Jerina Rugji | Agricultural and Biological Sciences | Best Researcher Award

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Best Researcher Award

Jerina Rugji – Burdur Mehmet Akif Ersoy University

Jerina Rugji
Affiliation Burdur Mehmet Akif Ersoy University
Country Turkey
Scopus ID 57219026013
Documents 319
Citations 329
h-index 5
Subject Area Agricultural and Biological Sciences
Event World Top Scientist Awards
ORCID 0000-0001-7930-6704

The Best Researcher Award is a formal academic recognition acknowledging outstanding scholarly contributions and scientific productivity demonstrated by Jerina Rugji in the field of agricultural and food sciences. The award highlights sustained research output, interdisciplinary collaborations, and measurable scientific impact through peer-reviewed publications and applied innovations in food safety and functional nutrition systems. This recognition is associated with the World Top Scientist Awards, an international platform designed to identify and promote high-performing researchers across disciplines [1].

Abstract

This article presents a structured academic overview of Jerina Rugji’s scholarly contributions, focusing on her eligibility and recognition for the Best Researcher Award. The profile reflects extensive research activities in food science, dairy technology, and microbiological safety systems supported by peer-reviewed publications and collaborative studies. Emphasis is placed on interdisciplinary approaches integrating artificial intelligence, food engineering, and applied microbiology. The evaluation incorporates measurable bibliometric indicators, including citation counts and h-index values, alongside qualitative research outcomes [2].

Keywords

Food Safety, Dairy Science, Functional Foods, Artificial Intelligence, Microbiology, Agricultural Sciences, Research Impact

Introduction

Academic recognition awards play a critical role in identifying scientific excellence and encouraging continued innovation across research domains. The Best Researcher Award represents a benchmark for evaluating sustained scholarly productivity and measurable contributions to global scientific knowledge. Jerina Rugji’s work exemplifies the integration of theoretical and applied research methodologies, particularly within agricultural and biological sciences. Her studies emphasize the importance of food safety systems, advanced processing technologies, and sustainable agricultural practices [3].

Research Profile

Jerina Rugji is an academic researcher affiliated with Burdur Mehmet Akif Ersoy University, with specialized expertise in food science and dairy technology. Her academic trajectory includes doctoral research focused on food safety and microbiological quality control, complemented by international research experience. Her Scopus profile indicates a consistent publication record and engagement in collaborative scientific networks. Her research themes include symbiotic food systems, pathogen control mechanisms, and emerging technologies in food processing [1].

Research Contributions

The research contributions of Jerina Rugji encompass experimental and analytical studies addressing food safety, microbial contamination, and functional food development. Her work integrates advanced methodologies such as machine learning, bioactive compound analysis, and dairy system optimization. Notable contributions include research on Listeria monocytogenes behavior in dairy matrices and innovative approaches to probiotic formulation. These contributions have practical implications for improving food quality and safety standards across global supply chains [4].

Publications

Jerina Rugji has contributed to numerous peer-reviewed journals, reflecting a strong commitment to advancing scientific knowledge. Her publications span topics such as AI-driven dairy systems, probiotic food development, and pathogen inactivation strategies. The inclusion of DOI-indexed research outputs ensures accessibility and validation of her scientific contributions. These publications demonstrate both depth and breadth in addressing contemporary challenges in food science and technology [5].

Research Impact

The research impact of Jerina Rugji is reflected in citation metrics, interdisciplinary collaborations, and contributions to applied scientific knowledge. Her work supports advancements in food safety regulations, nutritional innovation, and sustainable agricultural practices. The integration of emerging technologies, including artificial intelligence, highlights the forward-looking nature of her research. These contributions collectively enhance her academic visibility and influence within the global scientific community [2].

Award Suitability

The eligibility of Jerina Rugji for the Best Researcher Award is supported by her consistent academic output, innovative research methodologies, and measurable scientific impact. Her contributions align with the evaluation criteria of international research recognition platforms, emphasizing originality, relevance, and applicability. The combination of quantitative metrics and qualitative research achievements strengthens her candidacy. Such recognition underscores her role in advancing knowledge within agricultural and biological sciences [3].

Conclusion

The Best Researcher Award recognition for Jerina Rugji reflects a comprehensive evaluation of her academic achievements and contributions to scientific advancement. Her research demonstrates a balance between theoretical innovation and practical application, particularly in food science and safety systems. Continued engagement in interdisciplinary research is expected to further enhance her impact. This recognition serves as both acknowledgment and motivation for ongoing scientific exploration [4].

