Jithendra Vepa
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Co-authors
- Hervé BourlardJohn DinesThomas HainSibsambhu KarAbhay KumarSimon KingSamy BengioLukáš Burget
- Topics
- Speech Recognition and Synthesis (15 papers)Speech and Audio Processing (14 papers)Music and Audio Processing (9 papers)
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne)Edinburgh Research ExplorerPubMed
- Partner nations
- SwitzerlandUnited KingdomIndia
In The Last Decade
Jithendra Vepa
23 papers receiving 413 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 339
- Artificial Intelligence 335
- Experimental and Cognitive Psychology 103
- Pulmonary and Respiratory Medicine 48
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Jithendra Vepa
This map shows the geographic impact of Jithendra Vepa'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 Jithendra Vepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jithendra Vepa more than expected).
Fields of papers citing papers by Jithendra Vepa
This network shows the impact of papers produced by Jithendra Vepa. 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 Jithendra Vepa. The network helps show where Jithendra Vepa may publish in the future.
Co-authorship network of co-authors of Jithendra Vepa
This figure shows the co-authorship network connecting the top 25 collaborators of Jithendra Vepa. A scholar is included among the top collaborators of Jithendra Vepa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jithendra Vepa. Jithendra Vepa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Language Agnostic Speech Embeddings for Emotion Classification | 4 |
| 6 | 109 | |
| 7 | 27 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 30 | |
| 13 | 75 | |
| 14 | 27 | |
| 15 | 44 | |
| 16 | 2 | |
| 17 | 40 | |
| 18 | 25 | |
| 19 | 4 | |
| 20 | 9 |
About Jithendra Vepa
Jithendra Vepa is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 24 papers that have together received 474 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (339 citations), Artificial Intelligence (335 citations) and Experimental and Cognitive Psychology (103 citations). Jithendra Vepa has collaborated with scholars based in Switzerland, United Kingdom and India. Frequent co-authors include Hervé Bourlard, John Dines, Thomas Hain, Sibsambhu Kar, Abhay Kumar, Simon King, Samy Bengio, Lukáš Burget, Giulia Garau and Mike Lincoln. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Edinburgh Research Explorer and PubMed.
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.