Surendra Shetty
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Cryptography and Data Security
Papers in
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- Cryptography and Data Security 6
- Coding theory and cryptography 5
- Speech Recognition and Synthesis 5
- Neural Networks and Applications 2
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- Chaos-based Image/Signal Encryption 7
- Co-authors
- K. K. Achary (2 shared papers)Monalisa Sahu (1 shared paper)Adıtya Kumar Sahu (1 shared paper)Muhammad Aslam (1 shared paper)Syeda Fizzah Jilani (1 shared paper)R. Suresh (1 shared paper)Vineet Tirth (1 shared paper)Kiran Shahapurkar (1 shared paper)
In The Last Decade
Surendra Shetty
23 papers receiving 265 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 101
- Artificial Intelligence 153
- Physiology 111
- Computer Vision and Pattern Recognition 58
- Health Informatics 3
Countries citing papers authored by Surendra Shetty
This map shows the geographic impact of Surendra Shetty'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 Surendra Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surendra Shetty more than expected).
Fields of papers citing papers by Surendra Shetty
This network shows the impact of papers produced by Surendra Shetty. 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 Surendra Shetty. The network helps show where Surendra Shetty may publish in the future.
Co-authors
The 12 scholars most cited alongside Surendra Shetty, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2017 | 17 | |
| 3 | 2021 | 14 | |
| 4 | 2015 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2014 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 3 | |
| 19 | Audio Data Mining Using Multi-perceptron Artificial Neural Network | 2008 | 3 |
| 20 | 2016 | 3 |
About Surendra Shetty
Surendra Shetty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Plant Science and Computer Networks and Communications, having authored 25 papers that have together received 280 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (7 papers), Cryptography and Data Security (6 papers), Coding theory and cryptography (5 papers), Music and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers), Smart Agriculture and AI (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (101 citations), Artificial Intelligence (153 citations), Physiology (111 citations), Computer Vision and Pattern Recognition (58 citations) and Health Informatics (3 citations). Surendra Shetty has collaborated with scholars based in India, Australia and Poland. Frequent co-authors include K. K. Achary, Monalisa Sahu, Adıtya Kumar Sahu, Muhammad Aslam, Syeda Fizzah Jilani, R. Suresh, Vineet Tirth, Kiran Shahapurkar, Venkatesh Chenrayan and L. Rajesh Kumar. Their work appears in journals such as Journal of Manufacturing and Materials Processing, Archives of Computational Methods in Engineering, International Journal of Speech Technology, Multimedia Tools and Applications and Journal of Voice.
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.