References

  1. Elsevier. Scopus author details: Jerina Rugji.
    https://www.scopus.com
  2. Rugji, J. (2026). AI-Enabled Next-Generation Dairy Systems.
    https://doi.org/10.1002/fsn3.71953
  3. Rugji, J. (2026). Spray Drying Impact Study.
    https://doi.org/10.3168/jds.2025-27557
  4. Rugji, J. (2025). Food Matrix and Pathogen Study.
    https://doi.org/10.31797/vetbio.1679354
  5. Rugji, J. (2025). AI in Food Safety Review.
    https://doi.org/10.1080/10408398.2024.2430749

Haichao Xie | Earth and Planetary Sciences | Best Researcher Award

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Best Researcher Award

Haichao Xie – Chinese Academy of Sciences

Haichao Xie
Affiliation Chinese Academy of Sciences
Country China
Scopus ID 57189890804
Documents 684
Citations 873
h-index 13
Subject Area Earth and Planetary Sciences
Event World Top Scientist Awards
ORCID 0000-0002-3035-4526

Haichao Xie is a researcher affiliated with the Chinese Academy of Sciences, recognized for contributions in Earth and Planetary Sciences. His research spans paleoclimate reconstruction, sedimentology, and environmental change across Central Asia and the Tibetan Plateau. His academic output demonstrates interdisciplinary integration of geochemistry, climatology, and geological analysis, contributing to broader scientific understanding of climate variability [1].

Abstract

This article presents an overview of Haichao Xie’s academic contributions and recognition within the context of the Best Researcher Award. His work primarily focuses on reconstructing paleoclimatic conditions using sedimentary and geochemical proxies. These studies contribute to understanding long-term climate variability and its regional implications in Central Asia [2].

Keywords

  • Paleoclimate
  • Sedimentology
  • Central Asia
  • Geochemistry

Introduction

The study of Earth and Planetary Sciences has increasingly emphasized paleoclimate reconstruction using multidisciplinary approaches. Haichao Xie has contributed to this domain through detailed analyses of loess-paleosol sequences and sedimentary records. His work provides insights into climatic shifts across geological timescales and supports improved climate modeling frameworks [3].

Research Profile

Haichao Xie is affiliated with the Institute of Tibetan Plateau Research under the Chinese Academy of Sciences. His scholarly output includes numerous journal articles, preprints, and collaborative works across international teams. His ORCID profile confirms active participation in ongoing climate research projects and interdisciplinary scientific studies [1].

Research Contributions

Xie’s contributions include reconstruction of hydroclimate variability, analysis of microbial lipid proxies, and interpretation of sediment records. His studies in lake sediments and loess sequences have improved understanding of regional climate forcing mechanisms. These findings are particularly relevant to Central Asian environmental history and climate resilience studies [4].

Publications

His publications span high-impact journals including Quaternary Science Reviews and Palaeogeography, Palaeoclimatology, Palaeoecology. The studies address paleoclimate indicators such as GDGTs, lake sediment records, and isotopic compositions. These works collectively contribute to a comprehensive understanding of climate evolution over millennia [5].

Research Impact

With over 800 citations and a steady publication record, Xie’s research has influenced ongoing scientific discussions in paleoclimate studies. His work is frequently referenced in climate modeling and environmental reconstruction studies. The interdisciplinary relevance of his research enhances its applicability in both academic and policy-related contexts.

Award Suitability

The Best Researcher Award recognizes excellence in scientific research and scholarly contributions. Haichao Xie’s consistent publication output, interdisciplinary approach, and global research collaborations align with the award criteria. His work demonstrates both depth and impact within Earth and Planetary Sciences.

Conclusion

Haichao Xie’s research reflects a strong commitment to advancing scientific understanding of paleoclimate systems. His contributions support ongoing research in environmental change and climate dynamics. Recognition through academic awards highlights the importance of his work within the global scientific community.

