F. Pachet
Impact in
- Signal Processing top 1%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music Technology and Sound Studies 10
- Video Analysis and Summarization 3
-
- Music and Audio Processing 10
- Speech and Audio Processing 4
- Co-authors
- Jean‐Julien Aucouturier (4 shared papers)Pierre Roy (4 shared papers)M. Sandler (1 shared paper)Michel Dojat (2 shared papers)Dominique Touchard (1 shared paper)A. Harf (1 shared paper)Olivier Delerue (1 shared paper)Zahia Guessoum (1 shared paper)
- Journals
- IEEE Multimedia (2 papers)Artificial Intelligence in Medicine (1 paper)IEEE Computer Graphics and Applications (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)Journal of New Music Research (1 paper)
- Partner nations
- JapanFranceUnited Kingdom
In The Last Decade
F. Pachet
14 papers receiving 545 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 509
- Computer Vision and Pattern Recognition 434
- Music 49
- Cognitive Neuroscience 148
- Developmental Biology 9
Countries citing papers authored by F. Pachet
This map shows the geographic impact of F. Pachet'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 F. Pachet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Pachet more than expected).
Fields of papers citing papers by F. Pachet
This network shows the impact of papers produced by F. Pachet. 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 F. Pachet. The network helps show where F. Pachet may publish in the future.
Co-authors
The 13 scholars most cited alongside F. Pachet, 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 | 2003 | 254 | |
| 2 | 2005 | 84 | |
| 3 | 2003 | 79 | |
| 4 | 1997 | 63 | |
| 5 | 2003 | 42 | |
| 6 | 2000 | 29 | |
| 7 | 2005 | 26 | |
| 8 | 2009 | 24 | |
| 9 | 2004 | 21 | |
| 10 | 2007 | 20 | |
| 11 | 2002 | 14 | |
| 12 | 2003 | 10 | |
| 13 | Representation of a medical expertise using the Smalltalk environment: putting a prototype to work | 1992 | 2 |
| 14 | 2004 | 2 | |
| 15 | Child/Computer interaction: observation in classroom setting. | 2004 | 1 |
| 16 | Sistemas musicais interactivos-reflexivos para a educação musical | 2007 | 0 |
| 17 | Musical style again: A mathematical analysis of musical intertext. | 2008 | 0 |
About F. Pachet
F. Pachet is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Artificial Intelligence and Education, having authored 17 papers that have together received 671 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Music Technology and Sound Studies (10 papers), Speech and Audio Processing (4 papers), Video Analysis and Summarization (3 papers), Neuroscience and Music Perception (2 papers), AI-based Problem Solving and Planning (1 paper), Diverse Music Education Insights (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Signal Processing (509 citations), Computer Vision and Pattern Recognition (434 citations), Music (49 citations), Cognitive Neuroscience (148 citations) and Developmental Biology (9 citations). F. Pachet has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Jean‐Julien Aucouturier, Pierre Roy, M. Sandler, Michel Dojat, Dominique Touchard, A. Harf, Olivier Delerue, Zahia Guessoum, Laurent Brochard and Fabien Gouyon. Their work appears in journals such as IEEE Multimedia, Artificial Intelligence in Medicine, IEEE Computer Graphics and Applications, IEEE Transactions on Audio Speech and Language Processing and Journal of New Music Research.
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.