Sachin Somra | Research Excellence Award | Graph Theory

Published on by Network Science

Research Excellence Award

Sachin Somra
RV University, Bengaluru, India

Sachin Somra
Affiliation RV University, Bengaluru
Country India
Scholar ID j95EIb8AAAAJ&hl
Documents 6
Citations 2
h-index 1
Subject Area Graph Theory
Event International Research Awards on Network Science & Graph Analytics

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.

References

  1. Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45(2), 167–256.
    https://doi.org/10.1137/S003614450342480
  2. Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442.
    https://doi.org/10.1038/30918
  3. 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
  4. Google Scholar. (n.d.). Scholar profile for Sachin Somra, profile identifier j95EIb8AAAAJ.
    https://scholar.google.com/citations?user=j95EIb8AAAAJ&hl=en
  5. International Research Awards on Network Science & Graph Analytics. (n.d.). Award Website.
    https://networkscience-conferences.researchw.com/

Karthick V | Best Research Award | Graph Theory Applications Quantum Computing

Published on by Network Science

Best Research Award

Karthick V
AMET University, India,

Karthick V
Affiliation AMET University
Country India
Scopus ID 60046171600
Documents 3
Citations 1
h-index 1
Subject Area Graph Theory Applications Quantum Computing
Event International Research Awards on Network Science & Graph Analytics

Karthick’s academic profile combines graph-theoretical methods with interests in quantum computing. Graph theory provides mathematical frameworks for representing relationships and complex structures, while quantum computing introduces computational models based on quantum-mechanical principles. The intersection of these areas represents an emerging field of research with potential relevance to algorithms, optimization, networks and information processing. [1]

Abstract

Karthick, affiliated with AMET University, India, is identified with research interests in graph theory applications and quantum computing. His documented Scopus profile contains three documents under Author ID 60046171600. The combination of graph-theoretical reasoning and quantum computational concepts provides an interdisciplinary basis for investigating mathematical structures, computational models and emerging approaches to complex problem solving. [1] The available information supports consideration of his profile within an academic recognition framework focused on network science and graph analytics.

Keywords

  • Graph Theory
  • Quantum Computing
  • Network Science
  • Graph Analytics
  • Computational Mathematics

Introduction

Graph theory is an established mathematical discipline concerned with vertices, edges and the relationships represented between them. Its applications extend across computer science, engineering, communication networks, optimization and data analysis. Quantum computing, meanwhile, studies computational approaches that use quantum states and operations to address classes of problems that may be difficult for conventional computing systems. Research connecting graph structures with quantum computational methods is consequently relevant to contemporary theoretical and applied computing. [2]

Research Profile

Karthick’s supplied academic profile identifies AMET University as his institutional affiliation and India as his country. His stated subject area is graph theory application and quantum computing. The available bibliographic information records three documents in Scopus under Author ID 60046171600. Citation and h-index values were not supplied and are therefore not interpreted in this article. [1]

Research Contributions

The principal research direction associated with Karthick is the application of graph theory within computational contexts, together with an interest in quantum computing. Such an interdisciplinary direction can involve the representation of computational problems as graph structures, analysis of graph properties, and investigation of algorithms or models influenced by quantum computation. Graph-based approaches are also relevant to network representation and optimization, areas closely related to modern network science. [2]

Publications

The supplied profile indicates three documents associated with Scopus Author ID 60046171600. Specific publication titles, journals, publication years and DOI identifiers were not provided. Accordingly, individual publications are not attributed here without bibliographic verification. A complete publication assessment should use the researcher’s verified institutional record and authoritative bibliographic databases. [1]

Research Impact

Research combining graph theory and quantum computing is positioned within an expanding interdisciplinary landscape involving mathematical modelling, algorithms, optimization and information processing. The academic significance of an individual researcher in this area is best assessed through verified publications, citations, peer-reviewed contributions, collaborations and demonstrable applications. Because citation and h-index information for Karthick was not supplied, this article does not assign quantitative impact beyond the stated publication record.

Award Suitability

Based on the supplied information, Karthick’s research interests in graph theory applications and quantum computing are thematically aligned with the International Research Awards on Network Science & Graph Analytics. The profile presents an interdisciplinary research direction relevant to graph-based analysis and computational science. Final award evaluation should be based on the organizer’s eligibility requirements, independently verified academic records, publication quality, research originality and documented impact.

Conclusion

Karthick’s profile at AMET University reflects an academic interest in graph theory applications and quantum computing. With three documents listed under the supplied Scopus Author ID, the available record provides an initial basis for examining his research activity. Further bibliographic and citation verification would be appropriate for a comprehensive assessment of publication impact and scholarly contribution. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Karthick, Author ID 60046171600. Scopus.https://www.scopus.com/authid/detail.uri?authorId=60046171600
  2. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.https://doi.org/10.1017/CBO9780511976667