References

  1. Elsevier. (n.d.). Scopus author details: Haichao Xie, Author ID 57189890804. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57189890804
  2. Xie, H. (2025). Loess-paleosol sedimentological characteristics. DOI.
    https://doi.org/10.1016/j.quascirev.2025.109213
  3. Xie, H. (2023). BrGDGT distributions study. DOI.
    https://doi.org/10.1016/j.palaeo.2022.111358
  4. Xie, H. (2022). Climate-controlled tundra fires. DOI.
    https://doi.org/10.1016/j.quascirev.2022.107418
  5. Xie, H. (2021). Hydrodynamic intensity of Bosten Lake. DOI.
    https://doi.org/10.1016/j.palaeo.2021.110499

Niloy Kumar | Computer Science | Best Researcher Award

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Best Researcher Award

Niloy Kumar – Kent State University

Niloy Kumar
Affiliation Kent State University
Country United States
Documents 3
Citations 9
h-index 1
Subject Area Computer Science
Event World Top Scientist Awards
ORCID 0000-0001-6127-7570

The Best Researcher Award recognizes academic excellence and scholarly contributions demonstrated by Niloy Kumar in the field of computer science. His work reflects an interdisciplinary approach combining machine learning, data science, and applied computational techniques to address real-world challenges. The recognition is associated with the World Top Scientist Awards, which acknowledges emerging scholars with measurable research impact and academic promise [1].

Abstract

This article presents an overview of the academic contributions and recognition of Niloy Kumar, focusing on his receipt of the Best Researcher Award. The evaluation is based on measurable research metrics, publication quality, and interdisciplinary relevance. His work emphasizes machine learning applications in healthcare and intelligent systems, demonstrating strong methodological foundations. The recognition highlights emerging impact within a competitive academic environment [2].

Keywords

Machine Learning, Computer Science, Deep Learning, Healthcare Analytics, Academic Research, Scientific Recognition.

Introduction

The recognition of early-career researchers plays a crucial role in shaping academic innovation and scientific progress. Niloy Kumar represents a growing group of scholars applying computational techniques to multidisciplinary domains. His work integrates data-driven methodologies with real-world applications, particularly in health-related systems. Such contributions are increasingly valued within global research communities and award platforms [3].

Research Profile

Niloy Kumar is affiliated with Kent State University and actively contributes to the field of computer science. His academic profile includes a growing number of publications with measurable citation impact. His ORCID record indicates involvement in collaborative research spanning multiple institutions. The research scope reflects a balance between theoretical exploration and practical system development [1].

Research Contributions

The research contributions of Niloy Kumar primarily focus on machine learning and deep learning applications. His work in neurological disease analysis demonstrates the integration of AI in medical diagnostics. Additionally, he has contributed to real-time classification systems, improving computational efficiency and accuracy. These contributions illustrate the adaptability of modern computational frameworks across domains [2].

Publications

This research introduces a real-time junk food recognition system based on machine learning algorithms. It focuses on image classification techniques to identify food categories with high accuracy. The system is designed for real-time deployment using efficient computational models. The study contributes to health-aware AI applications and dietary monitoring systems. [2].

Research Impact

The research impact of Niloy Kumar is reflected through citation metrics and collaborative outputs. His contributions demonstrate early-stage influence within the scientific community. The application of machine learning in healthcare domains highlights the societal relevance of his work. These indicators support his recognition as a promising researcher in computer science [2].

Award Suitability

The Best Researcher Award considers academic productivity, innovation, and measurable impact. Niloy Kumar meets these criteria through consistent publication output and interdisciplinary engagement. His work demonstrates both technical rigor and application-oriented relevance. These attributes align with the selection standards of global scientific recognition platforms [3].

Conclusion

Niloy Kumar represents an emerging academic voice within computer science research. His contributions highlight the role of machine learning in solving complex interdisciplinary challenges. Recognition through the Best Researcher Award underscores his potential for future impact. Continued research engagement is expected to strengthen his academic profile and global visibility.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Niloy Kumar.https://orcid.org/0000-0001-6127-7570
  2. Kumar, N. et al. (2026). Machine learning and deep learning for neurological disease analysis.https://doi.org/10.1016/j.neuroscience.2026.05.036
  3. Kumar, N. et al. (2022). Book chapter contribution.https://doi.org/10.1007/978-3-031-17181-9_8

Huan Zhang | Econometrics and Finance | Best Researcher Award

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Ms. Huan Zhang | Econometrics and Finance | Best Researcher Award

Associate Professor | Guangdong Ocean University | China

Ms. Huan Zhang is an accomplished associate professor specializing in tourism, cultural creativity, and communication studies. She has a strong academic background, holding advanced degrees in economics and labor studies, and is completing her doctoral studies in tourism and hospitality management. Over her career, she has led multiple research projects at national, provincial, and university levels, demonstrating leadership and an ability to translate research into practical impact. Her work has been recognized both academically and publicly, with reports adopted by local authorities and online courses featured on national platforms. She has published a monograph and several papers in SSCI, CSSCI, and core journals, reflecting a consistent research trajectory. Ms. Zhang also excels in mentoring students, guiding them to achieve national and provincial awards. According to Scopus, her measurable research impact includes 3 documents, 3 citations, and an h-index of 1, showcasing her growing influence in her field, with total citations at 33.

