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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- Spam and Phishing Detection 5
- Cloud Data Security Solutions 4
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- Advanced Clustering Algorithms Research 5
- Text and Document Classification Technologies 4
- Cryptography and Data Security 4
- Co-authors
- P. Jeyanthi (5 shared papers)B. Bharathi (2 shared papers)Ashish Kumar (3 shared papers)V. Maria Anu (6 shared papers)Jayaraman Theerthagiri (1 shared paper)Sivaraj Anbarasu (1 shared paper)Malaichamy Kannan (1 shared paper)K.S. Siva Subramanian (1 shared paper)
- Journals
- Multimedia Tools and Applications (3 papers)Indian Journal of Science and Technology (2 papers)Materials Chemistry and Physics (1 paper)Theoretical Computer Science (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
S. Revathy
51 papers receiving 373 citations
Peers
Comparison fields: 5 of 93
- Health Information Management 55
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 89
- Information Systems 79
- Health Informatics 4
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2019 | 59 | |
| 3 | 2022 | 45 | |
| 4 | 2019 | 34 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2016 | 4 |
About S. Revathy
S. Revathy is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 55 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Network Security and Intrusion Detection (5 papers), Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (4 papers), IoT-based Smart Home Systems (4 papers), Cloud Data Security Solutions (4 papers), Cryptography and Data Security (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Health Information Management (55 citations), Artificial Intelligence (155 citations), Computer Vision and Pattern Recognition (89 citations), Information Systems (79 citations) and Health Informatics (4 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, Jayaraman Theerthagiri, Sivaraj Anbarasu, Malaichamy Kannan, K.S. Siva Subramanian, K. Govindaraju and Kabali Vijai Anand. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Materials Chemistry and Physics, Theoretical Computer Science and IEEE Access.
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.