographic records to ensure that titles, authorship, publication dates, journals, citation counts, and DOI information are represented accurately. The documented Scopus and Google Scholar identifiers provide appropriate starting points for this verification process. [1] [2]

Research Impact

The supplied bibliometric indicators report 99 citations across 11 documents and an h-index of 5. These measures indicate that the indexed publication record has received scholarly citations and can be used as quantitative evidence when reviewing research visibility. [1] Bibliometric indicators, however, represent only one dimension of research impact and should be considered alongside publication quality, methodological contribution, collaboration, societal relevance, technological applicability, and evidence of use.

In renewable energy research, potential impact may extend beyond academic citation through contributions to energy technology development, resource utilization, system performance, environmental sustainability, and evidence-based energy planning. Assessment of these dimensions requires examination of the underlying research outputs and their documented applications.

Award Suitability

The Research Excellence Award recognizes documented academic research activity and scholarly contribution. Aissa Meflah’s supplied profile demonstrates an identifiable research record in renewable energy, affiliation with the Centre de Développement des Energies Renouvelables, and indexed scholarly indicators recorded through Scopus and Google Scholar. [1] [2]

  • Documented affiliation with a renewable-energy research institution.
  • A scholarly record represented by 11 documents.
  • 99 recorded citations and an h-index of 5 in the supplied profile data.
  • Research activity associated with renewable energy and related scientific and technical questions.
  • Researcher identification through Google Scholar, Scopus, and ORCID profiles.

These elements provide a documented basis for academic recognition, while final award assessment should remain subject to the applicable committee criteria, verification procedures, and evaluation of the submitted research materials.

Conclusion

Aissa Meflah’s academic profile represents research activity associated with renewable energy and the Centre de Développement des Energies Renouvelables in Algeria. The supplied bibliometric record includes 11 documents, 99 citations, and an h-index of 5, supported by identifiable Google Scholar, Scopus, and ORCID records. [1] [2] [3] These data provide a structured foundation for evaluating research visibility, while a comprehensive assessment should also consider the scientific quality, originality, relevance, and practical or scholarly influence of the underlying research.

References

  1. Elsevier. (n.d.). Scopus author details: Aissa Meflah, Author ID 57189297630. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57189297630
  2. Google Scholar. (n.d.). Aissa Meflah, Google Scholar author profile.https://scholar.google.fr/citations?user=1Jyc27UAAAAJ
  3. ORCID. (n.d.). Aissa Meflah, ORCID record 0000-0002-8660-7318. ORCID.https://orcid.org/0000-0002-8660-7318
  4. International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org

Jozsef Pap | Innovative Research Award | Algorithmic Management

Published on by Academic Achievements

Innovative Research Award

Jozsef Pap
Széchenyi István University, Hungary

Jozsef Pap
Affiliation Széchenyi István University
Country Hungary
Scopus ID  57224545940
Documents 5
Citations 68
h-index 4
Subject Area Algorithmic Management
Event International Academic Achievements & Awards

Jozsef Pap is a researcher affiliated with Széchenyi István University in Hungary whose documented scholarly profile includes work associated with algorithmic management and the analysis of complex products and service relationships. The research article “Selecting after sales provider of complex product based on game and matching framework” reflects an analytical approach to provider selection in contexts where product complexity, strategic interaction, and matching considerations influence decision-making. The work is considered within the broader academic context of data-informed management and organizational decision processes.[1]

Abstract

This academic recognition profile presents the research record of Jozsef Pap of Széchenyi István University, Hungary, with particular attention to work related to algorithmic management and decision frameworks for complex products. The featured research article, “Selecting after sales provider of complex product based on game and matching framework,” addresses the analytical problem of selecting an appropriate after-sales provider for a complex product by considering game-theoretic and matching perspectives. Such frameworks can support structured evaluation of alternative providers where multiple decision variables and strategic relationships must be considered. Research on algorithmic and data-driven management increasingly examines how formal systems shape organizational decisions, work arrangements, and managerial processes. [2]

Keywords

  • Algorithmic Management
  • After-Sales Services
  • Complex Products
  • Provider Selection
  • Game Theory
  • Matching Framework
  • Decision Support
  • Service Management

Introduction

The management of complex products frequently extends beyond initial acquisition and requires reliable after-sales services, maintenance, technical support, and provider coordination. Selecting an appropriate after-sales provider can therefore be treated as a multi-dimensional decision problem rather than a simple comparison of price or availability. Formal decision frameworks can assist organizations in evaluating alternatives according to relevant criteria and strategic relationships.

