Vikash Gupta
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Mutlu Demirer (10 shared papers)Barbaros S. Erdal (11 shared papers)Luciano M. Prevedello (6 shared papers)Richard D. White (7 shared papers)Joseph S. Yu (3 shared papers)Girish Narayan (1 shared paper)Paul M. Thompson (3 shared papers)Pravin C. Singhal (1 shared paper)
- Journals
- Radiology Artificial Intelligence (1 paper)Journal of Digital Imaging (1 paper)The American Journal of the Medical Sciences (1 paper)Clinical Radiology (1 paper)Journal of NeuroInterventional Surgery (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Vikash Gupta
24 papers receiving 259 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 52
- Radiology, Nuclear Medicine and Imaging 108
- Rehabilitation 29
- Internal Medicine 11
- Virology 11
Countries citing papers authored by Vikash Gupta
This map shows the geographic impact of Vikash Gupta'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 Vikash Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Gupta more than expected).
Fields of papers citing papers by Vikash Gupta
This network shows the impact of papers produced by Vikash Gupta. 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 Vikash Gupta. The network helps show where Vikash Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash Gupta, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 1983 | 41 | |
| 3 | 2019 | 24 | |
| 4 | 2018 | 22 | |
| 5 | 2011 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2017 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2012 | 7 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2016 | 1 |
About Vikash Gupta
Vikash Gupta is a scholar working on Computational Mathematics, Health Informatics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, having authored 28 papers that have together received 265 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (3 papers), Acute Ischemic Stroke Management (3 papers), Advanced X-ray and CT Imaging (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Health Informatics (52 citations), Radiology, Nuclear Medicine and Imaging (108 citations), Rehabilitation (29 citations), Internal Medicine (11 citations) and Virology (11 citations). Vikash Gupta has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Mutlu Demirer, Barbaros S. Erdal, Luciano M. Prevedello, Richard D. White, Joseph S. Yu, Girish Narayan, Paul M. Thompson, Pravin C. Singhal, K. S. Chugh and B N Datta. Their work appears in journals such as Radiology Artificial Intelligence, Journal of Digital Imaging, The American Journal of the Medical Sciences, Clinical Radiology and Journal of NeuroInterventional 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.