Vijay S. Kumar
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Semantic Web and Ontologies 3
- Computational Physics and Python Applications 2
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- Distributed and Parallel Computing Systems 3
- Co-authors
- V. Kumaran (2 shared papers)Madhav Marathe (4 shared papers)Maleq Khan (3 shared papers)Kareem S. Aggour (11 shared papers)Bryan Lewis (1 shared paper)Christopher L. Barrett (1 shared paper)Richard J. Beckman (1 shared paper)Paul Cuddihy (6 shared papers)
- Journals
- Integrating materials and manufacturing innovation (2 papers)IEEE Open Access Journal of Power and Energy (1 paper)The Journal of Chemical Physics (1 paper)Optik (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Vijay S. Kumar
21 papers receiving 362 citations
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 88
- Modeling and Simulation 28
- Computer Vision and Pattern Recognition 69
- Transportation 19
- Artificial Intelligence 85
Countries citing papers authored by Vijay S. Kumar
This map shows the geographic impact of Vijay S. Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vijay S. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay S. Kumar more than expected).
Fields of papers citing papers by Vijay S. Kumar
This network shows the impact of papers produced by Vijay S. Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vijay S. Kumar. The network helps show where Vijay S. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vijay S. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 92 | |
| 2 | 2005 | 86 | |
| 3 | 2012 | 46 | |
| 4 | 2010 | 33 | |
| 5 | 2017 | 27 | |
| 6 | 2019 | 17 | |
| 7 | 2006 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2005 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2007 | 4 | |
| 15 | 2021 | 4 | |
| 16 | RH-5992--an ecdysone agonist on model system of the silkworm Bombyx mori. | 2000 | 4 |
| 17 | 2015 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2008 | 3 |
About Vijay S. Kumar
Vijay S. Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Materials Chemistry, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 21 papers that have together received 375 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Graph Theory and Algorithms (3 papers), Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Computational Physics and Python Applications (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (88 citations), Modeling and Simulation (28 citations), Computer Vision and Pattern Recognition (69 citations), Transportation (19 citations) and Artificial Intelligence (85 citations). Vijay S. Kumar has collaborated with scholars based in United States and India. Frequent co-authors include V. Kumaran, Madhav Marathe, Maleq Khan, Kareem S. Aggour, Bryan Lewis, Christopher L. Barrett, Richard J. Beckman, Paul Cuddihy, Ali R. Butt and Guanying Wang. Their work appears in journals such as Integrating materials and manufacturing innovation, IEEE Open Access Journal of Power and Energy, The Journal of Chemical Physics, Optik and Proceedings of the VLDB Endowment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.