V. Radha
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Advanced Malware Detection Techniques
- Music and Audio Processing
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- Advanced Data Compression Techniques
Papers in
-
- Speech Recognition and Synthesis 8
-
- Speech and Audio Processing 9
- Advanced Malware Detection Techniques 7
- Co-authors
- Thavavel Vaiyapuri (1 shared paper)Suresh Sahadevan (1 shared paper)Arun K. Pujari (3 shared papers)
- Journals
- Computing (1 paper)Computer Networks (1 paper)Indian Journal of Science and Technology (1 paper)The Journal of Supercomputing (2 papers)International Journal of Grid and Utility Computing (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
V. Radha
54 papers receiving 341 citations
Peers
Comparison fields: 5 of 89
- Signal Processing 82
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 128
- Health Information Management 17
- Information Systems 82
Countries citing papers authored by V. Radha
This map shows the geographic impact of V. Radha'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 V. Radha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Radha more than expected).
Fields of papers citing papers by V. Radha
This network shows the impact of papers produced by V. Radha. 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 V. Radha. The network helps show where V. Radha may publish in the future.
Co-authors
The 3 scholars most cited alongside V. Radha, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2012 | 50 | |
| 3 | 2019 | 22 | |
| 4 | 2012 | 16 | |
| 5 | 2020 | 14 | |
| 6 | 2010 | 12 | |
| 7 | 2017 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2009 | 7 | |
| 12 | Secured Compound Image Compression Using Encryption Techniques | 2011 | 7 |
| 13 | 2015 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2012 | 5 | |
| 19 | A Comparative Study on ROI-Based Lossy Compression Techniques for Compressing Medical Images | 2011 | 5 |
| 20 | 2020 | 5 |
About V. Radha
V. Radha is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 57 papers that have together received 378 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Network Security and Intrusion Detection (8 papers), Advanced Data Compression Techniques (8 papers), Speech Recognition and Synthesis (8 papers), Advanced Malware Detection Techniques (7 papers), Water Quality Monitoring Technologies (6 papers), Image and Signal Denoising Methods (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Signal Processing (82 citations), Computer Vision and Pattern Recognition (97 citations), Artificial Intelligence (128 citations), Health Information Management (17 citations) and Information Systems (82 citations). V. Radha has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Thavavel Vaiyapuri, Suresh Sahadevan and Arun K. Pujari. Their work appears in journals such as Computing, Computer Networks, Indian Journal of Science and Technology, The Journal of Supercomputing and International Journal of Grid and Utility Computing.
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.