Profiles: Scopus | ORCID

Featured Publications

1. Mei, D., & Zhang, H. (2025). Impact of global tensions on commodity futures from a geopolitical risk perspective. Finance Research Letters. https://doi.org/10.1016/j.frl.2025.108605

2. Khalil, M. L., Abd Aziz, N., Long, F., & Zhang, H. (2023). What factors affect firm performance in the hotel industry post-Covid-19 pandemic? Examining the impacts of big data analytics capability, organizational agility and innovation. Journal of Open Innovation: Technology, Market, and Complexity. https://doi.org/10.1016/j.joitmc.2023.100081

Liana Mogilnikova | Materials Science | Best Researcher Award

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Mrs. Liana Mogilnikova | Materials Science | Best Researcher Award

Liana Mogilnikova  | MISIS | Russia

Mrs. Liana Mogilnikova is a dedicated and accomplished researcher specializing in the study of hexagonal ferrites and magnetically hard materials. Her research focuses on understanding phase transformations and crystal structures, contributing valuable insights into the synthesis and characterization of strontium hexaferrite. Through meticulous experimentation and analytical precision, she has developed a comprehensive methodology for investigating the structural and phase states of ferrite materials. Her scholarly contributions, reflected in publications in reputed journals, demonstrate her commitment to advancing material science and magnetic materials research. With strong skills in data analysis, academic writing, and conference presentation, she effectively communicates complex scientific findings to the research community. Her work not only deepens the understanding of ferrite synthesis mechanisms but also lays the foundation for future innovations in nanostructured and energy-efficient magnetic materials, establishing her as a promising and impactful researcher in her field.

Profiles: Scopus | ORCID

Featured Publications

1. Mogilnikova, L. D., Menushenkov, V. P., Mogilnikov, P. S., & Savchenko, A. G. (2025). Phase transformations in the synthesis process of strontium hexaferrite SrFe₁₂O₁₉ by the sol-gel method. Journal of Alloys and Compounds, 1042, 183995.

Qian Qiao | Materials Science | Best Researcher Award 

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Dr. Qian Qiao | Materials Science | Best Researcher Award 

R&D Manager | IDQ Science and Technology (Hengqin Guangdong) Co | China

Dr. Qian Qiao is a dedicated researcher specializing in electromechanical and mechanical engineering, with extensive experience in materials science, surface technology, and smart manufacturing. She has authored numerous papers in reputable international journals and holds multiple patents that highlight her innovative approach to engineering challenges. Her academic achievements, including several prestigious scholarships and awards, reflect consistent excellence and commitment to research advancement. Dr. Qian has actively participated in global academic conferences, contributing to the dissemination and exchange of cutting-edge knowledge. Her current research focuses on the structural and performance analysis of advanced manufacturing components, integrating intelligent systems and automation to enhance efficiency and reliability. With a strong foundation in both theoretical and applied research, she demonstrates outstanding potential for leading future developments in material innovation, corrosion science, and intelligent engineering solutions, contributing meaningfully to technological progress and industrial transformation.

Profiles: Google Scholar | Scopus | ORCID 

Featured Publications

1. Qiao, Q., Qian, H., Li, Z., Guo, D., Kwok, C. T., Jiang, S., Zhang, D., & Tam, L. M. (2025). Microstructure evolution and mechanical performance of AA6061-7075 heterogeneous composite fabricated via additive friction stir deposition. Alloys, 4(4), 21.

2. Lam, W. I., Leong, K. K., Tam, C. W., Qiao, Q., Lin, Y., Yang, G., Guo, D., & Kwok, C. T. (2025). A high performance mechanically alloyed stainless steel composite coating via friction surfacing. Surface and Coatings Technology, 132685.

3. Qiao, Q., Gong, X., Guo, D., Qian, H., Li, Z., Zhang, D., Kwok, C., & Tam, L. M. (2025). Influence of tool head geometry on in situ monitoring of temperature, force, and torque during additive friction deposition of aluminum alloy 2219. Materials Science in Additive Manufacturing, 4(4), 025280060.

