Laurent Vuillon

1.1k citations
54 papers · 490 · h-index 14

Impact in

Papers in

Laurent Vuillon

50 papers receiving 467 citations

Peers

Laurent Vuillon
Comparison fields: 5 of 71
  • Computational Theory and Mathematics 316
  • Mathematical Physics 75
  • Discrete Mathematics and Combinatorics 19
  • Artificial Intelligence 140
  • Computer Graphics and Computer-Aided Design 12
Replace Maurice Margenstern with:
Maurice Margenstern France
Vidit Nanda United States
Valérie Berthé France
N. Pytheas Fogg France
Jonathan Ashley United States
Pierre Arnoux France
Michael Lesnick United States
Danijela Horak Germany
Michael Fuchs Taiwan
Christopher Hoffman United States
Laurent Vuillon relative to Maurice Margenstern France Maurice Margenstern's profile →
Citations per field
00.5×4.1×
Maurice Margenstern · 1×
Citations per year

Countries citing papers authored by Laurent Vuillon

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Vuillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laurent Vuillon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laurent Vuillon Line = papers co-authored together Laurent Vuillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200149
2 200047
3 200045
4 201541
5 201928
6 199819
7 201517
8 200317
9 200117
10 202216
11 201815
12 200013
13 201113
14 200213
15 199911
16 20079
17 20069
18 20018
19 20078
20 20217

About Laurent Vuillon

Laurent Vuillon is a scholar working on Computational Theory and Mathematics, Molecular Biology, Artificial Intelligence, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 490 indexed citations. Recurring topics across this work include semigroups and automata theory (23 papers), Protein Structure and Dynamics (10 papers), Cellular Automata and Applications (9 papers), Algorithms and Data Compression (7 papers), Digital Image Processing Techniques (7 papers), Mathematical Dynamics and Fractals (7 papers), Bioinformatics and Genomic Networks (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computational Theory and Mathematics (316 citations), Mathematical Physics (75 citations), Discrete Mathematics and Combinatorics (19 citations), Artificial Intelligence (140 citations) and Computer Graphics and Computer-Aided Design (12 citations). Laurent Vuillon has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Valérie Berthé, Claire Lesieur, Jacques Justin, Srečko Brlek, Ivan Rivalta, Andrea Frosini, Víctor S. Batista, Giovanni Feverati, Jérémy Alexandre and Clémence Magnien. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, The Electronic Journal of Combinatorics, PLoS ONE and Physical Chemistry Chemical Physics.

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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