F. Pachet
Impact in
- Signal Processing top 1%
- Music and Audio Processing
- Speech and Audio Processing
-
- 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)Fabien Gouyon (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)Journal of New Music Research (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- FranceJapanUnited Kingdom
In The Last Decade
F. Pachet
14 papers receiving 542 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 507
- Computer Vision and Pattern Recognition 433
- Music 47
- Cognitive Neuroscience 147
- 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 | 250 | |
| 2 | 2005 | 84 | |
| 3 | 2003 | 78 | |
| 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 | Musical style again: A mathematical analysis of musical intertext. | 2008 | 0 |
| 17 | Sistemas musicais interactivos-reflexivos para a educação musical | 2007 | 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 666 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (10 papers), Music and Audio Processing (10 papers), Speech and Audio Processing (4 papers), Video Analysis and Summarization (3 papers), Neuroscience and Music Perception (2 papers), Semantic Web and Ontologies (1 paper), Caching and Content Delivery (1 paper) and Educational Tools and Methods (1 paper). The work is most often cited by research in Signal Processing (507 citations), Computer Vision and Pattern Recognition (433 citations), Music (47 citations), Cognitive Neuroscience (147 citations) and Developmental Biology (9 citations). F. Pachet has collaborated with scholars based in France, Japan and United Kingdom. Frequent co-authors include Jean‐Julien Aucouturier, Pierre Roy, M. Sandler, Michel Dojat, Fabien Gouyon, A. Harf, Olivier Delerue, Zahia Guessoum, Dominique Touchard and Laurent Brochard. Their work appears in journals such as IEEE Multimedia, Artificial Intelligence in Medicine, Journal of New Music Research, IEEE Transactions on Multimedia and IEEE Computer Graphics and Applications.
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.