Vishak Gopal
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- AI in cancer detection
Papers in
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- Speech and Audio Processing 5
- Music and Audio Processing 3
- Video Coding and Compression Technologies 2
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- Speech Recognition and Synthesis 3
- Co-authors
- Ross Cutler (11 shared papers)Chandan K. Reddy (2 shared papers)R. Kumar (1 shared paper)Fadi Al‐Turjman (1 shared paper)Robert Aichner (3 shared papers)Harishchandra Dubey (3 shared papers)Ashkan Aazami (3 shared papers)Sebastian Braun (3 shared papers)
- Journals
- Measurement (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)IEEE Open Journal of Signal Processing (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2 papers)Interspeech 2022 (1 paper)
- Partner nations
- United StatesFinlandCyprus
In The Last Decade
Vishak Gopal
9 papers receiving 366 citations
Vishak Gopal's Hit Papers
Peers
Comparison fields: 5 of 42
- Signal Processing 252
- Artificial Intelligence 248
- Health Information Management 14
- Health Informatics 4
- Computational Mechanics 61
Countries citing papers authored by Vishak Gopal
This map shows the geographic impact of Vishak Gopal'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 Vishak Gopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishak Gopal more than expected).
Fields of papers citing papers by Vishak Gopal
This network shows the impact of papers produced by Vishak Gopal. 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 Vishak Gopal. The network helps show where Vishak Gopal may publish in the future.
Co-authors
The 17 scholars most cited alongside Vishak Gopal, 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 | Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors Hit paper breakdown → | 2022 | 141 |
| 2 | 2022 | 110 | |
| 3 | 2021 | 78 | |
| 4 | 2024 | 38 | |
| 5 | 2020 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2022 | 0 |
About Vishak Gopal
Vishak Gopal is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 12 papers that have together received 387 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Music and Audio Processing (3 papers), Image and Video Quality Assessment (3 papers), Speech Recognition and Synthesis (3 papers), Video Coding and Compression Technologies (2 papers), Infrared Thermography in Medicine (1 paper), Smart Systems and Machine Learning (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Signal Processing (252 citations), Artificial Intelligence (248 citations), Health Information Management (14 citations), Health Informatics (4 citations) and Computational Mechanics (61 citations). Vishak Gopal has collaborated with scholars based in United States, Finland and Cyprus. Frequent co-authors include Ross Cutler, Chandan K. Reddy, R. Kumar, Fadi Al‐Turjman, Robert Aichner, Harishchandra Dubey, Ashkan Aazami, Sebastian Braun, Şefik Emre Eskimez and Hannes Gamper. Their work appears in journals such as Measurement, Proceedings of the ACM on Human-Computer Interaction, IEEE Open Journal of Signal Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.
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.