Vikas Kumar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 25
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- Ethics and Social Impacts of AI 3
- Co-authors
- Keun Woo Lee (26 shared papers)Shraddha Parate (17 shared papers)Ankur M. Teredesai (9 shared papers)Gihwan Lee (9 shared papers)Christopher P. Roche (6 shared papers)Swapandeep Singh Chimni (1 shared paper)Howard D Routman (5 shared papers)Mohd Danishuddin (6 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Pharmaceuticals (3 papers)Computers in Biology and Medicine (2 papers)Frontiers in Microbiology (2 papers)Journal of Shoulder and Elbow Surgery (2 papers)
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Vikas Kumar
66 papers receiving 990 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 63
- Computational Theory and Mathematics 275
- Surgery 187
- Health Information Management 35
- Infectious Diseases 66
Countries citing papers authored by Vikas Kumar
This map shows the geographic impact of Vikas 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 Vikas Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Kumar more than expected).
Fields of papers citing papers by Vikas Kumar
This network shows the impact of papers produced by Vikas 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 Vikas Kumar. The network helps show where Vikas Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2020 | 72 | |
| 3 | 2021 | 69 | |
| 4 | 2021 | 62 | |
| 5 | 2015 | 45 | |
| 6 | 2015 | 43 | |
| 7 | 2015 | 41 | |
| 8 | 2022 | 38 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2022 | 16 |
About Vikas Kumar
Vikas Kumar is a scholar working on Computational Theory and Mathematics, Safety Research, Surgery, Molecular Biology and Health Information Management, having authored 69 papers that have together received 1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Shoulder Injury and Treatment (6 papers), Ethics and Social Impacts of AI (3 papers), Reproductive Biology and Fertility (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Machine Learning in Healthcare (2 papers), Reproductive Physiology in Livestock (2 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Health Informatics (63 citations), Computational Theory and Mathematics (275 citations), Surgery (187 citations), Health Information Management (35 citations) and Infectious Diseases (66 citations). Vikas Kumar has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Keun Woo Lee, Shraddha Parate, Ankur M. Teredesai, Gihwan Lee, Christopher P. Roche, Swapandeep Singh Chimni, Howard D Routman, Mohd Danishuddin, Pierre-Henri Flurin and Ryan W. Simovitch. Their work appears in journals such as International Journal of Molecular Sciences, Pharmaceuticals, Computers in Biology and Medicine, Frontiers in Microbiology and Journal of Shoulder and Elbow Surgery.
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.