Vikash Gupta
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
-
- Digital Radiography and Breast Imaging 3
- Co-authors
- Paul M. Thompson (4 shared papers)Faisal Rashid (3 shared papers)Sophia I. Thomopoulos (2 shared papers)Barbaros S. Erdal (13 shared papers)Mutlu Demirer (11 shared papers)Luciano M. Prevedello (7 shared papers)Richard D. White (8 shared papers)Joseph S. Yu (3 shared papers)
- Journals
- Journal of Computer Assisted Tomography (1 paper)Clinical Radiology (1 paper)Journal of Digital Imaging (1 paper)Radiology Artificial Intelligence (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Vikash Gupta
28 papers receiving 319 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 53
- Computational Mathematics 5
- Radiology, Nuclear Medicine and Imaging 144
- Rehabilitation 22
- Nephrology 19
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | 1983 | 43 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 27 | |
| 5 | 2018 | 26 | |
| 6 | 2011 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2017 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2012 | 8 | |
| 13 | 2013 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2008 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2022 | 2 |
About Vikash Gupta
Vikash Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and Epidemiology, having authored 32 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), AI in cancer detection (4 papers), Advanced X-ray and CT Imaging (3 papers), Digital Radiography and Breast Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Health Informatics (53 citations), Computational Mathematics (5 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Rehabilitation (22 citations) and Nephrology (19 citations). Vikash Gupta has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Paul M. Thompson, Faisal Rashid, Sophia I. Thomopoulos, Barbaros S. Erdal, Mutlu Demirer, Luciano M. Prevedello, Richard D. White, Joseph S. Yu, Thomas O’Donnell and B N Datta. Their work appears in journals such as Journal of Computer Assisted Tomography, Clinical Radiology, Journal of Digital Imaging, Radiology Artificial Intelligence and PLoS ONE.
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.