V. Arulkumar
Impact in
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- Artificial Intelligence in Healthcare
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- Face and Expression Recognition
Papers in
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- Biometric Identification and Security 3
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- N. Thangadurai (2 shared papers)Periasamy Vivekanandan (2 shared papers)M. Bala Krishna (1 shared paper)V. Priya (1 shared paper)I. Sumaiya Thaseen (1 shared paper)Yusuf Perwej (1 shared paper)G. Charlyn Pushpa Latha (1 shared paper)Anand Nayyar (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)Indian Journal of Science and Technology (1 paper)SN Computer Science (2 papers)International Journal of Biomedical Engineering and Technology (2 papers)International journal of electrical and computer engineering systems (1 paper)
- Partner nations
- IndiaUnited StatesOman
In The Last Decade
V. Arulkumar
21 papers receiving 404 citations
Peers
Comparison fields: 5 of 73
- Health Information Management 33
- Computer Vision and Pattern Recognition 135
- Information Systems 120
- Computer Networks and Communications 105
- Signal Processing 41
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 14 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2015 | 73 | |
| 3 | 2021 | 57 | |
| 4 | 2018 | 27 | |
| 5 | 2023 | 24 | |
| 6 | 2012 | 22 | |
| 7 | 2022 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2024 | 16 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 3 |
About V. Arulkumar
V. Arulkumar is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Biometric Identification and Security (3 papers), Anomaly Detection Techniques and Applications (3 papers), Internet of Things and AI (2 papers), Cloud Data Security Solutions (2 papers), Face and Expression Recognition (2 papers), Stock Market Forecasting Methods (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Health Information Management (33 citations), Computer Vision and Pattern Recognition (135 citations), Information Systems (120 citations), Computer Networks and Communications (105 citations) and Signal Processing (41 citations). V. Arulkumar has collaborated with scholars based in India, United States and Oman. Frequent co-authors include N. Thangadurai, Periasamy Vivekanandan, M. Bala Krishna, V. Priya, I. Sumaiya Thaseen, Yusuf Perwej, G. Charlyn Pushpa Latha, Anand Nayyar, Rajesh Kumar Dhanaraj and Mohammad Hizbul Bahar Arif. 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 International journal of electrical and computer engineering systems.
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.