V. Muneeswaran
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 7
- Co-authors
- P. NagarajK. Muthamil SudarM. Pallikonda RajasekaranS. RamkumarG. EmayavarambanP. DeepalakshmiP. ManikandanJ. Deny
In The Last Decade
V. Muneeswaran
73 papers receiving 788 citations
Peers
Comparison fields: 5 of 98
- Health Information Management 79
- Computer Vision and Pattern Recognition 196
- Neurology 60
- Artificial Intelligence 185
- Signal Processing 58
Countries citing papers authored by V. Muneeswaran
This map shows the geographic impact of V. Muneeswaran'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. Muneeswaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Muneeswaran more than expected).
Fields of papers citing papers by V. Muneeswaran
This network shows the impact of papers produced by V. Muneeswaran. 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. Muneeswaran. The network helps show where V. Muneeswaran may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Muneeswaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 26 |
About V. Muneeswaran
V. Muneeswaran is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence and Information Systems, having authored 85 papers that have together received 803 indexed citations. Recurring topics across this work include Intravenous Infusion Technology and Safety (13 papers), Brain Tumor Detection and Classification (8 papers), IoT-based Smart Home Systems (8 papers), Artificial Intelligence in Healthcare (7 papers), Smart Agriculture and AI (7 papers), Internet of Things and AI (7 papers), IoT and Edge/Fog Computing (5 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Health Information Management (79 citations), Computer Vision and Pattern Recognition (196 citations), Neurology (60 citations), Artificial Intelligence (185 citations) and Signal Processing (58 citations). V. Muneeswaran has collaborated with scholars based in India, China and Cuba. Frequent co-authors include P. Nagaraj, K. Muthamil Sudar, M. Pallikonda Rajasekaran, S. Ramkumar, G. Emayavaramban, P. Deepalakshmi, P. Manikandan, J. Deny, M. Thilagaraj and G. Ramesh. Their work appears in journals such as IEEE Access, Pattern Recognition Letters, Cognitive Systems Research, International Journal of Intelligent Systems and Applications and The Journal of Supercomputing.
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.