A. Revathi
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Biometric Identification and Security
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
Papers in
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- Speech and Audio Processing 33
- Music and Audio Processing 12
-
- Speech Recognition and Synthesis 29
- Co-authors
- N. Sasikaladevi (17 shared papers)K. Geetha (2 shared papers)V. Krishnamurthi (6 shared papers)K. Thenmozhi (1 shared paper)Rengarajan Amirtharajan (2 shared papers)B. Santhi (1 shared paper)S. Vimal (1 shared paper)N. Mahalakshmi (1 shared paper)
In The Last Decade
A. Revathi
53 papers receiving 262 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 201
- Artificial Intelligence 147
- Pharmacy 18
- Computer Vision and Pattern Recognition 79
- Developmental Biology 6
Countries citing papers authored by A. Revathi
This map shows the geographic impact of A. 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 A. Revathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Revathi more than expected).
Fields of papers citing papers by A. Revathi
This network shows the impact of papers produced by A. 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 A. Revathi. The network helps show where A. Revathi may publish in the future.
Co-authors
The 11 scholars most cited alongside A. 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
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 22 | |
| 2 | 2018 | 21 | |
| 3 | 2011 | 17 | |
| 4 | Text Independent Speaker Recognition and Speaker Independent Speech Recognition Using Iterative Clustering Approach | 2012 | 16 |
| 5 | 2019 | 15 | |
| 6 | 2009 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2008 | 10 | |
| 10 | 2016 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2008 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2018 | 6 |
About A. Revathi
A. Revathi is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmacy and Computer Networks and Communications, having authored 61 papers that have together received 307 indexed citations. Recurring topics across this work include Speech and Audio Processing (33 papers), Speech Recognition and Synthesis (29 papers), Music and Audio Processing (12 papers), Infant Health and Development (8 papers), Hand Gesture Recognition Systems (7 papers), Energy Efficient Wireless Sensor Networks (7 papers), Chaos-based Image/Signal Encryption (6 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Signal Processing (201 citations), Artificial Intelligence (147 citations), Pharmacy (18 citations), Computer Vision and Pattern Recognition (79 citations) and Developmental Biology (6 citations). A. Revathi has collaborated with scholars based in India, Chile and Spain. Frequent co-authors include N. Sasikaladevi, K. Geetha, V. Krishnamurthi, K. Thenmozhi, Rengarajan Amirtharajan, B. Santhi, S. Vimal, N. Mahalakshmi, Rubén González Crespo and Vivek Deshpande. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Speech Technology, Indian Journal of Science and Technology, International Journal for Multiscale Computational Engineering and Wireless Personal Communications.
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.