P.V. de Souza
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Experimental and Cognitive Psychology
- Co-authors
- L.R. BahlPeter F. BrownR. L. MercerMichael PichenyD. NahamooP.S. GopalakrishnanRobert L. MercerPhilip Houghton
- Topics
- Speech Recognition and Synthesis (16 papers)Speech and Audio Processing (10 papers)Music and Audio Processing (10 papers)
- Journals
- Mathematical BiosciencesIEEE Transactions on Speech and Audio ProcessingComputer Speech & Language
- Partner nations
- United StatesNew Zealand
In The Last Decade
P.V. de Souza
19 papers receiving 376 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 402
- Signal Processing 207
- Computer Vision and Pattern Recognition 80
- Information Systems 29
- Experimental and Cognitive Psychology 10
Countries citing papers authored by P.V. de Souza
This map shows the geographic impact of P.V. de Souza'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 P.V. de Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.V. de Souza more than expected).
Fields of papers citing papers by P.V. de Souza
This network shows the impact of papers produced by P.V. de Souza. 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 P.V. de Souza. The network helps show where P.V. de Souza may publish in the future.
Co-authorship network of co-authors of P.V. de Souza
This figure shows the co-authorship network connecting the top 25 collaborators of P.V. de Souza. A scholar is included among the top collaborators of P.V. de Souza 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 P.V. de Souza. P.V. de Souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 7 | |
| 6 | 41 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 34 | |
| 14 | 33 | |
| 15 | 14 | |
| 16 | 16 | |
| 17 | 18 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 16 |
About P.V. de Souza
P.V. de Souza is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (10 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (207 citations), Artificial Intelligence (402 citations) and Computer Vision and Pattern Recognition (80 citations). P.V. de Souza has collaborated with scholars based in United States and New Zealand. Frequent co-authors include L.R. Bahl, Peter F. Brown, R. L. Mercer, Michael Picheny, D. Nahamoo, P.S. Gopalakrishnan, Robert L. Mercer, Philip Houghton, J.R. Bellegarda and Arthur Nádas. Their work appears in journals such as Mathematical Biosciences, IEEE Transactions on Speech and Audio Processing and Computer Speech & Language.
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.