Sumit Das
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Natural Language Processing Techniques 1
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- Artificial Intelligence in Healthcare 4
- Co-authors
- Nabamita Banerjee Roy (1 shared paper)Aritra Dey (2 shared papers)Spenta R. Wadia (2 shared papers)Manas Kumar Sanyal (5 shared papers)Anupam Basu (2 shared papers)Sudeshna Sarkar (1 shared paper)Antal Jevicki (1 shared paper)Rajdeep Mukherjee (1 shared paper)
- Journals
- Clinical Neuropathology (1 paper)Indian Journal of Science and Technology (1 paper)Journal of High Energy Physics (1 paper)Modern Physics Letters A (2 papers)Biosciences Biotechnology Research Asia (3 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Sumit Das
21 papers receiving 277 citations
Peers
Comparison fields: 5 of 115
- Health Informatics 18
- Health Information Management 30
- Nuclear and High Energy Physics 66
- Statistical and Nonlinear Physics 40
- Astronomy and Astrophysics 39
Countries citing papers authored by Sumit Das
This map shows the geographic impact of Sumit Das'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 Sumit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Das more than expected).
Fields of papers citing papers by Sumit Das
This network shows the impact of papers produced by Sumit Das. 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 Sumit Das. The network helps show where Sumit Das may publish in the future.
Co-authors
The 17 scholars most cited alongside Sumit Das, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 1989 | 63 | |
| 3 | 2020 | 7 | |
| 4 | 2019 | 6 | |
| 5 | 1990 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2010 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 2 | |
| 15 | Achieving project success through leadership communication : A study on construction industry | 2020 | 2 |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Sumit Das
Sumit Das is a scholar working on Artificial Intelligence, Health Information Management, Information Systems, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 25 papers that have together received 299 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Spam and Phishing Detection (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Infrared Thermography in Medicine (2 papers), Cognitive Science and Education Research (1 paper), COVID-19 diagnosis using AI (1 paper), Natural Language Processing Techniques (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (30 citations), Nuclear and High Energy Physics (66 citations), Statistical and Nonlinear Physics (40 citations) and Astronomy and Astrophysics (39 citations). Sumit Das has collaborated with scholars based in India and United States. Frequent co-authors include Nabamita Banerjee Roy, Aritra Dey, Spenta R. Wadia, Manas Kumar Sanyal, Anupam Basu, Sudeshna Sarkar, Antal Jevicki, Rajdeep Mukherjee, Tanusree Das and Avinash Dhar. Their work appears in journals such as Clinical Neuropathology, Indian Journal of Science and Technology, Journal of High Energy Physics, Modern Physics Letters A and Biosciences Biotechnology Research Asia.
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.