S. Revathi
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
Papers in
-
- Network Security and Intrusion Detection 4
- Distributed and Parallel Computing Systems 2
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- Cloud Computing and Resource Management 3
- Spam and Phishing Detection 2
- Co-authors
- A. Malathi (3 shared papers)R. Rajaram (1 shared paper)P. Venkatesh (2 shared papers)P. Chitra (2 shared papers)Saira Begum (1 shared paper)
- Journals
- Multimedia Tools and Applications (1 paper)Indian Journal of Science and Technology (1 paper)Open MIND (1 paper)International Journal of Computer Applications (2 papers)International Journal of Computer Trends and Technology (1 paper)
- Partner nations
- India
In The Last Decade
S. Revathi
10 papers receiving 315 citations
S. Revathi's Hit Papers
Peers
Comparison fields: 5 of 22
- Signal Processing 165
- Computer Networks and Communications 323
- Artificial Intelligence 270
- Hardware and Architecture 21
- Information Systems 28
Countries citing papers authored by S. Revathi
This map shows the geographic impact of S. Revathi'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. Revathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Revathi more than expected).
Fields of papers citing papers by S. Revathi
This network shows the impact of papers produced by S. Revathi. 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. Revathi. The network helps show where S. Revathi may publish in the future.
Co-authors
The 5 scholars most cited alongside S. Revathi, 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 | A Detailed Analysis on NSL-KDD Dataset Using Various Machine Learning Techniques for Intrusion Detection Hit paper breakdown → | 2013 | 316 |
| 2 | 2010 | 6 | |
| 3 | 2013 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2014 | 3 | |
| 6 | 2009 | 3 | |
| 7 | 2016 | 3 | |
| 8 | Fuzzy Possibilistic C-Mean Clustering Algorithm for Text Categorization | 2014 | 1 |
| 9 | 2014 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2021 | 0 |
About S. Revathi
S. Revathi is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Biomedical Engineering, having authored 11 papers that have together received 342 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Advanced Malware Detection Techniques (3 papers), Cloud Computing and Resource Management (3 papers), Spam and Phishing Detection (2 papers), Distributed and Parallel Computing Systems (2 papers), Cryptography and Data Security (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Signal Processing (165 citations), Computer Networks and Communications (323 citations), Artificial Intelligence (270 citations), Hardware and Architecture (21 citations) and Information Systems (28 citations). S. Revathi has collaborated with scholars based in India. Frequent co-authors include A. Malathi, R. Rajaram, P. Venkatesh, P. Chitra and Saira Begum. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Open MIND, International Journal of Computer Applications and International Journal of Computer Trends and Technology.
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.