Best Researcher Award
Mr. Mohammad Nadeem Rahimi
Kurukshetra University, India
| Mr. Mohammad Nadeem Rahimi |
| Affiliation |
Kurukshetra University |
| Country |
India |
| Scopus ID |
60592866100 |
| Documents |
1 |
| Subject Area |
Data Mining |
| Event |
Global CSE Awards |
Mr. Mohammad Nadeem Rahimi is a researcher affiliated with Kurukshetra University, India, whose available Scopus author record identifies Data Mining as his subject area. The indexed profile currently reports one document, providing a concise bibliometric snapshot of his documented scholarly activity. [1][2][3]
Abstract
Mr. Mohammad Nadeem Rahimi is a researcher affiliated with Kurukshetra University, India, with a Scopus author profile identifying Data Mining as his subject area. The currently available record lists one document .These bibliometric indicators provide a limited snapshot of his indexed scholarly activity and should be interpreted alongside verified publications, institutional records, research quality, and future outputs. The profile offers a basis for recognition under the Best Researcher Award, while transparent evaluation remains important. Related literature demonstrates the importance of data-driven analysis in renewable energy and environmental research, providing broader contextual relevance. [1][2][3]
Keywords
Data Mining;Bibliometrics; Research Profile; Scholarly Publications; Research Impact; Computational Research.
Introduction
Mr. Mohammad Nadeem Rahimi is a researcher affiliated with Kurukshetra University, India, whose Scopus-indexed profile identifies Data Mining as a subject area. His academic record currently lists one document . The profile provides a basis for documenting his research identity and scholarly development. [1][2][3]
Research Profile
Rahimi’s available Scopus author record identifies Kurukshetra University as his institutional affiliation and Data Mining as his subject area. The profile reports one indexed document.These indicators describe the currently visible bibliometric record rather than the complete scope of academic activity.[1][2][3]
Research Contributions
The available record provides limited evidence for assessing Rahimi’s research contributions directly. His listed subject area, Data Mining, places his profile within computational methods for extracting patterns and knowledge from data. Broader research themes should therefore be evaluated from verified publications, institutional records, and indexed scholarly outputs as additional evidence becomes available.[1][2][3]
Publications
The Scopus record currently associated with Rahimi lists one document, while the supplied scholarly references provide contextual literature concerning renewable-energy diffusion and carbon-dioxide emissions. These studies illustrate quantitative, data-oriented research themes relevant to contemporary analysis, although they should not be attributed to Rahimi without direct authorship verification. [1][2][3]
Research Impact
Rahimi’s present bibliometric profile records,indicating that measurable Scopus citation impact is currently limited. Such indicators can change as publications are indexed and cited. Consequently, research impact should be interpreted cautiously and supplemented with publication quality, collaboration, practical relevance, and subsequent scholarly recognition. [1][2][3]
Award Suitability
The Best Researcher Award may be considered in relation to Rahimi’s documented research identity, institutional affiliation, and subject-area classification in Data Mining. However, award suitability should be determined through transparent assessment of verified publications, originality, research quality, contributions, and broader scholarly evidence rather than relying solely on current citation indicators. [1][2][3]
Conclusion
Mr. Mohammad Nadeem Rahimi has a documented Scopus author profile associated with Kurukshetra University and Data Mining. The currently visible record contains one document.Continued publication and indexing may provide additional evidence for evaluating his research trajectory, influence, and future recognition.[1][2][3]
External Links
References
- Elsevier. (2026). Drivers of renewable energy diffusion in global economy: Long-run panel evidence. ScienceDirect.
https://www.sciencedirect.com/science/article/pii/S2666759226001344
- Springer Nature. (2026). Drivers of carbon dioxide emissions in Brazil, Russia, India, China, and South Africa: A panel vector auto-regression approach. Journal of Economic Structures.
https://link.springer.com/article/10.1007/s41685-026-00425-w
- Elsevier. (n.d.). Scopus author details: Mohammad Nadeem Rahimi, Author ID 60592866100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60592866100