Christophe Lévy
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Biometric Identification and Security
- Music and Audio Processing
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Music and Audio Processing 5
- Speech and Audio Processing 5
- Time Series Analysis and Forecasting 2
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- Speech Recognition and Synthesis 8
- Speech and dialogue systems 1
- Co-authors
- Jean-François Bonastre (7 shared papers)Anthony Larcher (4 shared papers)T.F. Cootes (3 shared papers)Pavel Matějka (3 shared papers)Chris McCool (3 shared papers)Sébastien Marcel (3 shared papers)Norman Poh (2 shared papers)Abdenour Hadid (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)IEEE Pervasive Computing (1 paper)EURASIP Journal on Audio Speech and Music Processing (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (3 papers)
- Partner nations
- FranceSwitzerlandUnited Kingdom
In The Last Decade
Christophe Lévy
10 papers receiving 300 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 246
- Computer Vision and Pattern Recognition 129
- Information Systems 92
- Artificial Intelligence 123
- Human-Computer Interaction 18
Countries citing papers authored by Christophe Lévy
This map shows the geographic impact of Christophe Lévy'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 Christophe Lévy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Lévy more than expected).
Fields of papers citing papers by Christophe Lévy
This network shows the impact of papers produced by Christophe Lévy. 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 Christophe Lévy. The network helps show where Christophe Lévy may publish in the future.
Co-authors
The 24 scholars most cited alongside Christophe Lévy, 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 | 2012 | 147 | |
| 2 | 2013 | 68 | |
| 3 | 2012 | 52 | |
| 4 | 2023 | 22 | |
| 5 | Mobile Biometrics (MoBio): Joint Face and Voice Verification for a Mobile Platform | 2012 | 13 |
| 6 | 2004 | 10 | |
| 7 | 2010 | 4 | |
| 8 | 2009 | 4 | |
| 9 | 2007 | 2 | |
| 10 | LIA NIST-SRE'10 systems | 2010 | 1 |
| 11 | 2025 | 0 |
About Christophe Lévy
Christophe Lévy is a scholar working on Signal Processing, Artificial Intelligence, Environmental Engineering, Civil and Structural Engineering and Social Psychology, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers), Time Series Analysis and Forecasting (2 papers), Concrete and Cement Materials Research (1 paper), Social Robot Interaction and HRI (1 paper), Speech and dialogue systems (1 paper) and Infant Health and Development (1 paper). The work is most often cited by research in Signal Processing (246 citations), Computer Vision and Pattern Recognition (129 citations), Information Systems (92 citations), Artificial Intelligence (123 citations) and Human-Computer Interaction (18 citations). Christophe Lévy has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Jean-François Bonastre, Anthony Larcher, T.F. Cootes, Pavel Matějka, Chris McCool, Sébastien Marcel, Norman Poh, Abdenour Hadid, P. Tresadern and Matti Pietikäinen. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Pervasive Computing, EURASIP Journal on Audio Speech and Music Processing, DOAJ (DOAJ: Directory of Open Access Journals) and HAL (Le Centre pour la Communication Scientifique Directe).
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.