Satvik Tripathi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Artificial Intelligence in Healthcare and Education 13
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- AI in cancer detection 6
- Topic Modeling 5
- Machine Learning in Healthcare 3
- Co-authors
- Tessa S. Cook (10 shared papers)Farouk Dako (5 shared papers)Dania Daye (6 shared papers)Ameena Elahi (3 shared papers)Pushpendra Kumar Tripathi (3 shared papers)Christopher P. Bridge (4 shared papers)Edward Kim (2 shared papers)Arian Mansur (1 shared paper)
- Journals
- Journal of the American College of Radiology (6 papers)Journal of the American Medical Informatics Association (2 papers)Radiology (1 paper)Academic Radiology (1 paper)European Journal of Radiology (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Satvik Tripathi
24 papers receiving 269 citations
Satvik Tripathi's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 92
- Radiology, Nuclear Medicine and Imaging 61
- Health Information Management 12
- Artificial Intelligence 90
- Family Practice 4
Countries citing papers authored by Satvik Tripathi
This map shows the geographic impact of Satvik Tripathi'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 Satvik Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satvik Tripathi more than expected).
Fields of papers citing papers by Satvik Tripathi
This network shows the impact of papers produced by Satvik Tripathi. 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 Satvik Tripathi. The network helps show where Satvik Tripathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Satvik Tripathi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care Hit paper breakdown → | 2024 | 64 |
| 2 | 2023 | 46 | |
| 3 | 2022 | 34 | |
| 4 | 2024 | 25 | |
| 5 | 2022 | 15 | |
| 6 | 2025 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2012 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Satvik Tripathi
Satvik Tripathi is a scholar working on Health Informatics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 29 papers that have together received 280 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (13 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Topic Modeling (5 papers), Machine Learning in Healthcare (3 papers), COVID-19 diagnosis using AI (3 papers), Advanced X-ray and CT Imaging (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (92 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Health Information Management (12 citations), Artificial Intelligence (90 citations) and Family Practice (4 citations). Satvik Tripathi has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Tessa S. Cook, Farouk Dako, Dania Daye, Ameena Elahi, Pushpendra Kumar Tripathi, Christopher P. Bridge, Edward Kim, Arian Mansur, Azadeh Tabari and Edward Kim. Their work appears in journals such as Journal of the American College of Radiology, Journal of the American Medical Informatics Association, Radiology, Academic Radiology and European Journal of Radiology.
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.