M. Kathiravan
Impact in
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- Virtual Reality Applications and Impacts
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- Spam and Phishing Detection
- AI and Big Data Applications
- Blockchain Technology Applications and Security
Papers in
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- Spam and Phishing Detection 2
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- Music Technology and Sound Studies 4
- Co-authors
- N. Bharathiraja (5 shared papers)Muthukumaran Malarvel (3 shared papers)Ravi Sekhar (2 shared papers)S. Kavitha (1 shared paper)Shanmugasundaram Hariharan (1 shared paper)R. Shanthi (1 shared paper)M. Sambath (1 shared paper)Ritesh Vijay (3 shared papers)
In The Last Decade
M. Kathiravan
28 papers receiving 91 citations
Peers
Comparison fields: 5 of 59
- Human-Computer Interaction 7
- Information Systems 24
- Computer Vision and Pattern Recognition 18
- Artificial Intelligence 26
- Health Information Management 3
Countries citing papers authored by M. Kathiravan
This map shows the geographic impact of M. Kathiravan'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 M. Kathiravan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kathiravan more than expected).
Fields of papers citing papers by M. Kathiravan
This network shows the impact of papers produced by M. Kathiravan. 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 M. Kathiravan. The network helps show where M. Kathiravan may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Kathiravan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 13 | |
| 2 | 2022 | 10 | |
| 3 | 2023 | 8 | |
| 4 | 2021 | 7 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About M. Kathiravan
M. Kathiravan is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 39 papers that have together received 97 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (4 papers), Music and Audio Processing (4 papers), Sentiment Analysis and Opinion Mining (3 papers), COVID-19 diagnosis using AI (2 papers), Neuroscience and Music Perception (2 papers), IoT and Edge/Fog Computing (2 papers), Spam and Phishing Detection (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Human-Computer Interaction (7 citations), Information Systems (24 citations), Computer Vision and Pattern Recognition (18 citations), Artificial Intelligence (26 citations) and Health Information Management (3 citations). M. Kathiravan has collaborated with scholars based in India, Cyprus and Bolivia. Frequent co-authors include N. Bharathiraja, Muthukumaran Malarvel, Ravi Sekhar, S. Kavitha, Shanmugasundaram Hariharan, R. Shanthi, M. Sambath, Ritesh Vijay, Vineet Gandhi and M. Vinoth Kumar. Their work appears in journals such as Scientific Reports, Indian Journal of Science and Technology, IEEE Access, Research Journal of Pharmacy and Technology and Frontiers in 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.