Surendra Shetty

521 citations
35 papers · 364 · h-index 10

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Cryptography and Data Security
    • Cryptographic Implementations and Security

Papers in

Surendra Shetty

32 papers receiving 344 citations

Peers

Surendra Shetty
Comparison fields: 5 of 75
  • Signal Processing 136
  • Artificial Intelligence 173
  • Physiology 114
  • Computer Vision and Pattern Recognition 91
  • Developmental Biology 5
Replace Moumita Pramanik with:
Moumita Pramanik India
Jichen Yang China
A. Revathi India
Federico Alegre France
Dhiah Al‐Shammary Iraq
Anurag Chowdhury United States
Galina Lavrentyeva Russia
Pradip K. Das India
Kwanghee Choi United States
Hee-Soo Heo South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Surendra Shetty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 14 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.

Border = papers with Surendra Shetty Line = papers co-authored together Surendra Shetty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 201720
3 201515
4 202114
5 201214
6 201913
7 202012
8 202312
9 201811
10 20179
11 20169
12 20238
13 20198
14 20127
15 20187
16 20236
17 20206
18 20206
19 20146
20 20195

About Surendra Shetty

Surendra Shetty is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications and Information Systems, having authored 35 papers that have together received 364 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Chaos-based Image/Signal Encryption (9 papers), Cryptography and Data Security (7 papers), Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (7 papers), Coding theory and cryptography (6 papers), Music Technology and Sound Studies (5 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Signal Processing (136 citations), Artificial Intelligence (173 citations), Physiology (114 citations), Computer Vision and Pattern Recognition (91 citations) and Developmental Biology (5 citations). Surendra Shetty has collaborated with scholars based in India, Australia and United States. Frequent co-authors include K. K. Achary, R. Suresh, Aditya Kumar Sahu, Monalisa Sahu, Nagaraja Shetty, Syeda Fizzah Jilani, Muhammad Aslam, Niranjan N. Chiplunkar, M N Islam and L. Rajesh Kumar. Their work appears in journals such as Journal of Manufacturing and Materials Processing, International Journal of Speech Technology, Journal of Voice, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

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.

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