Cédric Févotte
- Signal Processing top 0.05%
- Speech and Audio Processing 45
- Blind Source Separation Techniques 42
- Music and Audio Processing 19
- Computational Mathematics top 1%
- Computational Mechanics top 0.2%
- Advanced Adaptive Filtering Techniques 13
- Sparse and Compressive Sensing Techniques 11
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- Image and Signal Denoising Methods 8
- Face and Expression Recognition 6
- Artificial Intelligence top 1%
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- Spectroscopy and Chemometric Analyses 8
- Co-authors
- Rémi GribonvalEmmanuel VincentJean-Louis DurrieuAlexey OzerovNancy BertinJérôme IdierVincent Y. F. TanSimon Godsill
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Signal Processing (6 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Cédric Févotte
70 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Signal Processing 4.1k
- Computational Mathematics 115
- Computational Mechanics 2.0k
- Computer Vision and Pattern Recognition 864
- Artificial Intelligence 1.0k
Countries citing papers authored by Cédric Févotte
This map shows the geographic impact of Cédric Févotte'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 Cédric Févotte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Févotte more than expected).
Fields of papers citing papers by Cédric Févotte
This network shows the impact of papers produced by Cédric Févotte. 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 Cédric Févotte. The network helps show where Cédric Févotte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cédric Févotte, 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 | 2023 | 2 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 4 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 7 | |
| 9 | 2013 | 31 | |
| 10 | 2012 | 178 | |
| 11 | Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation | 2011 | 1 |
| 12 | 2011 | 56 | |
| 13 | Split gradient method for nonnegative matrix factorization | 2010 | 8 |
| 14 | 2009 | 60 | |
| 15 | 2008 | 11 | |
| 16 | 2007 | 10 | |
| 17 | 2006 | 40 | |
| 18 | BSS_EVAL Toolbox User Guide -- Revision 2.0 | 2005 | 78 |
| 19 | 2004 | 61 | |
| 20 | Blind source separation of FIR convolutive mixtures: application to speech signals. | 2003 | 2 |
About Cédric Févotte
Cédric Févotte is a scholar working on Signal Processing, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 5.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Blind Source Separation Techniques (42 papers), Music and Audio Processing (19 papers), Advanced Adaptive Filtering Techniques (13 papers), Sparse and Compressive Sensing Techniques (11 papers), Image and Signal Denoising Methods (8 papers), Spectroscopy and Chemometric Analyses (8 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Signal Processing (4.1k citations), Computational Mathematics (115 citations) and Computational Mechanics (2.0k citations). Cédric Févotte has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Rémi Gribonval, Emmanuel Vincent, Jean-Louis Durrieu, Alexey Ozerov, Nancy Bertin, Jérôme Idier, Vincent Y. F. Tan, Simon Godsill, Nicolas Dobigeon and C. Doncarli. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal 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.