Anil Kumar Vuppala
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Co-authors
- K. Sreenivasa RaoSaswat ChakrabartiSuryakanth V. GangashettySudarsana Reddy KadiriJainath YadavVinay Kumar MittalSudhamay MaityDipanjan Nandi
- Topics
- Speech Recognition and Synthesis (67 papers)Speech and Audio Processing (52 papers)Music and Audio Processing (37 papers)
In The Last Decade
Anil Kumar Vuppala
83 papers receiving 783 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 671
- Signal Processing 636
- Experimental and Cognitive Psychology 194
- Computer Vision and Pattern Recognition 90
- Physiology 90
Countries citing papers authored by Anil Kumar Vuppala
This map shows the geographic impact of Anil Kumar Vuppala'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 Anil Kumar Vuppala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Kumar Vuppala more than expected).
Fields of papers citing papers by Anil Kumar Vuppala
This network shows the impact of papers produced by Anil Kumar Vuppala. 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 Anil Kumar Vuppala. The network helps show where Anil Kumar Vuppala may publish in the future.
Co-authorship network of co-authors of Anil Kumar Vuppala
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Vuppala. A scholar is included among the top collaborators of Anil Kumar Vuppala 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 Anil Kumar Vuppala. Anil Kumar Vuppala 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | Proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration - Volume 8284 | 1 |
| 17 | 3 | |
| 18 | 55 | |
| 19 | 11 | |
| 20 | 11 |
About Anil Kumar Vuppala
Anil Kumar Vuppala is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 88 papers that have together received 831 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (67 papers), Speech and Audio Processing (52 papers) and Music and Audio Processing (37 papers). The work is most often cited by research in Signal Processing (636 citations), Artificial Intelligence (671 citations) and Experimental and Cognitive Psychology (194 citations). Anil Kumar Vuppala has collaborated with scholars based in India, Norway and Finland. Frequent co-authors include K. Sreenivasa Rao, Saswat Chakrabarti, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, Jainath Yadav, Vinay Kumar Mittal, Sudhamay Maity, Dipanjan Nandi, Shashidhar G. Koolagudi and K. Sri Rama Krishna. Their work appears in journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and IEEE Signal Processing Letters.
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.