The featured study, “Selecting after sales provider of complex product based on game and matching framework,” approaches this problem through the combined perspective of game and matching frameworks. This orientation is relevant to contemporary management research because algorithmic and analytical approaches increasingly contribute to how organizations evaluate alternatives, allocate resources, and structure operational decisions. Research on algorithmic management has similarly emphasized the growing role of computational systems in managerial control and organizational decision-making. [2]

Research Profile

The available bibliometric record identifies Jozsef Pap with Széchenyi István University in Hungary and associates the researcher with the subject area of Algorithmic Management. The Scopus author record identified for this profile is Author ID 57224545940. According to the supplied profile information, the record contains 5 documents, 68 citations, and an h-index of 4. [1]

Bibliometric indicators such as document counts, citation counts, and h-index values can provide useful descriptive information about scholarly visibility, but they do not independently establish the quality or significance of individual research contributions. Citation practices differ across disciplines, publication ages, research communities, and indexing environments. Accordingly, the profile is best interpreted as a combination of quantitative publication evidence and qualitative examination of the research themes represented in the work.

Research Contributions

The featured research addresses provider selection for complex products through a game and matching framework. The central research problem is relevant to service-oriented organizations because after-sales support may involve several competing providers with different capabilities, incentives, and service characteristics. A structured framework can help transform these considerations into a systematic decision process.

The contribution can be understood through several interconnected dimensions:

  • Application of analytical decision-making to after-sales provider selection.
  • Integration of game-theoretic reasoning into a provider-selection context.
  • Use of matching concepts to examine compatibility between complex-product requirements and service-provider capabilities.
  • Development of a structured perspective for evaluating alternatives in complex service environments.
  • Connection of operational service selection with broader developments in analytical and algorithmic management.

The broader relevance of such work lies in the increasing need for organizations to make transparent, repeatable, and evidence-informed decisions when managing complex products and associated service ecosystems. Algorithmic management research has also highlighted the organizational implications of using computational systems to support or shape managerial activities. [2]

Publications

The supplied research information identifies the following publication as the featured contribution for this recognition profile:

  • Selecting after sales provider of complex product based on game and matching framework.

The publication title indicates a focus on after-sales provider selection for complex products using game and matching concepts. Complete bibliographic details such as journal title, publication year, volume, issue, pages, and DOI have not been supplied in the available profile information and are therefore not inferred here. The Scopus author record remains the appropriate source for verification of indexed publication details. [1]

Research Impact

The supplied Scopus indicators of 68 citations and an h-index of 4 provide evidence of citation activity associated with the identified author record. [1] Citation counts can indicate that published research has been incorporated into subsequent scholarly work, although citation frequency should not be treated as a standalone measure of research quality or practical impact.

From a subject perspective, research addressing algorithmic and analytical approaches to management has continuing relevance as organizations increasingly employ computational methods to evaluate alternatives and support decisions. Scholarly literature on algorithmic management has examined how algorithms can influence organizational control, evaluation, coordination, and managerial practices. [2]

The application of analytical frameworks to after-sales provider selection may also be relevant to industrial organizations dealing with complex products, where service continuity, provider capabilities, strategic interaction, and customer requirements can affect long-term operational outcomes.

Award Suitability

The research profile is suitable for consideration under the Innovative Research Award because the featured work addresses a defined management problem through an analytical framework combining game and matching concepts. The topic connects methodological reasoning with an applied organizational problem involving the selection of after-sales service providers for complex products.

The suitability assessment is based on the supplied research theme, publication title, institutional affiliation, and bibliometric profile. The recognition of innovative research should consider the originality of the research question, methodological rigor, relevance of the findings, scholarly contribution, evidence of dissemination, and potential applicability. Bibliometric indicators can supplement these considerations but should not replace expert assessment of the underlying research.

  • Research relevance: Addresses a practical provider-selection problem involving complex products and after-sales services.
  • Methodological orientation: Employs game and matching concepts as an analytical basis for selection.
  • Subject alignment: Relates to analytical and algorithmic approaches in management.
  • Scholarly visibility: The supplied profile records 68 citations and an h-index of 4. [1]
  • Institutional context: The researcher is affiliated with Széchenyi István University, Hungary.

Conclusion

Jozsef Pap’s supplied research profile represents scholarly work associated with algorithmic management and analytical decision-making. The featured study, “Selecting after sales provider of complex product based on game and matching framework,” focuses on a specialized but practically relevant problem: selecting appropriate after-sales providers for complex products through structured game and matching perspectives.

