V. Vinoth Kumar
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- AI in cancer detection 12
- Privacy-Preserving Technologies in Data 5
- Imbalanced Data Classification Techniques 5
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- Mobile Ad Hoc Networks 5
- Network Security and Intrusion Detection 5
- Co-authors
- T R Mahesh (44 shared papers)Suresh Guluwadi (4 shared papers)V. Muthukumaran (10 shared papers)V. Dhilip Kumar (5 shared papers)Syed Thouheed Ahmed (5 shared papers)M. Mohamed Musthafa (2 shared papers)V Vivek (6 shared papers)Oana Geman (3 shared papers)
- Journals
- IEEE Access (11 papers)IEEE Transactions on Consumer Electronics (3 papers)International Journal of Computational Intelligence Systems (3 papers)Computational Intelligence and Neuroscience (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaEthiopiaSaudi Arabia
In The Last Decade
V. Vinoth Kumar
75 papers receiving 1.3k citations
V. Vinoth Kumar's Hit Papers
Peers
Comparison fields: 5 of 144
- Health Information Management 127
- Health Informatics 35
- Neurology 150
- Artificial Intelligence 498
- Radiology, Nuclear Medicine and Imaging 196
Countries citing papers authored by V. Vinoth Kumar
This map shows the geographic impact of V. Vinoth 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 V. Vinoth Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Vinoth Kumar more than expected).
Fields of papers citing papers by V. Vinoth Kumar
This network shows the impact of papers produced by V. Vinoth 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 V. Vinoth Kumar. The network helps show where V. Vinoth Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Vinoth 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 75 | |
| 2 | Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50 Hit paper breakdown → | 2024 | 68 |
| 3 | 2023 | 58 | |
| 4 | 2022 | 54 | |
| 5 | 2023 | 53 | |
| 6 | 2022 | 51 | |
| 7 | 2023 | 48 | |
| 8 | 2022 | 44 | |
| 9 | 2022 | 43 | |
| 10 | 2024 | 36 | |
| 11 | 2020 | 36 | |
| 12 | 2018 | 36 | |
| 13 | 2023 | 35 | |
| 14 | 2024 | 32 | |
| 15 | 2022 | 29 | |
| 16 | 2024 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2022 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2007 | 26 |
About V. Vinoth Kumar
V. Vinoth Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Health Information Management and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Artificial Intelligence in Healthcare (11 papers), Brain Tumor Detection and Classification (9 papers), Recommender Systems and Techniques (6 papers), Privacy-Preserving Technologies in Data (5 papers), Mobile Ad Hoc Networks (5 papers), Imbalanced Data Classification Techniques (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Health Information Management (127 citations), Health Informatics (35 citations), Neurology (150 citations), Artificial Intelligence (498 citations) and Radiology, Nuclear Medicine and Imaging (196 citations). V. Vinoth Kumar has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include T R Mahesh, Suresh Guluwadi, V. Muthukumaran, V. Dhilip Kumar, Syed Thouheed Ahmed, M. Mohamed Musthafa, V Vivek, Oana Geman, S. R. Sannasi Chakravarthy and N. Bharanidharan. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, International Journal of Computational Intelligence Systems, Computational Intelligence and Neuroscience and Scientific Reports.
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.