Deepu Vijayasenan
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Fabio ValenteHervé BourlardH. BourlardSriram GanapathyPetr MotlíčekSriganesh MadhvanathK PrakashiniRita Singh
- Topics
- Speech Recognition and Synthesis (23 papers)Music and Audio Processing (22 papers)Speech and Audio Processing (20 papers)
- Journals
- IEEE AccessComputers in Biology and MedicineIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Deepu Vijayasenan
39 papers receiving 326 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 276
- Signal Processing 254
- Computer Vision and Pattern Recognition 55
- Radiology, Nuclear Medicine and Imaging 24
- Pulmonary and Respiratory Medicine 20
Countries citing papers authored by Deepu Vijayasenan
This map shows the geographic impact of Deepu Vijayasenan'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 Deepu Vijayasenan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepu Vijayasenan more than expected).
Fields of papers citing papers by Deepu Vijayasenan
This network shows the impact of papers produced by Deepu Vijayasenan. 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 Deepu Vijayasenan. The network helps show where Deepu Vijayasenan may publish in the future.
Co-authorship network of co-authors of Deepu Vijayasenan
This figure shows the co-authorship network connecting the top 25 collaborators of Deepu Vijayasenan. A scholar is included among the top collaborators of Deepu Vijayasenan 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 Deepu Vijayasenan. Deepu Vijayasenan 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | Dimensionality reduction of large TDOA vectors for speaker diarization. | 1 |
| 12 | 32 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 15 | |
| 20 | 20 |
About Deepu Vijayasenan
Deepu Vijayasenan is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 364 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Music and Audio Processing (22 papers) and Speech and Audio Processing (20 papers). The work is most often cited by research in Signal Processing (254 citations), Artificial Intelligence (276 citations) and Computer Vision and Pattern Recognition (55 citations). Deepu Vijayasenan has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Fabio Valente, Hervé Bourlard, H. Bourlard, Sriram Ganapathy, Petr Motlíček, Sriganesh Madhvanath, K Prakashini, Rita Singh, Rajesh Nair and Pitchaiah Mandava. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine and IEEE Transactions on Audio Speech and Language Processing.
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.