Best Researcher Award
Sourav Kumar Purohit
SRM University
Sourav Kumar Purohit is affiliated with SRM University, India, and has established a scholarly profile in the field of Computer Science. His indexed research contributions demonstrate sustained academic activity, interdisciplinary collaboration, and measurable citation impact. Based on the available bibliometric indicators, the researcher has published peer-reviewed scientific works indexed in Scopus while contributing to research areas involving computational methodologies and intelligent systems.[1]
Abstract
This article presents an academic overview of Sourav Kumar Purohit in relation to the Best Researcher Award. The profile summarizes institutional affiliation, publication performance, citation metrics, and scholarly impact within Computer Science. The available bibliometric indicators demonstrate active participation in peer-reviewed research and continued dissemination of scientific knowledge through internationally indexed publications.[1]
Keywords
Best Researcher Award; Sourav Kumar Purohit; SRM University; Computer Science; Artificial Intelligence; Machine Learning; Air Quality Prediction; Scopus Author; Citation Analysis; Research Excellence.
Introduction
Recognition through academic awards is commonly based upon sustained research productivity, publication quality, scholarly influence, and contributions to scientific advancement. Bibliometric indicators such as indexed publications, citation counts, and the h-index provide objective evidence supporting research evaluation. These measures complement qualitative assessments of innovation, collaboration, and scientific significance.[2]
Research Profile
- Researcher: Sourav Kumar Purohit
- Institution: SRM University
- Country: India
- Primary Subject Area: Computer Science
- Scopus Author ID: 57264226200
- Indexed Documents: 7
- Total Citations: 131
- h-index: 4
Research Contributions
The research portfolio reflects contributions to computational intelligence, predictive analytics, and data-driven modeling. Published work includes studies involving artificial intelligence, ensemble learning techniques, and environmental data analysis, demonstrating interdisciplinary application of computer science methodologies. The research contributes to scientific understanding while supporting technological innovation and evidence-based decision making.[3]
Publications
- Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning. Book Chapter.
- A Novel Series-Parallel Hybrid Method Employing Fusion of Deep Features for Air Quality Index Forecasting. Peer-reviewed research publication contributing to intelligent environmental prediction methodologies.
Research Impact
The available bibliometric indicators indicate measurable scholarly visibility with seven indexed publications, 131 citations, and an h-index of four. Citation performance suggests that the published research has been referenced by subsequent scholarly work, reflecting continuing academic relevance within the research community.[1]
Award Suitability
Based on the documented publication record, citation metrics, indexed research output, and contributions to Computer Science, Sourav Kumar Purohit demonstrates characteristics consistent with consideration for the Best Researcher Award. The profile reflects sustained scholarly engagement, peer-reviewed dissemination, interdisciplinary collaboration, and measurable research influence according to internationally recognized bibliometric indicators.[2]
Conclusion
The academic record presented illustrates continued contributions to Computer Science through peer-reviewed publications, citation impact, and interdisciplinary research activities. Objective research metrics and scholarly productivity collectively support recognition within academic award programs emphasizing excellence, innovation, and scientific contribution.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Sourav Kumar Purohit, Author ID 57264226200. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57264226200
- International Popular Scientist Awards. (n.d.). Best Researcher Award.
https://popularscientist.com/
- Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate Air Quality Index Prediction Using Variational Mode Decomposition and Stacked Ensemble Learning.
DOI: https://doi.org/10.1007/978-3-032-16830-6_16
- Pradhan, S. S., Dora, K. K., & Purohit, S. K. (2026). Accurate air quality index prediction using variational mode decomposition and stacked ensemble learning.