M. Sunil Kumar
Impact in
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- Diabetes Treatment and Management
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- IoT and Edge/Fog Computing
Papers in
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- AI in cancer detection 3
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- IoT and Edge/Fog Computing 5
- Co-authors
- Yelena Glinka (2 shared papers)Gérald J. Prud’homme (2 shared papers)Suresh Kallam (3 shared papers)Rizwan Patan (3 shared papers)Nepton Soltani (1 shared paper)Fadi Al‐Turjman (1 shared paper)V. Natarajan (2 shared papers)Huansheng Dong (1 shared paper)
In The Last Decade
M. Sunil Kumar
29 papers receiving 466 citations
Peers
Comparison fields: 5 of 109
- Endocrinology, Diabetes and Metabolism 69
- Computer Networks and Communications 79
- Endocrine and Autonomic Systems 20
- Surgery 120
- Health Information Management 11
Countries citing papers authored by M. Sunil Kumar
This map shows the geographic impact of M. Sunil Kumar'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 M. Sunil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sunil Kumar more than expected).
Fields of papers citing papers by M. Sunil Kumar
This network shows the impact of papers produced by M. Sunil Kumar. 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 M. Sunil Kumar. The network helps show where M. Sunil Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Sunil Kumar, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 84 | |
| 2 | 2006 | 56 | |
| 3 | 2007 | 54 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 34 | |
| 6 | 2022 | 31 | |
| 7 | 2020 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2006 | 29 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | Satisfactory radioiodination of rabbit fibrinogen using chloramine-T. | 1976 | 3 |
About M. Sunil Kumar
M. Sunil Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Plant Science and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 528 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Smart Agriculture and AI (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Artificial Intelligence in Healthcare (3 papers), Pancreatic function and diabetes (3 papers), Brain Tumor Detection and Classification (3 papers), Blockchain Technology Applications and Security (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (69 citations), Computer Networks and Communications (79 citations), Endocrine and Autonomic Systems (20 citations), Surgery (120 citations) and Health Information Management (11 citations). M. Sunil Kumar has collaborated with scholars based in India, Canada and Nepal. Frequent co-authors include Yelena Glinka, Gérald J. Prud’homme, Suresh Kallam, Rizwan Patan, Nepton Soltani, Fadi Al‐Turjman, V. Natarajan, Huansheng Dong, Michael B. Wheeler and Wei‐Yang Lu. Their work appears in journals such as Diabetologia, Gene Therapy, Wireless Personal Communications, Computers & Electrical Engineering and Multimedia Tools and Applications.
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.