François Bérard

97 total papers · 1.8k total citations
25 papers, 866 citations indexed

About

François Bérard is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, François Bérard has authored 25 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Human-Computer Interaction, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in François Bérard's work include Interactive and Immersive Displays (11 papers), Gaze Tracking and Assistive Technology (6 papers) and Tactile and Sensory Interactions (6 papers). François Bérard is often cited by papers focused on Interactive and Immersive Displays (11 papers), Gaze Tracking and Assistive Technology (6 papers) and Tactile and Sensory Interactions (6 papers). François Bérard collaborates with scholars based in France, United States and Burundi. François Bérard's co-authors include James L. Crowley, Nuria Oliver, Alex Pentland, Joëlle Coutaz, Amélie Rochet‐Capellan, Louis Thibault, Pascal Perrier, Françoise Bouchet, Tobias Kluge and Matthias Wölfel and has published in prestigious journals such as Communications of the ACM, Experimental Brain Research and Pattern Recognition.

In The Last Decade

François Bérard

21 papers receiving 748 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
François Bérard 541 513 221 79 61 25 866
Benjamin Poppinga 227 0.4× 532 1.0× 311 1.4× 67 0.8× 39 0.6× 29 844
Ismo Rakkolainen 401 0.7× 527 1.0× 351 1.6× 25 0.3× 74 1.2× 53 1.0k
Anna Maria Feit 382 0.7× 773 1.5× 382 1.7× 45 0.6× 58 1.0× 25 1.0k
Martin Naef 499 0.9× 351 0.7× 117 0.5× 35 0.4× 56 0.9× 28 724
Erroll Wood 371 0.7× 584 1.1× 113 0.5× 94 1.2× 14 0.2× 14 804
Thiago Santini 240 0.4× 630 1.2× 200 0.9× 30 0.4× 24 0.4× 33 996
Dean Rubine 406 0.8× 637 1.2× 298 1.3× 79 1.0× 84 1.4× 18 946
Shinjiro Kawato 465 0.9× 326 0.6× 117 0.5× 40 0.5× 27 0.4× 28 872
Naoki Mukawa 354 0.7× 450 0.9× 114 0.5× 54 0.7× 78 1.3× 76 925
Kai Nickel 442 0.8× 379 0.7× 106 0.5× 245 3.1× 123 2.0× 19 915

Countries citing papers authored by François Bérard

Since Specialization
Citations

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

Fields of papers citing papers by François Bérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Bérard

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

All Works

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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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