Joël Bény

10 total papers · 520 total citations
4 papers, 342 citations indexed

About

Joël Bény is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joël Bény has authored 4 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joël Bény's work include Lattice Boltzmann Simulation Studies (4 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Joël Bény is often cited by papers focused on Lattice Boltzmann Simulation Studies (4 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Joël Bény collaborates with scholars based in Switzerland and Canada. Joël Bény's co-authors include Jonas Lätt, Christophe Coreixas, Andrea Parmigiani, Christos Kotsalos, Bastien Chopard, Daniel Lagrava, Sha Li, Federico Brogi, Rémy Petkantchin and Franck Raynaud and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Computers & Mathematics with Applications.

In The Last Decade

Joël Bény

4 papers receiving 333 citations

Hit Papers

Palabos: Parallel Lattice... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Joël Bény 258 112 59 42 41 4 342
Yann Thorimbert 244 0.9× 108 1.0× 45 0.8× 34 0.8× 59 1.4× 7 331
Federico Brogi 212 0.8× 95 0.8× 51 0.9× 32 0.8× 45 1.1× 9 315
Christos Kotsalos 214 0.8× 93 0.8× 40 0.7× 34 0.8× 41 1.0× 7 319
Jonathan Lemus 186 0.7× 81 0.7× 34 0.6× 30 0.7× 48 1.2× 8 313
Andreas Michler 308 1.2× 150 1.3× 57 1.0× 16 0.4× 10 0.2× 7 342
Marc Haussmann 258 1.0× 139 1.2× 55 0.9× 16 0.4× 12 0.3× 13 305
S. Geller 308 1.2× 156 1.4× 50 0.8× 15 0.4× 11 0.3× 7 345
Maximilian Gaedtke 246 1.0× 125 1.1× 46 0.8× 20 0.5× 9 0.2× 13 343
Daryl Grunau 306 1.2× 139 1.2× 32 0.5× 18 0.4× 23 0.6× 7 383
Peter Lammers 311 1.2× 116 1.0× 20 0.3× 35 0.8× 25 0.6× 11 362

Countries citing papers authored by Joël Bény

Since Specialization
Citations

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

Fields of papers citing papers by Joël Bény

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joël Bény

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