François Chollet

34.2k total citations · 8 hit papers
128 papers, 22.0k citations indexed

About

François Chollet is a scholar working on Neurology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, François Chollet has authored 128 papers receiving a total of 22.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Neurology, 33 papers in Cognitive Neuroscience and 32 papers in Neurology. Recurrent topics in François Chollet's work include Stroke Rehabilitation and Recovery (31 papers), Transcranial Magnetic Stimulation Studies (25 papers) and Acute Ischemic Stroke Management (17 papers). François Chollet is often cited by papers focused on Stroke Rehabilitation and Recovery (31 papers), Transcranial Magnetic Stimulation Studies (25 papers) and Acute Ischemic Stroke Management (17 papers). François Chollet collaborates with scholars based in France, United States and United Kingdom. François Chollet's co-authors include R. S. J. Frackowiak, Richard G. Wise, Isabelle Loubinoux, Karl Friston, Olivier Rascol, Jérémie Pariente, Vittorio Di Piero, A Rascol, Raymond J. Dolan and Jean–Luc Nespoulous and has published in prestigious journals such as Circulation, PLoS ONE and NeuroImage.

In The Last Decade

François Chollet

124 papers receiving 21.2k citations

Hit Papers

Xception: Deep Learn... 1991 2026 2002 2014 2017 1992 1991 1991 1992 4.0k 8.0k 12.0k

Peers

François Chollet
Comparison fields: 5 of 225
  • Computer Vision and Pattern Recognition 6.1k
  • Cognitive Neuroscience 4.6k
  • Artificial Intelligence 3.8k
  • Radiology, Nuclear Medicine and Imaging 3.2k
  • Neurology 2.9k
Replace James C. Gee with:
James C. Gee United States
Wiro J. Niessen Netherlands
Jean‐Philippe Thiran Switzerland
Michael Brady United Kingdom
Ron Kikinis United States
Li Wang China
Max A. Viergever Netherlands
Christos Davatzikos United States
Guido Gerig United States
Daniel Rueckert United Kingdom
James C. Gee United States View profile →
Citations per field, relative to François Chollet
François Chollet · 1×
Citations per year, relative to François Chollet
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Countries citing papers authored by François Chollet

Since Specialization
Citations

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

Fields of papers citing papers by François Chollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Chollet

This figure shows the co-authorship network connecting the top 25 collaborators of François Chollet. A scholar is included among the top collaborators of François Chollet 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 François Chollet. François Chollet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 11
3 16
4
Deep learning with Python breakdown →
520
5
Deep Learning with R
61
6
Keras: The Python Deep Learning library breakdown →
596
7
DeepMath - Deep Sequence Models for Premise Selection
15
8
Deep Learning with Separable Convolutions
7
9 3
10 0
11 10
12 3
13 1
14 38
15 92
16 31
17 87
18 328
19 3
20 16

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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