Krishna Prasad Dhital | Sociology | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Krishna Prasad Dhital, PhD – Rural Awareness and Development Organization Nepal

Krishna Prasad Dhital
Affiliation Rural Awareness and Development Organization Nepal
Country Nepal
Google Scholar ID e0RK0aUAAAAJ
Documents 10
Citations 13
h-index 2
Subject Area Sociology
Event World Top Scientists Awards

Krishna Prasad Dhital is a Nepalese researcher whose academic work focuses on sociology, social development, public health, sanitation, and community-related challenges. His research addresses contemporary social issues in Nepal through scholarly publications and evidence-based discussions. His academic profile reflects contributions to multidisciplinary research and social awareness.

Abstract

Krishna Prasad Dhital’s research examines significant social and developmental concerns, particularly within Nepalese communities. His publications address sanitation, gender-based violence, psychological well-being, agricultural health risks, and menstrual hygiene management. These studies contribute to discussions on public awareness, social conditions, and evidence-informed development approaches. His Google Scholar profile reports 10 documents, 13 citations, and an h-index of 2. [1]

Keywords

Sociology, Social Development, Nepal, Public Health, Sanitation, Gender Studies, Community Research, Social Awareness, Multidisciplinary Research.

Introduction

Social development research plays an important role in understanding inequalities, public health challenges, and community well-being. Dhital’s scholarly work explores these interconnected themes, with particular attention to Nepalese social contexts. His publications provide perspectives on sanitation accessibility, social behaviour, and public awareness. [2]

Research Profile

His academic portfolio covers social development and interdisciplinary research. The Google Scholar record identifies him as Chairperson, with social development as a professional area. His publications demonstrate engagement with community issues and research topics relevant to Nepal. His work reflects an interest in addressing societal challenges through research and contributing to knowledge development in the community. [1]

Research Contributions

His research contributions include examining sanitation challenges, psychological distress during the COVID-19 pandemic, gender-based violence, and public health awareness. His studies also consider agricultural pesticide exposure and menstrual hygiene management. These subjects connect individual well-being with broader social and community development priorities. [3]

Publications

Krishna Prasad Dhital has contributed to several multidisciplinary research publications addressing social development, public health, sanitation, community well-being, and contemporary societal challenges in Nepal. His published work reflects an academic interest in understanding social issues and promoting research-based awareness and development [5].

Research Impact

His publications address issues relevant to public awareness, community health, sanitation policy, and social research. The reported citation record provides an indication of scholarly engagement, while his multidisciplinary topics offer material for further academic investigation and community-focused discussions. His research interests also highlight the importance of understanding local challenges through evidence-based approaches and interdisciplinary perspectives. [4]

Award Suitability

His documented publications, interdisciplinary research interests, and contributions to social development provide relevant academic credentials for consideration under the Best Researcher Award at the World Top Scientists Awards. His research activities reflect an ongoing engagement with societal issues and the advancement of knowledge through multidisciplinary perspectives. Final recognition remains subject to the award committee’s evaluation criteria. [5]

Conclusion

Krishna Prasad Dhital’s academic profile reflects sustained engagement with social development and multidisciplinary research in Nepal. His publications contribute to scholarly discussions on important community and public health challenges. His research interests further highlight the value of academic inquiry in addressing social issues and supporting community awareness.

References

  1. Google Scholar. (2026). Krishna Prasad Dhital: Author profile and publication record.
    Google Scholar Profile
  2. Dhital, K. P., & Hans, V. B. (2024). A Bibliometric Examination of Sanitation Issues and Challenges in Nepal: Identifying Research Trends and Knowledge Gaps. NPRC Journal of Multidisciplinary Research, 1(9), 1–11. DOI: 10.3126/nprcjmr.v1i9.74138.
    https://doi.org/10.3126/nprcjmr.v1i9.74138
  3. Ghimire, M., Neupane, D., & Dhital, K. P. (2025). From Field to Food: Assessing Health Risks from Pesticide Use and Residues in the Nepalese Agri-Food System. NPRC Journal of Multidisciplinary Research, 2(9), 130–142. DOI: 10.3126/nprcjmr.v2i9.85177.
    https://doi.org/10.3126/nprcjmr.v2i9.85177
  4. Shrestha, H. L., Dhital, K. P., Shrestha, A., Tramu, G., & Sejuwal, N. (2025). The Digital Consumer Economy: Purchasing Behavior of Youth in E-Commerce Markets. NPRC Journal of Multidisciplinary Research, 2(8), 340–349. DOI: 10.3126/nprcjmr.v2i8.83947.
    https://doi.org/10.3126/nprcjmr.v2i8.83947
  5. Dhital, K. P., Karki, T. B., & Nepali, K. (2021). Psychological Distress in the COVID-19 Patients and their Family Members of Makawanpur District, Nepal. International Research Journal of MMC, 2(1), 1–14. DOI: 10.3126/irjmmc.v2i1.35125.
    https://doi.org/10.3126/irjmmc.v2i1.35125

