Olivier Siohan
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Computational Mechanics
- Co-authors
- Chin‐Hui LeeBhuvana RamabhadranJonathan MamouMichiel BacchianiHank LiaoTor André MyrvollMohamed AfifyDmitriy Serdyuk
- Topics
- Speech Recognition and Synthesis (61 papers)Speech and Audio Processing (52 papers)Music and Audio Processing (40 papers)
- Journals
- IEEE Signal Processing LettersIEEE Transactions on Audio Speech and Language ProcessingIEEE Transactions on Speech and Audio Processing
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Olivier Siohan
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 1.1k
- Signal Processing 962
- Computer Vision and Pattern Recognition 126
- Experimental and Cognitive Psychology 56
- Computational Mechanics 49
Countries citing papers authored by Olivier Siohan
This map shows the geographic impact of Olivier Siohan'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 Olivier Siohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Siohan more than expected).
Fields of papers citing papers by Olivier Siohan
This network shows the impact of papers produced by Olivier Siohan. 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 Olivier Siohan. The network helps show where Olivier Siohan may publish in the future.
Co-authorship network of co-authors of Olivier Siohan
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Siohan. A scholar is included among the top collaborators of Olivier Siohan 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 Olivier Siohan. Olivier Siohan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | Audio-Visual Speech Recognition is Worth 32×32×8 Voxels. | 7 |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 91 | |
| 9 | 1 | |
| 10 | 76 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 8 | |
| 20 | 1 |
About Olivier Siohan
Olivier Siohan is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (61 papers), Speech and Audio Processing (52 papers) and Music and Audio Processing (40 papers). The work is most often cited by research in Signal Processing (962 citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (126 citations). Olivier Siohan has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Chin‐Hui Lee, Bhuvana Ramabhadran, Jonathan Mamou, Michiel Bacchiani, Hank Liao, Tor André Myrvoll, Mohamed Afify, Dmitriy Serdyuk, Brian Kingsbury and Frank K. Soong. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio 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.