Research Excellence Award
Sachin Somra
RV University, Bengaluru, India
Sachin Somra is a researcher affiliated with RV University, Bengaluru, whose stated academic subject area is Graph Theory. The available scholarly profile indicates six documented research outputs, two citations, and an h-index of 1. His research profile is considered in the context of graph-theoretical methods and their relevance to contemporary network science and graph analytics.
Abstract
This academic recognition profile presents Sachin Somra, affiliated with RV University, Bengaluru, with Graph Theory identified as the principal subject area. The available scholarly information records six documents, two citations, and an h-index of 1. The profile is situated within the broader development of graph theory and network science, disciplines that provide mathematical frameworks for examining relationships, connectivity, structure, and complex systems. [1]
Keywords
Sachin Somra, Graph Theory, Network Science, Graph Analytics, Mathematical Networks, Network Analysis, Research Excellence, RV University, Bengaluru, India.
Introduction
Graph Theory is a foundational area of discrete mathematics concerned with vertices, edges, connectivity, paths, cycles, and structural relationships. Its concepts have become important across computer science, mathematics, engineering, social science, biological systems, and network analysis. Modern network science extends graph-theoretical ideas to the study of large and complex systems, including their structural organization and dynamics. [1] Network structures may also exhibit properties such as clustering, heterogeneous connectivity, and small-world behavior, which have been widely examined in interdisciplinary research. [2]
Research Profile
Sachin Somra is affiliated with RV University in Bengaluru, India. The supplied academic information identifies Graph Theory as the principal subject area and records six documents, two citations, and an h-index of 1. A Google Scholar identifier supplied for the profile is j95EIb8AAAAJ&hl. These indicators provide a concise bibliometric snapshot rather than a complete measure of research quality or broader academic contribution.
- Primary subject area: Graph Theory.
- Institutional affiliation: RV University, Bengaluru.
- Document count supplied: 6.
- Citation count supplied: 2.
- h-index supplied: 1.
Research Contributions
Within the supplied information, Somra’s research identity is associated with Graph Theory and its relationship to network-oriented analysis. Graph-theoretical research can support formal representations of complex relationships and provide methods for evaluating structural properties of networks. [1] The field also supports interdisciplinary approaches in which mathematical structures are applied to real-world systems, including technological, biological, social, and information networks.
The available record does not provide sufficient bibliographic detail to attribute specific individual discoveries, datasets, algorithms, or theoretical results to Somra. Accordingly, this profile limits its assessment to the documented research area and supplied bibliometric information.
Publications
The supplied profile records six documents associated with the researcher. Specific publication titles, journals, publication years, co-authors, and DOI identifiers were not provided in the source information. For academic accuracy, individual publications should be verified against the researcher’s official scholarly profile or institutional record before being cited as evidence of specific research findings.
Research Impact
The supplied bibliometric record indicates two citations and an h-index of 1 across six documented documents. Bibliometric indicators can help describe scholarly visibility, but they should be interpreted alongside publication quality, originality, methodological contribution, collaboration, practical relevance, and influence within the research community. Network science itself has developed as an interdisciplinary field in which graph-based approaches are used to understand complex systems and their relationships. [1]
Award Suitability
For the Research Excellence Award associated with the International Research Awards on Network Science & Graph Analytics, Somra’s stated specialization in Graph Theory provides a relevant disciplinary connection. The available record demonstrates documented scholarly activity and an identifiable research focus. Final award suitability should be determined through the event’s formal evaluation process, including verification of publications, research originality, methodological contribution, academic impact, and supporting documentation.
- Alignment with the award’s broad network science and graph analytics theme.
- Documented academic affiliation with RV University.
- Recorded scholarly documents and citation activity.
- A research profile centered on Graph Theory.
Conclusion
Sachin Somra’s supplied academic profile identifies Graph Theory as a principal research area and records scholarly activity associated with RV University, Bengaluru. With six documents, two citations, and an h-index of 1 in the supplied record, the profile provides an emerging bibliometric footprint. Further evaluation of research excellence should incorporate verified publications, originality, scholarly significance, and broader academic or practical contributions.
External Links
References
- Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45(2), 167–256.
https://doi.org/10.1137/S003614450342480
- Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442.
https://doi.org/10.1038/30918
- Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.
https://doi.org/10.1126/science.286.5439.509
- Google Scholar. (n.d.). Scholar profile for Sachin Somra, profile identifier j95EIb8AAAAJ.
https://scholar.google.com/citations?user=j95EIb8AAAAJ&hl=en
- International Research Awards on Network Science & Graph Analytics. (n.d.). Award Website.
https://networkscience-conferences.researchw.com/