Simon Leglaive
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
Papers in
-
- Speech and Audio Processing 17
- Music and Audio Processing 14
- Blind Source Separation Techniques 2
-
- Speech Recognition and Synthesis 12
- Co-authors
- Laurent Girin (12 shared papers)Xavier Alameda-Pineda (12 shared papers)Xiaoyu Bie (5 shared papers)Radu Horaud (3 shared papers)Thomas Hueber (3 shared papers)Julien Diard (2 shared papers)Mostafa Sadeghi (1 shared paper)Renaud Séguier (4 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)Computer Speech & Language (1 paper)Speech Communication (1 paper)Neural Networks (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Simon Leglaive
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 185
- Artificial Intelligence 163
- Computer Vision and Pattern Recognition 66
- Experimental and Cognitive Psychology 32
- Computational Mechanics 43
Countries citing papers authored by Simon Leglaive
This map shows the geographic impact of Simon Leglaive'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 Simon Leglaive with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Leglaive more than expected).
Fields of papers citing papers by Simon Leglaive
This network shows the impact of papers produced by Simon Leglaive. 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 Simon Leglaive. The network helps show where Simon Leglaive may publish in the future.
Co-authors
The 18 scholars most cited alongside Simon Leglaive, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 96 | |
| 2 | 2020 | 59 | |
| 3 | 2020 | 43 | |
| 4 | 2022 | 42 | |
| 5 | 2021 | 41 | |
| 6 | 2023 | 16 | |
| 7 | 2016 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Simon Leglaive
Simon Leglaive is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Experimental and Cognitive Psychology, having authored 20 papers that have together received 352 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Music and Audio Processing (14 papers), Speech Recognition and Synthesis (12 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Emotion and Mood Recognition (3 papers), Blind Source Separation Techniques (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Signal Processing (185 citations), Artificial Intelligence (163 citations), Computer Vision and Pattern Recognition (66 citations), Experimental and Cognitive Psychology (32 citations) and Computational Mechanics (43 citations). Simon Leglaive has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Laurent Girin, Xavier Alameda-Pineda, Xiaoyu Bie, Radu Horaud, Thomas Hueber, Julien Diard, Mostafa Sadeghi, Renaud Séguier, Gaël Richard and Roland Badeau. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language, Speech Communication, Neural Networks and Computer Vision and Image Understanding.
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.