G. Faucon
- Signal Processing top 1%
- Computational Mechanics top 2%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Régine Le Bouquin JeannèsBoris GourévitchAlexandre GuérinCatherine Liégeois‐ChauvelPascal ScalartChristophe BeaugeantAhmad AkbariEmmanuel Maby
- Topics
- Speech and Audio Processing (34 papers)Advanced Adaptive Filtering Techniques (26 papers)Blind Source Separation Techniques (12 papers)
In The Last Decade
G. Faucon
55 papers receiving 842 citations
Peers
Comparison fields: 5 of 90
- Signal Processing 533
- Computational Mechanics 419
- Cognitive Neuroscience 378
- Biomedical Engineering 110
- Artificial Intelligence 102
Countries citing papers authored by G. Faucon
This map shows the geographic impact of G. Faucon'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 G. Faucon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Faucon more than expected).
Fields of papers citing papers by G. Faucon
This network shows the impact of papers produced by G. Faucon. 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 G. Faucon. The network helps show where G. Faucon may publish in the future.
Co-authorship network of co-authors of G. Faucon
This figure shows the co-authorship network connecting the top 25 collaborators of G. Faucon. A scholar is included among the top collaborators of G. Faucon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Faucon. G. Faucon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | Characterization of the Multidimensional Perceptive Space for Current Speech and Sound Codecs | 2 |
| 5 | 34 | |
| 6 | 8 | |
| 7 | A new adaptation mode controller for adaptive microphone arrays based on nested and symmetric leaky blocking matrices | 3 |
| 8 | Estimation of the Signal-To-Interference Ratio Based on Normalized Cross-Correlation with Symmetric Leaky Blocking Matrices in Adaptive Microphone Arrays | 3 |
| 9 | A step further to objective modeling of conversational speech quality | 1 |
| 10 | Estimation of the Signal-To-Interference Ratio Based on Normalized Cross-Correlation with Symmetric Leaky Blocking Matrices in Adaptive Microphone Arrays(画像信号処理及び一般) | 0 |
| 11 | 172 | |
| 12 | 16 | |
| 13 | 21 | |
| 14 | 14 | |
| 15 | 25 | |
| 16 | 36 | |
| 17 | A Perceptual Model Applied to Audio Bit-Rate Reduction | 39 |
| 18 | 2 | |
| 19 | A Perceptual Objective Measurement System (POM) for the Quality Assessment of Perceptual Codecs | 4 |
| 20 | Effets électrophysiologiques cardiaques du gluconate de lithium chez le chien anesthésié. | 1 |
About G. Faucon
G. Faucon is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience, having authored 63 papers that have together received 921 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Advanced Adaptive Filtering Techniques (26 papers) and Blind Source Separation Techniques (12 papers). The work is most often cited by research in Signal Processing (533 citations), Computational Mechanics (419 citations) and Cognitive Neuroscience (378 citations). G. Faucon has collaborated with scholars based in France, China and Japan. Frequent co-authors include Régine Le Bouquin Jeannès, Boris Gourévitch, Alexandre Guérin, Catherine Liégeois‐Chauvel, Pascal Scalart, Christophe Beaugeant, Ahmad Akbari, Emmanuel Maby, Catherine Colomes and René de Sèze. Their work appears in journals such as Cerebral Cortex, Electronics Letters and 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.