4. Qiao, Q., Tam, C. W., Lam, W. I., Wang, K., Guo, D., Kwok, C. T., Lin, Y., Yang, G., & Zhang, D. (2025). Hybrid heat-source solid-state additive manufacturing: A method to fabricate high performance AA6061 deposition. Journal of Materials Science & Technology, 228, 107–124.

5. Wu, Z., Qian, H., Chang, W., Zhu, Z., Lin, Y., Qiao, Q., Guo, D., Zhang, D., & Kwok, C. T. (2025). Enhanced corrosion resistance by Pseudomonas aeruginosa on 2219 aluminum alloy manufactured through additive friction stir deposition. Acta Metallurgica Sinica (English Letters), 1–18.

Dongfeng Qi | Engineering | Best Researcher Award

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Prof. Dongfeng Qi | Engineering | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Dongfeng Qi is a leading researcher in laser manufacturing and material processing, specializing in femtosecond and nanosecond laser applications for advanced materials and flexible electronics. His work integrates theoretical modeling with experimental techniques to develop innovative micro- and nanostructures, including copper and silicon-based materials, phase-change films, and smart electronic devices. Prof. Qi has made substantial contributions to understanding laser-material interactions and patterning technologies, with high-impact publications in top-tier journals. He demonstrates strong interdisciplinary collaboration and mentorship, fostering international research partnerships and the growth of emerging scientists. His research is recognized for both fundamental insights and practical applications in photonics, energy storage, and flexible electronics. Prof. Qi’s consistent innovation, high-quality experimental work, and leadership in the field establish him as a leading figure in laser-based materials science. According to Scopus, he has 535 citations, 71 documents, and an h-index of 13.

Profiles: Scopus | Google Scholar

Featured Publications

1. Programming nanoparticles in multiscale: optically modulated assembly and phase switching of silicon nanoparticle array; L. Wang, Y. Rho, W. Shou, S. Hong, K. Kato, M. Eliceiri, M. Shi, …; ACS Nano, vol. 12, no. 3, pp. 2231–2241, 2018; 39 citations

2. Time-resolved analysis of thickness-dependent dewetting and ablation of silver films upon nanosecond laser irradiation; D. Qi, D. Paeng, J. Yeo, E. Kim, L. Wang, S. Chen, C. P. Grigoropoulos; Applied Physics Letters, vol. 108, no. 21, 2016; 37 citations

3. Femtosecond laser-induced large area of periodic structures on chalcogenide glass via twice laser direct-writing scanning process; X. Yu, Q. Zhang, D. Qi, S. Tang, S. Dai, P. Zhang, Y. Xu, X. Shen; Optics & Laser Technology, vol. 124, 105977, 2020; 34 citations

4. Progress in the design, nanofabrication, and performance of metalenses; Z. Wang, Y. Wu, D. Qi, W. Yu, H. Zheng; Journal of Optics, vol. 24, no. 3, 033001, 2022; 31 citations

5. Progress in preparation and applications of Te-As-Se chalcogenide glasses and fibers; Z. Wu, Y. Xu, D. Qi, Q. Nie, X. Zhang; Infrared Physics & Technology, vol. 102, 102981, 2019; 31 citations

Geng-Long Hsu | Medicine and Dentistry | Best Researcher Award

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Prof. Dr. Geng-Long Hsu | Medicine and Dentistry | Best Researcher Award

Director | Hsu’s Andrology | Taiwan

Prof. Dr. Geng-Long Hsu is a distinguished urologist and microsurgical potency reconstruction specialist with decades of experience in clinical practice, research, and education. He has pioneered innovative surgical techniques and contributed significant anatomical and physiological insights in male reproductive medicine. His leadership in multiple research centers and academic institutions has fostered a strong culture of mentorship and collaboration. Dr. Hsu is recognized internationally through memberships in professional societies and numerous awards for both basic and clinical research, highlighting the global impact of his work. His research demonstrates a consistent focus on advancing urological science, integrating clinical expertise with experimental innovation. Through his contributions, he has influenced treatment protocols and surgical outcomes in male reproductive health. His measurable research impact is reflected in Scopus, with 1,521 citations across 68 documents and an h-index of 22, underscoring the significance and reach of his scholarly work.