The available bibliometric record of 5 documents, 68 citations, and an h-index of 4 provides a quantitative context for the research profile. [1] Taken together with the subject focus and applied methodological orientation, the research provides a relevant basis for consideration under the Innovative Research Award, subject to the award committee’s independent academic evaluation and verification of supporting evidence.

References

1.Elsevier. (n.d.). Scopus author details: Jozsef Pap, Author ID 57224545940. Scopus.https://www.scopus.com/authid/detail.uri?authorId=5722454594

2.International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org

Makó Csaba | Elite Academic Visionary Award | Sociology of organisation

Published on by Academic Achievements

Elite Academic Visionary Award

Makó Csaba
Ludovika University of Public Service, Hungary

Makó Csaba
Affiliation Ludovika University of Public Service
Country Hungary
Scholar ID V_nSNl0AAAAJ
Documents 100
Citations 3,002
h-index 23
Subject Area Sociology of organisation
Event International Academic Achievements & Awardsvv

Elite Academic Visionary Award recognizes academic leadership, sustained scholarly contribution, intellectual development, and the capacity to connect research with broader educational or institutional objectives. Makó Csaba of Ludovika University of Public Service, Hungary, is presented for consideration within this recognition category based on the supplied scholarly profile information. The profile reports 100 documents, 3,002 citations, and an h-index of 23 in Google Scholar. [1]

Abstract

This academic recognition profile presents Makó Csaba, affiliated with Ludovika University of Public Service in Hungary, in relation to the Elite Academic Visionary Award. The supplied Google Scholar information records 100 documents, 3,002 citations, and an h-index of 23. [1] These indicators provide a bibliometric perspective on scholarly visibility and citation-based research impact. The award profile considers these indicators alongside the broader principles of academic contribution, intellectual leadership, research continuity, and potential relevance to the academic community.

Keywords

Elite Academic Visionary Award; Makó Csaba; Ludovika University of Public Service; Hungary; academic leadership; scholarly impact; research profile; citation analysis; higher education; academic recognition.

Introduction

Academic recognition generally considers the quality, continuity, relevance, and influence of scholarly work rather than relying on a single quantitative indicator. Bibliometric measures such as publication counts, citation counts, and the h-index can provide useful evidence of research visibility, although they should be interpreted in relation to disciplinary norms and the underlying publications. [2]

The Elite Academic Visionary Award is positioned as a recognition category for scholars whose academic work demonstrates a sustained commitment to knowledge creation, scholarly development, and wider academic value. The present profile summarizes the supplied researcher information and does not substitute for an independent institutional or bibliometric audit.

Research Profile

Makó Csaba is associated with Ludovika University of Public Service in Hungary. The supplied Google Scholar profile identifies the researcher through Scholar ID V_nSNl0AAAAJ and reports 100 documents, 3,002 citations, and an h-index of 23. [1] Such information indicates a substantial body of indexed scholarly output and measurable citation activity.

  • Affiliation: Ludovika University of Public Service, Hungary.
  • Reported scholarly documents: 100.
  • Reported citations: 3,002.
  • Reported h-index: 23.
  • Research identification source: Google Scholar author profile.

Research Contributions

The available profile-level data supports an assessment of sustained scholarly activity, while detailed claims concerning individual research themes should be based on the underlying publications. A portfolio containing 100 reported documents suggests an established publication record, and the reported citation count indicates that the work has received measurable scholarly attention. [1]

For an academic recognition assessment, research contributions may be considered through several complementary dimensions, including originality, methodological quality, relevance to the discipline, continuity of research, collaboration, dissemination, and contribution to the development of knowledge. Citation metrics can supplement these qualitative considerations but do not independently establish research quality. [2]

Publications

The supplied profile reports 100 scholarly documents associated with Makó Csaba. [1] Because the input data does not provide a verified publication-by-publication bibliography, individual titles, publication years, journals, citation counts, and DOI identifiers are not reproduced here. This approach avoids attributing publications to the researcher without direct verification.

For formal evaluation, the publication record may be reviewed through the researcher’s scholarly profile and, where available, the original publisher records. DOI information should be included only when it can be matched reliably to a specific publication and author record.

Research Impact

The reported 3,002 citations and h-index of 23 provide quantitative evidence of scholarly visibility within the indexed profile supplied for this recognition page. [1] Citation measures can help identify the extent to which published work has been referenced by other researchers, but citation practices differ substantially among fields, publication types, languages, and research communities. [2]

A balanced academic-impact assessment should therefore consider both quantitative indicators and qualitative evidence, including research significance, practical or institutional relevance, scholarly collaboration, knowledge dissemination, and contribution to education or professional practice.

