François Bonnet

81 total papers · 774 total citations
28 papers, 171 citations indexed

About

François Bonnet is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, François Bonnet has authored 28 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in François Bonnet's work include Distributed systems and fault tolerance (17 papers), Optimization and Search Problems (15 papers) and Age of Information Optimization (4 papers). François Bonnet is often cited by papers focused on Distributed systems and fault tolerance (17 papers), Optimization and Search Problems (15 papers) and Age of Information Optimization (4 papers). François Bonnet collaborates with scholars based in France, Japan and Sweden. François Bonnet's co-authors include Xavier Défago, Michel Raynal, Hideaki Ishii, Yuan Wang, Nak Young Chong, Keisuke Okumura, Thanh Dang Nguyen, Yasumasa Tamura, Maria Potop-Butucaru and Roberto Baldoni and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Transactions on Parallel and Distributed Systems and Theoretical Computer Science.

In The Last Decade

François Bonnet

26 papers receiving 165 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 Bonnet 124 31 25 18 13 28 171
Hanjo Täubig 63 0.5× 35 1.1× 21 0.8× 42 2.3× 10 0.8× 20 185
Robert Ghanea‐Hercock 138 1.1× 28 0.9× 75 3.0× 20 1.1× 17 1.3× 29 194
Jianan Zhang 85 0.7× 11 0.4× 23 0.9× 11 0.6× 7 0.5× 22 200
Hiroshi Hosobe 39 0.3× 34 1.1× 41 1.6× 8 0.4× 7 0.5× 39 138
Jiang Zhong 45 0.4× 42 1.4× 93 3.7× 11 0.6× 15 1.2× 34 195
Steve Poole 171 1.4× 16 0.5× 19 0.8× 4 0.2× 6 0.5× 20 221
Yinan Tang 55 0.4× 54 1.7× 49 2.0× 7 0.4× 14 1.1× 22 194
Jens Volkert 100 0.8× 22 0.7× 9 0.4× 8 0.4× 3 0.2× 42 183
Matthieu Roy 72 0.6× 9 0.3× 42 1.7× 18 1.0× 7 0.5× 26 152
Zorana Banković 143 1.2× 11 0.4× 90 3.6× 19 1.1× 5 0.4× 29 208

Countries citing papers authored by François Bonnet

Since Specialization
Citations

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

Fields of papers citing papers by François Bonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Bonnet

This figure shows the co-authorship network connecting the top 25 collaborators of François Bonnet. A scholar is included among the top collaborators of François Bonnet 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 Bonnet. François Bonnet 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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