Virendra Kumar
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Scientific Computing and Data Management 3
- Co-authors
- V. KumaranMadhav MaratheMaleq KhanKareem S. AggourBryan LewisChristopher L. BarrettRichard J. BeckmanPaul Cuddihy
- Journals
- Integrating materials and manufacturing innovation (2 papers)Optik (1 paper)The Journal of Chemical Physics (1 paper)IEEE Open Access Journal of Power and Energy (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Virendra Kumar
21 papers receiving 355 citations
Peers
Comparison fields: 5 of 87
- Statistical and Nonlinear Physics 88
- Modeling and Simulation 31
- Computer Vision and Pattern Recognition 69
- Transportation 18
- Artificial Intelligence 84
Countries citing papers authored by Virendra Kumar
This map shows the geographic impact of Virendra 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 Virendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virendra Kumar more than expected).
Fields of papers citing papers by Virendra Kumar
This network shows the impact of papers produced by Virendra 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 Virendra Kumar. The network helps show where Virendra Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virendra 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 5 | |
| 8 | 2019 | 16 | |
| 9 | 2017 | 27 | |
| 10 | 2017 | 4 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2012 | 46 | |
| 14 | 2010 | 33 | |
| 15 | 2008 | 3 | |
| 16 | 2007 | 4 | |
| 17 | 2006 | 10 | |
| 18 | 2005 | 85 | |
| 19 | 2005 | 6 | |
| 20 | RH-5992--an ecdysone agonist on model system of the silkworm Bombyx mori. | 2000 | 4 |
About Virendra Kumar
Virendra Kumar is a scholar working on Information Systems and Management, Metals and Alloys, Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (3 papers), Complex Network Analysis Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Semantic Web and Ontologies (3 papers), Scientific Computing and Data Management (3 papers), Machine Learning in Materials Science (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (88 citations), Modeling and Simulation (31 citations), Computer Vision and Pattern Recognition (69 citations), Transportation (18 citations) and Artificial Intelligence (84 citations). Virendra 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, Guanying Wang and Ali R. Butt. Their work appears in journals such as Integrating materials and manufacturing innovation, Optik, The Journal of Chemical Physics, IEEE Open Access Journal of Power and Energy 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.