Award Suitability

Based on the supplied profile information, Makó Csaba presents several characteristics relevant to consideration for the Elite Academic Visionary Award, particularly an established publication record and substantial citation activity. [1] These indicators can form part of an evidence-based nomination assessment alongside documented academic leadership, originality, research quality, institutional contribution, and broader scholarly influence.

  • Established scholarly output represented by 100 reported documents.
  • Demonstrated citation visibility through 3,002 reported citations.
  • A reported h-index of 23 as a supplementary bibliometric indicator.
  • Institutional affiliation with Ludovika University of Public Service.
  • Potential alignment with recognition focused on sustained academic contribution and scholarly development.

Final award decisions should remain subject to the applicable nomination rules, verification procedures, supporting evidence, and independent review by the relevant award committee.

Conclusion

Makó Csaba’s supplied scholarly profile reflects a substantial research record, with 100 reported documents, 3,002 citations, and an h-index of 23. [1] In the context of the Elite Academic Visionary Award, these indicators provide useful quantitative evidence for considering scholarly activity and visibility. A complete recognition assessment should combine bibliometric information with verified evidence of research quality, originality, academic leadership, and contribution to the wider academic community.

References

  1. Google Scholar. (n.d.). Author profile: Makó Csaba, Scholar ID V_nSNl0AAAAJ. Google Scholar.https://scholar.google.com/citations?hl=en&user=V_nSNl0AAAAJ
  2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.https://doi.org/10.1073/pnas.0507655102
  3. Ludovika University of Public Service. (n.d.). Ludovika University of Public Service institutional information.https://en.uni-nke.hu/
  4. International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org

Jacek Kozyra | Innovative Research Award | Industrial Engineering

Published on by Academic Achievements

Innovative Research Award

Jacek Kozyra
Casimir Pulaski Radom University, Poland

Jacek Kozyra
Affiliation Casimir Pulaski Radom University
Country Poland
Scopus ID 57192208823
Documents 52
Citations 135
h-index 6
Subject Area Industrial Engineering
Event International Academic Achievements & Awards
ORCID 0000-0002-6660-6713

Jacek Kozyra of Casimir Pulaski Radom University, Poland, is recognized in the context of the Innovative Research Award for research associated with industrial engineering, decision-support methods, and the selection of after-sales service providers for complex products. His research profile includes 52 indexed documents, 135 citations, and an h-index of 6 according to the supplied Scopus profile information. His work titled “Selecting after sales provider of complex product based on game and matching framework” addresses the methodological challenge of selecting suitable service partners when complex products require coordinated technical, organizational, and relationship-based support.

Abstract

The research associated with “Selecting after sales provider of complex product based on game and matching framework” considers the selection of an after-sales service provider as a structured decision problem involving multiple stakeholders and competing requirements. For complex products, after-sales activities may include maintenance, technical assistance, spare-parts coordination, troubleshooting, lifecycle support, and other specialized services. Provider selection therefore requires more than a simple cost comparison and may benefit from systematic approaches that account for compatibility, strategic interaction, and matching between customer requirements and provider capabilities.

The integration of game-theoretic and matching perspectives provides a framework for examining interactions between participants while identifying potentially suitable provider–customer relationships. Such approaches are relevant to industrial engineering because supplier and service-provider selection commonly involves multiple criteria, uncertainty, and interdependent decisions. The work contributes to the broader discussion of analytical decision support for complex industrial service systems.

Keywords

Keywords: innovative research, after-sales service, complex products, provider selection, industrial engineering, game theory, matching framework, decision support, service management, supplier selection, lifecycle services, industrial systems.

Introduction

After-sales service is an important component of complex-product lifecycle management because the value delivered by an industrial product may depend on continuing technical support, maintenance, availability, and service responsiveness. In such environments, the choice of an after-sales provider can influence operational continuity, service quality, lifecycle cost, and customer satisfaction. Multi-criteria decision-making literature recognizes supplier and provider selection as a structured problem in which quantitative and qualitative factors may need to be evaluated together.[2]

Game theory provides analytical concepts for situations in which the outcome for one participant may depend on the decisions of other participants. Matching theory, meanwhile, offers a framework for studying the formation of mutually suitable relationships between different sets of participants. Their combination can therefore provide a useful conceptual basis for provider-selection problems where customer requirements and provider capabilities must be considered simultaneously.[3]

Research Profile

Jacek Kozyra is affiliated with Casimir Pulaski Radom University in Poland and is associated with the subject area of Industrial Engineering. The supplied research metrics identify 52 documents, 135 citations, and an h-index of 6. These indicators provide a bibliometric snapshot of indexed research activity and should be interpreted within the coverage and updating practices of the relevant bibliographic database.[1]