Ebrahim Khodaie | Social Sciences | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Ebrahim Khodaie — University of Tehran

Ebrahim Khodaie
Affiliation University of Tehran
Country Iran
Scopus ID 23492563700
Documents 64
Citations 64
h-index 4
Subject Area Social Sciences
Event World Top Scientist Awards
ORCID 0000-0002-5634-5003

Ebrahim Khodaie is a researcher affiliated with the University of Tehran whose work focuses on educational assessment, psychometrics, learning analytics, and quantitative methodologies in the social sciences. His scholarly contributions emphasize evidence-based approaches to educational measurement and academic evaluation.[1]

Abstract

This article presents an overview of Ebrahim Khodaie’s academic profile in consideration for the Best Researcher Award. His work spans educational measurement, psychometric modeling, data mining, and learning analytics. Through interdisciplinary research, he has contributed to methodological advancements in assessment and educational decision-making.[2]

Keywords

Educational Assessment, Social Sciences, Psychometrics, Learning Analytics, Data Mining, Item Response Theory, Academic Evaluation.

Introduction

Educational assessment research increasingly depends on statistical and computational techniques for evaluating learning outcomes. Ebrahim Khodaie has contributed to this field through studies focused on fairness, predictive analytics, psychometric evaluation, and evidence-based educational methodologies. His work reflects a strong commitment to quantitative educational research.[3]

Research Profile

As a scholar at the University of Tehran, Khodaie has developed expertise in educational measurement and social science analytics. His publications address assessment systems, student performance evaluation, and statistical modeling techniques. His ORCID and Scopus records demonstrate continuous engagement in international scholarly communication.[1]

Research Contributions

Khodaie’s contributions include innovative approaches to cut-score determination, fairness in classroom assessment, educational data mining, and item response theory applications. His studies provide practical insights for researchers, institutions, and policymakers seeking reliable educational evaluation frameworks.[2]

Publications

  • Data-driven Cut Score Method Based on IRT, Clustering, and Gaussian Otsu Thresholding (2026).
  • Comparative Approach to Define Cutoff Scores Using Youden Index, Hurwicz Criterion and MLP Neural Networks (2025).
  • Fairness in Classroom Assessment: A Systematic Review (2022).
  • Application of Data Mining Techniques in Determining Student Academic Failure (2020).
  • Family Background and Socioeconomic Status Effects on Educational Performance (2016).

Research Impact

The researcher’s publications contribute to contemporary discussions on educational assessment quality and predictive learning analytics. His studies support improved measurement reliability, assessment fairness, and data-informed academic decision-making. These contributions have relevance across educational institutions and research communities.[4]

Award Suitability

The Best Researcher Award recognizes scholarly excellence, research quality, and sustained academic contribution. Khodaie’s publication portfolio and focus on rigorous methodological development align with the principles of academic recognition programs that emphasize innovation, impact, and scientific integrity.[5]

Conclusion

Ebrahim Khodaie has established a scholarly profile centered on educational measurement, data analytics, and social science research. His contributions demonstrate the value of quantitative methodologies in improving educational assessment practices. These achievements support consideration for recognition through international academic award programs.

References

  1. ORCID. (2026). Ebrahim Khodaie ORCID Record.
    https://orcid.org/0000-0002-5634-5003
  2. Parsaeian M, Khodaie E, Naderi H. Data-driven Cut Score Method Based on IRT, Clustering, and Gaussian Otsu Thresholding. Behaviormetrika. 2026.
    DOI:  https://doi.org/10.1007/s41237-026-00298-5
  3. Parsaeian M, Khodaie E, Izanloo B, Salehi K, NaghiZadeh S. Comparative Approach to Define Cutoff Scores Using Youden Index, Hurwicz Criterion and MLP Neural Networks. SN Computer Science. 2025.
    DOI: https://doi.org/10.1007/s42979-025-03974-7
  4. Khodaie E. Fairness in Classroom Assessment: A Systematic Review. The Asia-Pacific Education Researcher. 2022.
    DOI: https://doi.org/10.1007/s40299-021-00636-z
  5. Khodaie E. Application of Data Mining Techniques in Determining the Accuracy of the Models Predicting Student Academic Failure. Journal of Ilam University of Medical Sciences. 2020.
    DOI: https://doi.org/10.29252/sjimu.28.1.36