D. Govind
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
-
- Phonetics and Phonology Research
- Emotion and Mood Recognition
Papers in
-
- Speech and Audio Processing 37
- Music and Audio Processing 11
- Blind Source Separation Techniques 8
-
- Phonetics and Phonology Research 16
- Emotion and Mood Recognition 9
- Co-authors
- S. R. Mahadeva Prasanna (13 shared papers)Soman Kutti Padannayil (12 shared papers)B. Yegnanarayana (3 shared papers)V. Sowmya (8 shared papers)Gopalakrishnan E. A (4 shared papers)K. Sreenivasa Rao (1 shared paper)Gayadhar Pradhan (2 shared papers)Syed Shahnawazuddin (1 shared paper)
In The Last Decade
D. Govind
63 papers receiving 589 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 329
- Experimental and Cognitive Psychology 225
- Artificial Intelligence 352
- Pharmacy 25
- Computer Vision and Pattern Recognition 107
Countries citing papers authored by D. Govind
This map shows the geographic impact of D. Govind'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 D. Govind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Govind more than expected).
Fields of papers citing papers by D. Govind
This network shows the impact of papers produced by D. Govind. 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 D. Govind. The network helps show where D. Govind may publish in the future.
Co-authors
The 20 scholars most cited alongside D. Govind, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 53 | |
| 2 | 2011 | 42 | |
| 3 | 2012 | 42 | |
| 4 | 2016 | 40 | |
| 5 | 2010 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 2012 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2012 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2019 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2013 | 11 | |
| 19 | Expressive Speech Synthesis Using Prosodic Modification and Dynamic Time Warping | 2009 | 10 |
| 20 | 2024 | 9 |
About D. Govind
D. Govind is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 69 papers that have together received 604 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (37 papers), Phonetics and Phonology Research (16 papers), Music and Audio Processing (11 papers), Emotion and Mood Recognition (9 papers), Blind Source Separation Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Signal Processing (329 citations), Experimental and Cognitive Psychology (225 citations), Artificial Intelligence (352 citations), Pharmacy (25 citations) and Computer Vision and Pattern Recognition (107 citations). D. Govind has collaborated with scholars based in India and Finland. Frequent co-authors include S. R. Mahadeva Prasanna, Soman Kutti Padannayil, B. Yegnanarayana, V. Sowmya, Gopalakrishnan E. A, K. Sreenivasa Rao, Gayadhar Pradhan, Syed Shahnawazuddin, Nagaraj Adiga and Ishwar Chandra Yadav. Their work appears in journals such as International Journal of Speech Technology, Artificial Intelligence Review, Biomedical Signal Processing and Control, Scientific Reports and IEEE Access.
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.