F. Pachet

1.0k citations
15 papers · 760 · h-index 12

Impact in

Papers in

F. Pachet

13 papers receiving 636 citations

Peers

F. Pachet
Comparison fields: 5 of 70
  • Signal Processing 585
  • Computer Vision and Pattern Recognition 500
  • Music 49
  • Cognitive Neuroscience 166
  • Developmental Biology 10
Replace Andreas F. Ehmann with:
Andreas F. Ehmann United States
Adam Berenzweig United States
Mert Bay United States
Nicolas Wack Spain
Tim Pohle Austria
Ju-Chiang Wang Taiwan
Douglas Keislar United States
Siddharth Sigtia United Kingdom
Estefanía Cano Germany
Xiaoou Chen China
F. Pachet relative to Andreas F. Ehmann United States Andreas F. Ehmann's profile →
Citations per field
00.5×1.5×
Andreas F. Ehmann · 1×
Citations per year

Countries citing papers authored by F. Pachet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 12 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.

Border = papers with F. Pachet Line = papers co-authored together F. Pachet links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2003284
2 2005101
3 200390
4 199775
5 200344
6 200532
7 200030
8 200426
9 200923
10 200722
11 200216
12 200314
13
Representation of a medical expertise using the Smalltalk environment: putting a prototype to work
19922
14
Child/Computer interaction: observation in classroom setting.
20041
15
Sistemas musicais interactivos-reflexivos para a educação musical
20070

About F. Pachet

F. Pachet is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music and Urban Studies, having authored 15 papers that have together received 760 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Music Technology and Sound Studies (9 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), Technology Use by Older Adults (1 paper) and Music Education and Analysis (1 paper). The work is most often cited by research in Signal Processing (585 citations), Computer Vision and Pattern Recognition (500 citations), Music (49 citations), Cognitive Neuroscience (166 citations) and Developmental Biology (10 citations). F. Pachet has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Jean‐Julien Aucouturier, Pierre Roy, Mark B. Sandler, Michel Dojat, ALAIN HARF, Laurent Brochard, Dominique Touchard, Zahia Guessoum, Olivier Delerue and Gert Westermann. Their work appears in journals such as IEEE Multimedia, Artificial Intelligence in Medicine, Journal of New Music Research, IEEE Computer Graphics and Applications and IEEE Transactions on Audio Speech and Language 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.

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