Sujit Kumar Das
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Diabetic Foot Ulcer Assessment and Management 10
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- Tryptophan and brain disorders 4
- Co-authors
- Arnab Kumar Mishra (14 shared papers)Pinki Roy (14 shared papers)Sivaji Bandyopadhyay (6 shared papers)Pranav Kumar Singh (4 shared papers)Suyel Namasudra (4 shared papers)Deepali Jain (1 shared paper)Anshuman Kalla (1 shared paper)Nageswara Rao Moparthi (3 shared papers)
In The Last Decade
Sujit Kumar Das
38 papers receiving 601 citations
Peers
Comparison fields: 5 of 97
- Health Informatics 18
- Health Information Management 52
- Radiology, Nuclear Medicine and Imaging 208
- Endocrinology, Diabetes and Metabolism 146
- Rehabilitation 55
Countries citing papers authored by Sujit Kumar Das
This map shows the geographic impact of Sujit Kumar 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 Sujit Kumar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Kumar Das more than expected).
Fields of papers citing papers by Sujit Kumar Das
This network shows the impact of papers produced by Sujit Kumar 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 Sujit Kumar Das. The network helps show where Sujit Kumar Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujit Kumar 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2021 | 84 | |
| 3 | 2021 | 71 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2023 | 31 | |
| 7 | 2020 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2006 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 7 |
About Sujit Kumar Das
Sujit Kumar Das is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry, Artificial Intelligence, Computer Vision and Pattern Recognition and Rehabilitation, having authored 42 papers that have together received 621 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (10 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Tryptophan and brain disorders (4 papers), Smart Agriculture and AI (4 papers), Digital Imaging for Blood Diseases (3 papers), Wound Healing and Treatments (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (52 citations), Radiology, Nuclear Medicine and Imaging (208 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Rehabilitation (55 citations). Sujit Kumar Das has collaborated with scholars based in India, Lebanon and Australia. Frequent co-authors include Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Pranav Kumar Singh, Suyel Namasudra, Deepali Jain, Anshuman Kalla, Nageswara Rao Moparthi, Nirmal Kumar Bera and Tapas Kumar Chaudhuri. Their work appears in journals such as International Journal of Imaging Systems and Technology, Multimedia Tools and Applications, The Canadian Journal of Psychiatry, Image and Vision Computing and Egyptian Journal of Biological Pest Control.
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.