M. Sunil Kumar
Impact in
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- Diabetes Treatment and Management
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Blockchain Technology Applications and Security 3
- Spam and Phishing Detection 3
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- AI in cancer detection 4
- Co-authors
- Gérald J. Prud’homme (2 shared papers)Yelena Glinka (2 shared papers)Suresh Kallam (3 shared papers)V. Natarajan (3 shared papers)Rizwan Patan (2 shared papers)Nepton Soltani (1 shared paper)Kazi Kutubuddin Sayyad Liyakat (1 shared paper)Huansheng Dong (1 shared paper)
- Journals
- Gene Therapy (2 papers)Diabetologia (2 papers)Wireless Personal Communications (1 paper)Engineering Applications of Computational Fluid Mechanics (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- IndiaCanadaUnited Kingdom
In The Last Decade
M. Sunil Kumar
43 papers receiving 545 citations
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 62
- Computer Networks and Communications 95
- Health Information Management 17
- Information Systems 84
- Endocrine and Autonomic Systems 19
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 87 | |
| 2 | 2006 | 57 | |
| 3 | 2007 | 56 | |
| 4 | 2020 | 51 | |
| 5 | 2024 | 39 | |
| 6 | 2020 | 39 | |
| 7 | 2022 | 37 | |
| 8 | 2021 | 34 | |
| 9 | 2006 | 29 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 8 |
About M. Sunil Kumar
M. Sunil Kumar is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Plant Science, having authored 55 papers that have together received 645 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Cutaneous Melanoma Detection and Management (4 papers), IoT and Edge/Fog Computing (4 papers), AI in cancer detection (4 papers), Blockchain Technology Applications and Security (3 papers), Spam and Phishing Detection (3 papers), Pancreatic function and diabetes (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (62 citations), Computer Networks and Communications (95 citations), Health Information Management (17 citations), Information Systems (84 citations) and Endocrine and Autonomic Systems (19 citations). M. Sunil Kumar has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Gérald J. Prud’homme, Yelena Glinka, Suresh Kallam, V. Natarajan, Rizwan Patan, Nepton Soltani, Kazi Kutubuddin Sayyad Liyakat, Huansheng Dong, Yaoyu Zhang and Ayman Hyder. Their work appears in journals such as Gene Therapy, Diabetologia, Wireless Personal Communications, Engineering Applications of Computational Fluid Mechanics 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.