D. Govind

731 citations
56 papers · 449 · h-index 13

Impact in

Papers in

D. Govind

48 papers receiving 436 citations

Peers

D. Govind
Comparison fields: 5 of 61
  • Signal Processing 264
  • Experimental and Cognitive Psychology 179
  • Artificial Intelligence 283
  • Pharmacy 19
  • Computer Vision and Pattern Recognition 76
Replace Kishor Bhangale with:
Kishor Bhangale India
S. Shahnawazuddin India
Ibon Saratxaga Spain
Hoirin Kim South Korea
Zhengqi Wen China
Tianhao Yan China
Anil Kumar Vuppala India
Yoshihiko Nankaku Japan
Şefik Emre Eskimez United States
D. Govind relative to Kishor Bhangale India Kishor Bhangale's profile →
Citations per field
00.5×10×15×20×23.5×
Kishor Bhangale · 1×
Citations per year

Countries citing papers authored by D. Govind

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201047
2 201138
3 201634
4 201232
5 201024
6 201821
7 201220
8 201718
9 202115
10 201713
11 201813
12 201212
13 202012
14 201711
15
Expressive Speech Synthesis Using Prosodic Modification and Dynamic Time Warping
20099
16 20139
17 20199
18 20148
19 20117
20 20246

About D. Govind

D. Govind is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Media Technology, having authored 56 papers that have together received 449 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (35 papers), Speech and Audio Processing (32 papers), Phonetics and Phonology Research (14 papers), Music and Audio Processing (9 papers), Emotion and Mood Recognition (7 papers), Blind Source Separation Techniques (5 papers), Voice and Speech Disorders (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Signal Processing (264 citations), Experimental and Cognitive Psychology (179 citations), Artificial Intelligence (283 citations), Pharmacy (19 citations) and Computer Vision and Pattern Recognition (76 citations). D. Govind has collaborated with scholars based in India. Frequent co-authors include S. R. Mahadeva Prasanna, B. Yegnanarayana, K. P. Soman, E. A. Gopalakrishnan, V. Sowmya, K. Sreenivasa Rao, Gayadhar Pradhan, S. Shahnawazuddin, Nagaraj Adiga and Ishwar Chandra Yadav. Their work appears in journals such as International Journal of Speech Technology, Biomedical Signal Processing and Control, Artificial Intelligence Review, Circuits Systems and Signal Processing and Fortschritte der Neurologie · Psychiatrie.

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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