Anchal Dass | Innovative Research Award | Natural Resource Management

Innovative Research Award

Anchal Dass
ICAR Indian Agricultural Research Institute

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

Seyed Roohollah Mousavi | Pedometric | Best Researcher Award

Dr. Seyed Roohollah Mousavi | Pedometric | Best Researcher Award 

Dr. Seyed Roohollah Mousavi | Pedometric | PhD Scholar at University of Tehran | Iran

Dr. Seyed Roohollah Mousavi is an accomplished soil scientist and researcher recognized for his expertise in digital soil mapping, pedometrics, and environmental modeling. He obtained his Ph.D. in Soil Resource Management from the University of Tehran, where he specialized in developing predictive models for soil properties in arid and semi-arid regions using advanced statistical and machine learning techniques. Dr. Seyed Roohollah Mousavi also holds an M.Sc. in Soil Genesis and Classification and a B.Sc. in Agricultural Engineering–Soil Science, which laid the foundation for his distinguished academic and research career. Over the years, he has contributed extensively to soil data science, integrating remote sensing, GIS, and artificial intelligence to enhance the precision of land resource evaluation. Professionally, Dr. Seyed Roohollah Mousavi has collaborated with several national and international institutions, including the Earth and Life Institute at Université Catholique de Louvain (UCLouvain), Belgium, where his research explored applications of Google Earth Engine (GEE) and R programming in soil and environmental studies. His research interests span across soil spatial modeling, soil carbon and nitrogen prediction, geostatistics, structural equation modeling, and digital soil property assessment. His technical proficiency includes GIS, remote sensing, multivariate analysis, and environmental data mining, which he applies innovatively in understanding soil-environment interactions. Dr. Seyed Roohollah Mousavi has received recognition for his outstanding contributions to soil science, including citations in high-impact journals and memberships in professional bodies such as the European Geosciences Union (EGU) and the Iranian Soil Science Society (ISSS). His academic achievements and research leadership highlight his dedication to advancing climate-smart agriculture, sustainable land use, and global soil health monitoring. Dr. Seyed Roohollah Mousavi continues to bridge data science and soil ecology, shaping the future of precision soil management and environmental conservation through innovative and evidence-based research.

Profile: Google Scholar

Featured Publications

Mousavi, S. R., Sarmadian, F., Omid, M., & Bogaert, P. (2022). Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran. Measurement. (47 citations)

Matinfar, H. R., Maghsodi, Z., Mousavi, S. R., & Rahmani, A. (2021). Evaluation and prediction of topsoil organic carbon using machine learning and hybrid models at a field-scale. Catena. (108 citations)

Rezaei, M., Mousavi, S. R., Rahmani, A., Zeraatpisheh, M., & Rahmati, M. (2023). Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil. Computers and Electronics in Agriculture. (39 citations)

Mousavi, S. R., Sarmadian, F., Angelini, M. E., Bogaert, P., & Omid, M. (2023). Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions. Catena. (32 citations)

Parsaie, F., Farrokhian Firouzi, A., Mousavi, S. R., Rahmani, A., & Sedri, M. H. (2021). Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map. Environmental Monitoring and Assessment. (39 citations)

Mousavi, S. R., Sarmadian, F., Dehghani, S., Sadikhani, M. R., & Taati, A. (2017). Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain. Eurasian Journal of Soil Science. (29 citations)

Mahmood Rostaminia, Z. M., Rahmani, A., Mousavi, S. R., & Taghizadeh, R. (2021). Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms. Environmental Monitoring and Assessment. (28 citations)