Éric Grivel
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques
Papers in
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- Blind Source Separation Techniques 12
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- Advanced Adaptive Filtering Techniques 17
- Co-authors
- Mohamed Najim (8 shared papers)Audrey Giremus (13 shared papers)M. Gabrea (2 shared papers)Roberto Diversi (6 shared papers)Roberto Guidorzi (4 shared papers)Pierrick Legrand (15 shared papers)Nicolaï Christov (3 shared papers)Yannick Berthoumieu (2 shared papers)
In The Last Decade
Éric Grivel
63 papers receiving 502 citations
Peers
Comparison fields: 5 of 85
- Signal Processing 147
- Computational Mechanics 124
- Control and Systems Engineering 118
- Statistical and Nonlinear Physics 57
- Artificial Intelligence 133
Countries citing papers authored by Éric Grivel
This map shows the geographic impact of Éric Grivel'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 Éric Grivel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Grivel more than expected).
Fields of papers citing papers by Éric Grivel
This network shows the impact of papers produced by Éric Grivel. 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 Éric Grivel. The network helps show where Éric Grivel may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Grivel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 43 | |
| 2 | 1999 | 40 | |
| 3 | 2007 | 34 | |
| 4 | 2011 | 33 | |
| 5 | 2005 | 32 | |
| 6 | 2019 | 25 | |
| 7 | 2011 | 25 | |
| 8 | 2007 | 16 | |
| 9 | 2011 | 14 | |
| 10 | 2002 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2020 | 11 | |
| 14 | Multichannel AR Parameter Estimation from Noisy Observations As an Errors-In-Variables Issue | 2009 | 10 |
| 15 | 2021 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2009 | 9 | |
| 18 | 2008 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2021 | 8 |
About Éric Grivel
Éric Grivel is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 67 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (17 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers), Blind Source Separation Techniques (12 papers), Complex Systems and Time Series Analysis (11 papers), Control Systems and Identification (10 papers), Chaos control and synchronization (9 papers), Advanced Wireless Communication Techniques (9 papers) and Radar Systems and Signal Processing (8 papers). The work is most often cited by research in Signal Processing (147 citations), Computational Mechanics (124 citations), Control and Systems Engineering (118 citations), Statistical and Nonlinear Physics (57 citations) and Artificial Intelligence (133 citations). Éric Grivel has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include Mohamed Najim, Audrey Giremus, M. Gabrea, Roberto Diversi, Roberto Guidorzi, Pierrick Legrand, Nicolaï Christov, Yannick Berthoumieu, Umberto Soverini and Sylvain Saïghi. Their work appears in journals such as Digital Signal Processing, Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Communications 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.