Cédric Richard
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Computational Mechanics top 0.5%
- Advanced Adaptive Filtering Techniques
- Sparse and Compressive Sensing Techniques
Papers in
-
- Blind Source Separation Techniques 28
- Speech and Audio Processing 20
-
- Remote-Sensing Image Classification 19
- Advanced Image Fusion Techniques 18
- Co-authors
- Jie ChenAli H. SayedPaul HoneinéJ.C.M. BermudezHichem SnoussiRoula NassifAndré FerrariJing Teng
- Journals
- IEEE Transactions on Signal Processing (19 papers)Signal Processing (7 papers)IEEE Transactions on Signal and Information Processing over Networks (5 papers)IEEE Signal Processing Letters (5 papers)IEEE Transactions on Mobile Computing (2 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Cédric Richard
150 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 115
- Signal Processing 964
- Computational Mechanics 1.2k
- Media Technology 463
- Computer Networks and Communications 719
- Computational Mathematics 18
Countries citing papers authored by Cédric Richard
This map shows the geographic impact of Cédric Richard'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 Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Richard more than expected).
Fields of papers citing papers by Cédric Richard
This network shows the impact of papers produced by Cédric Richard. 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 Richard. The network helps show where Cédric Richard may publish in the future.
Co-authors
The 25 scholars most cited alongside Cédric Richard, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 51 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 43 | |
| 11 | 2021 | 64 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 34 | |
| 15 | 2020 | 64 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 78 | |
| 19 | 2018 | 28 | |
| 20 | Split gradient method for nonnegative matrix factorization | 2010 | 8 |
About Cédric Richard
Cédric Richard is a scholar working on Signal Processing, Media Technology, Computational Mechanics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 156 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (38 papers), Blind Source Separation Techniques (28 papers), Image and Signal Denoising Methods (27 papers), Speech and Audio Processing (20 papers), Remote-Sensing Image Classification (19 papers), Sparse and Compressive Sensing Techniques (18 papers), Advanced Image Fusion Techniques (18 papers) and Indoor and Outdoor Localization Technologies (18 papers). The work is most often cited by research in Signal Processing (964 citations), Computational Mechanics (1.2k citations), Media Technology (463 citations), Computer Networks and Communications (719 citations) and Computational Mathematics (18 citations). Cédric Richard has collaborated with scholars based in France, China and United States. Frequent co-authors include Jie Chen, Ali H. Sayed, Paul Honeiné, J.C.M. Bermudez, Hichem Snoussi, Roula Nassif, André Ferrari, Jing Teng, Wei Gao and Ricardo Augusto Borsoi. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, IEEE Signal Processing Letters and IEEE Transactions on Mobile Computing.
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.