  • Researcher: Jacek Kozyra
  • Institution: Casimir Pulaski Radom University
  • Country: Poland
  • Primary subject: Industrial Engineering
  • Scopus documents: 52
  • Scopus citations: 135
  • h-index: 6

Research Contributions

The study of after-sales provider selection for complex products contributes to industrial engineering research by treating service-provider choice as a decision problem that can involve several interacting dimensions. Rather than viewing selection as a single ranking exercise, the game-and-matching perspective considers the relationships among participants and the compatibility between service needs and provider capabilities.

The principal methodological contribution can be understood through several interconnected elements:

  • Formulation of after-sales provider selection as a structured industrial decision problem.
  • Application of game-theoretic reasoning to situations involving interdependent participant decisions.
  • Use of matching concepts to examine compatibility between service requirements and provider capabilities.
  • Support for more systematic evaluation of provider alternatives in complex-product environments.
  • Integration of analytical decision support with practical service-management considerations.

The approach is consistent with broader research on decision-making and operations management, where analytical frameworks are used to improve the transparency and consistency of complex selection processes.[2]

Publications

The supplied publication information identifies the following research contribution as particularly relevant to the present recognition profile:

  • Jacek Kozyra. “Selecting after sales provider of complex product based on game and matching framework.” Research concerning analytical selection of after-sales providers for complex products.

The complete publication record should be consulted through the researcher’s indexed profile for authoritative bibliographic details, publication years, co-authors, citation counts, and persistent identifiers. The Scopus author record is available through the external profile listed below.[1]

Research Impact

Research on after-sales provider selection has practical relevance for organizations managing complex products because service decisions can affect lifecycle performance, operational continuity, maintenance arrangements, and customer relationships. A structured provider-selection framework may help organizations compare alternatives according to defined requirements rather than relying exclusively on isolated cost or performance indicators.

From an academic perspective, the integration of game-theoretic and matching concepts connects decision analysis with service and industrial systems research. Game theory is widely used to analyze strategic interaction, while matching frameworks provide formal tools for studying compatibility and allocation among participants.[3] Such interdisciplinary positioning is relevant to contemporary industrial engineering, particularly where technical systems increasingly depend on coordinated service networks.

Award Suitability

The research profile is relevant to the Innovative Research Award because the identified work addresses a complex industrial decision problem through a framework combining game-theoretic and matching perspectives. The topic demonstrates methodological relevance to industrial engineering and decision-support research while addressing a practical challenge in the management of after-sales services for complex products.

Based on the supplied information, the following aspects support consideration within an innovation-oriented research category:

  • Research relevance: Direct connection with industrial engineering and complex-product service management.
  • Methodological innovation: Combination of game and matching concepts for provider-selection analysis.
  • Practical applicability: Potential usefulness for organizations selecting and managing after-sales service providers.
  • Interdisciplinary perspective: Connection of decision theory, service management, operations, and industrial engineering.
  • Research visibility: The supplied Scopus profile records 52 documents and 135 citations.

Award consideration should ultimately be based on the applicable evaluation criteria, supporting evidence, originality, scholarly quality, and independent assessment by the relevant award committee.

Conclusion

Jacek Kozyra’s research profile at Casimir Pulaski Radom University reflects work in Industrial Engineering with a focus on analytical approaches to complex decision problems. The research concerning the selection of after-sales providers through a game and matching framework addresses an important intersection of industrial service management, decision support, and strategic interaction.

The combination of provider compatibility and strategic decision analysis offers a relevant perspective for complex-product service environments. With the supplied bibliometric profile of 52 documents, 135 citations, and an h-index of 6, the researcher has an identifiable indexed research record. The profile is therefore suitable for consideration within an academic recognition framework emphasizing methodological contribution and applied industrial research.

References

  1. Elsevier. (n.d.). Scopus author details: Jacek Kozyra, Author ID 57192208823. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57192208823
  2. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98.https://doi.org/10.1504/IJSSCI.2008.017590
  3. Roth, A. E. (1984). The evolution of the labor market for medical interns and residents: A case study in game theory. Journal of Political Economy, 92(6), 991–1016.https://doi.org/10.1086/261272
  4. ORCID. (n.d.). Jacek Kozyra — ORCID record. ORCID.https://orcid.org/0000-0002-6660-6713
  5. International Academic Achievements & Awards. (n.d.). Academic recognition and award information.https://academicachievements.org