V. Arulkumar
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- Face recognition and analysis 2
- Health Information Management top 10%
- Information Systems top 10%
- Blockchain Technology Applications and Security 3
- Cloud Data Security Solutions 2
- Internet of Things and AI 2
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- Biometric Identification and Security 3
- Time Series Analysis and Forecasting 2
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- Anomaly Detection Techniques and Applications 3
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- Smart Grid Security and Resilience 2
- Co-authors
- N. ThangaduraiP. VivekanandanM. ArunaI. Sumaiya ThaseenV. PriyaG. Charlyn Pushpa LathaYusuf PerwejA. Aloysius
- Journals
- Multimedia Tools and Applications (2 papers)Indian Journal of Science and Technology (1 paper)SN Computer Science (1 paper)
- Partner nations
- IndiaUnited StatesOman
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-authorship network
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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 45 | |
| 15 | 2021 | 117 | |
| 16 | 2021 | 10 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 27 | |
| 19 | 2015 | 63 | |
| 20 | 2012 | 23 |
About V. Arulkumar
V. Arulkumar is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Health Information Management, 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), Smart Grid Security and Resilience (2 papers), Time Series Analysis and Forecasting (2 papers), Face recognition and analysis (2 papers), Cloud Data Security Solutions (2 papers) and Internet of Things and AI (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 Oman. Frequent co-authors include N. Thangadurai, P. Vivekanandan, M. Aruna, I. Sumaiya Thaseen, V. Priya, G. Charlyn Pushpa Latha, Yusuf Perwej, A. Aloysius, Anand Nayyar and M. Balamurugan. 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.