V. Arulkumar
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- N. Thangadurai (2 shared papers)P. Vivekanandan (2 shared papers)M. Aruna (4 shared papers)V. Priya (1 shared paper)I. Sumaiya Thaseen (1 shared paper)Yusuf Perwej (1 shared paper)G. Charlyn Pushpa Latha (1 shared paper)Rajesh Kumar Dhanaraj (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)Indian Journal of Science and Technology (1 paper)SN Computer Science (1 paper)International Journal of Biomedical Engineering and Technology (2 papers)Indonesian Journal of Electrical Engineering and Computer Science (1 paper)
- Partner nations
- IndiaUnited StatesVietnam
In The Last Decade
V. Arulkumar
18 papers receiving 301 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 129
- Health Information Management 24
- Information Systems 96
- Computer Networks and Communications 97
- Signal Processing 39
Countries citing papers authored by V. Arulkumar
This map shows the geographic impact of V. Arulkumar'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. Arulkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Arulkumar more than expected).
Fields of papers citing papers by V. Arulkumar
This network shows the impact of papers produced by V. Arulkumar. 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. Arulkumar. The network helps show where V. Arulkumar may publish in the future.
Co-authors
The 13 scholars most cited alongside V. Arulkumar, 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 | 2021 | 117 | |
| 2 | 2015 | 63 | |
| 3 | 2021 | 45 | |
| 4 | 2018 | 27 | |
| 5 | 2012 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About V. Arulkumar
V. Arulkumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Biometric Identification and Security (3 papers), Blockchain Technology Applications and Security (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (2 papers), Smart Grid Security and Resilience (2 papers), Time Series Analysis and Forecasting (2 papers), Internet of Things and AI (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Health Information Management (24 citations), Information Systems (96 citations), Computer Networks and Communications (97 citations) and Signal Processing (39 citations). V. Arulkumar has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include N. Thangadurai, P. Vivekanandan, M. Aruna, V. Priya, I. Sumaiya Thaseen, Yusuf Perwej, G. Charlyn Pushpa Latha, Rajesh Kumar Dhanaraj, M. Balamurugan and A. Aloysius. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, SN Computer Science, International Journal of Biomedical Engineering and Technology and Indonesian Journal of Electrical Engineering and Computer Science.
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.