François Pachet

78 papers and 1.1k indexed citations i.

About

François Pachet is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, François Pachet has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Signal Processing, 50 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in François Pachet’s work include Music and Audio Processing (50 papers), Music Technology and Sound Studies (49 papers) and Neuroscience and Music Perception (13 papers). François Pachet is often cited by papers focused on Music and Audio Processing (50 papers), Music Technology and Sound Studies (49 papers) and Neuroscience and Music Perception (13 papers). François Pachet collaborates with scholars based in France, Japan and Taiwan. François Pachet's co-authors include Jean‐Julien Aucouturier, Pierre Roy, Anna Rita Addessi, Jean-Pierre Briot, Eduardo G. Altmann, Mirko Degli Esposti, Gaëtan Hadjeres, Olivier Delerue, Csaba Molnár and Péter Pongrácz and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of François Pachet i

Fields of papers citing papers by François Pachet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François 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 François Pachet. The network helps show where François Pachet may publish in the future.

Countries citing papers authored by François Pachet

Since Specialization
Citations

This map shows the geographic impact of François 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 François Pachet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Pachet more than expected).

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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