S. Revathy
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Topic Modeling
- Machine Learning in Healthcare
- AI in cancer detection
Papers in
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- Advanced Clustering Algorithms Research 5
- Cryptography and Data Security 4
- Text and Document Classification Technologies 4
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- Spam and Phishing Detection 5
- Cloud Data Security Solutions 4
- Co-authors
- P. Jeyanthi (5 shared papers)B. Bharathi (2 shared papers)Ashish Kumar (3 shared papers)V. Maria Anu (6 shared papers)K. S. Subramanian (1 shared paper)Sivaraj Anbarasu (1 shared paper)K. Vijai Anand (1 shared paper)K. Govindaraju (1 shared paper)
- Journals
- Multimedia Tools and Applications (3 papers)Indian Journal of Science and Technology (2 papers)Materials Chemistry and Physics (1 paper)IEEE Access (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
S. Revathy
50 papers receiving 349 citations
Peers
Comparison fields: 5 of 91
- Health Information Management 54
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 88
- Information Systems 80
- Environmental Engineering 33
Countries citing papers authored by S. Revathy
This map shows the geographic impact of S. Revathy'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 S. Revathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Revathy more than expected).
Fields of papers citing papers by S. Revathy
This network shows the impact of papers produced by S. Revathy. 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 S. Revathy. The network helps show where S. Revathy may publish in the future.
Co-authors
The 19 scholars most cited alongside S. Revathy, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2019 | 57 | |
| 3 | 2022 | 40 | |
| 4 | 2019 | 33 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About S. Revathy
S. Revathy is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 56 papers that have together received 387 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Advanced Clustering Algorithms Research (5 papers), Network Security and Intrusion Detection (5 papers), Cryptography and Data Security (4 papers), IoT-based Smart Home Systems (4 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Health Information Management (54 citations), Artificial Intelligence (156 citations), Computer Vision and Pattern Recognition (88 citations), Information Systems (80 citations) and Environmental Engineering (33 citations). S. Revathy has collaborated with scholars based in India and United States. Frequent co-authors include P. Jeyanthi, B. Bharathi, Ashish Kumar, V. Maria Anu, K. S. Subramanian, Sivaraj Anbarasu, K. Vijai Anand, K. Govindaraju, M. Kannan and Jayaraman Theerthagiri. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Materials Chemistry and Physics, IEEE Access and Theoretical 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.