Yogesh Virkar
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Language and Linguistics top 10%
- Co-authors
- Aaron ClausetMarcello FedericoRoberto Barra-ChicotePrashant MathurJuan G. RestrepoEdward OttWoodrow L. ShewBrian J. Thompson
- Topics
- Natural Language Processing Techniques (9 papers)Speech Recognition and Synthesis (6 papers)Music and Audio Processing (4 papers)
- Journals
- Physical review. ETransactions of the Association for Computational LinguisticsThe Annals of Applied Statistics
- Partner nations
- United StatesGermany
In The Last Decade
Yogesh Virkar
14 papers receiving 254 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 64
- Statistical and Nonlinear Physics 49
- Computer Vision and Pattern Recognition 38
- Signal Processing 35
- Language and Linguistics 35
Countries citing papers authored by Yogesh Virkar
This map shows the geographic impact of Yogesh Virkar'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 Yogesh Virkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Virkar more than expected).
Fields of papers citing papers by Yogesh Virkar
This network shows the impact of papers produced by Yogesh Virkar. 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 Yogesh Virkar. The network helps show where Yogesh Virkar may publish in the future.
Co-authorship network of co-authors of Yogesh Virkar
This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Virkar. A scholar is included among the top collaborators of Yogesh Virkar 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 Yogesh Virkar. Yogesh Virkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 165 |
About Yogesh Virkar
Yogesh Virkar is a scholar working on Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 15 papers that have together received 266 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (49 citations), Language and Linguistics (35 citations) and Signal Processing (35 citations). Yogesh Virkar has collaborated with scholars based in United States and Germany. Frequent co-authors include Aaron Clauset, Marcello Federico, Roberto Barra-Chicote, Prashant Mathur, Juan G. Restrepo, Edward Ott, Woodrow L. Shew, Brian J. Thompson, William Brannon and James D. Meiss. Their work appears in journals such as Physical review. E, Transactions of the Association for Computational Linguistics and The Annals of Applied Statistics.
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.