Profiles: Scopus | ORCID

Featured Publications

1. G.-L. Hsu, “Combining erection restoration and factual penile enhancement based on revolutionary penile fibro-vascular assembly,” Archivos Espanoles De Urologia, 2025.

2. G.-L. Hsu, “A detailed analysis of the penile fibro-vascular assembly,” Journal of Sexual Medicine, 2025.

3. G.-L. Hsu, “Coil embolization is not justified for treating patients with veno-occlusive dysfunction: Case series and narrative literature review,” Life, 2024.

4. G.-L. Hsu, “Emergent penile venous stripping for treating adolescent impotence,” Life, 2024.

5. G.-L. Hsu, “A case report of right cardiac ventricle perforation by uncontrolled embolization coil inserted for treating penile veno-occlusive dysfunction,” Urology Case Reports, 2022.

Panagiota Koutsimani | Neuropsychology | Best Researcher Award

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Dr. Panagiota Koutsimani | Neuropsychology | Best Researcher Award

Adjunt Lecturer | University of Western Macedonia | Greece

Dr. Panagiota Koutsimani is a cognitive neuropsychologist specializing in burnout, cognitive functioning, and mental health. She holds a PhD in Cognitive Psychology from the University of Macedonia and is currently a postdoctoral researcher at Aristotle University of Thessaloniki. Her research has significantly contributed to understanding the relationships between burnout, depression, and anxiety, notably through her widely cited meta-analysis published in Frontiers in Psychology. She has also investigated cognitive performance in non-clinical burnout populations, highlighting the role of family support as a protective factor. Her work employs rigorous methodologies, including longitudinal studies and meta-analyses, reflecting a strong commitment to advancing psychological research. In addition to her research, Dr. Koutsimani has extensive teaching and dissertation supervision experience, mentoring emerging researchers in both cognitive and neuropsychology fields. According to her Google Scholar profile, total citations 1903, since 2020 citations 1854, h-index 8, i10-index 7.

Profile: Scopus | Google Scholar

Featured Publications

1. P. Koutsimani, A. Montgomery, and K. Georganta, “The relationship between burnout, depression, and anxiety: A systematic review and meta-analysis,” Frontiers in Psychology, vol. 10, p. 429219, 2019.

2. A. Kariou, P. Koutsimani, A. Montgomery, and O. Lainidi, “Emotional labor and burnout among teachers: A systematic review,” International Journal of Environmental Research and Public Health, vol. 18, no. 23, p. 12760, 2021.

3. P. Koutsimani, A. Montgomery, E. Masoura, and E. Panagopoulou, “Burnout and cognitive performance,” International Journal of Environmental Research and Public Health, vol. 18, no. 4, p. 2145, 2021.

4. P. Koutsimani, A. Montgomery, and K. Georganta, “The relationship between burnout, depression, and anxiety: A systematic review and meta-analysis,” Frontiers in Psychology, vol. 10, p. 284, 2019.

5. P. Koutsimani and A. Montgomery, “A two-wave study on the associations of burnout with depression and anxiety: The mediating and moderating role of perceived family support,” Psychological Reports, vol. 126, no. 1, pp. 220–245, 2023.

Amir Maharjan | Wildlife Conservation | Best Researcher Award

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Mr. Amir Maharjan | Wildlife Conservation | Best Researcher Award

Amir Maharjan | University of Southern Queensland | Australia

Mr. Amir Maharjan is an accomplished researcher in wildlife conservation and forestry, with extensive experience in national parks and biodiversity management. His research focuses on tiger ecology, prey dynamics, human-wildlife conflict, and adaptive conservation strategies, reflecting a strong blend of applied and theoretical expertise. He has actively contributed to international conferences and policy platforms, including the Convention on Biological Diversity and IPBES, demonstrating recognition of his work at both national and global levels. In addition to field research, he has supervised undergraduate theses and mentored students, emphasizing capacity-building in forestry and wildlife science. His work integrates ecological monitoring, habitat suitability mapping, and conservation policy, bridging research and practical applications. According to Scopus, his research output includes 3 documents with 11 citations and an h-index of 3, showcasing measurable research impact. Citations by 11 documents.

Profile: Scopus

Featured Publications

1. A. Maharjan, “Assessing the Spatio-temporal Activity Pattern and Habitat Use of Bengal Tiger (Panthera tigris tigris) Across Three Forest Management Regimes in Nepal,” Biodiversity and Conservation, 2025.