Guy Louchard

1.9k citations
121 papers · 1.2k · h-index 16

Impact in

Papers in

Guy Louchard

114 papers receiving 1.1k citations

Peers

Guy Louchard
Comparison fields: 5 of 60
  • Discrete Mathematics and Combinatorics 310
  • Mathematical Physics 555
  • Statistics and Probability 202
  • Computational Theory and Mathematics 302
  • Artificial Intelligence 499
Replace Michael Drmota with:
Michael Drmota Austria
James Allen Fill United States
Hsien‐Kuei Hwang Taiwan
Hosam M. Mahmoud United States
Louis H. Y. Chen Singapore
Louis Gordon United States
Gilles Schaeffer France
Alexander Gnedin Netherlands
Helmut Prodinger South Africa
Peter Kirschenhofer Austria
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Citations per field
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Citations per year

Countries citing papers authored by Guy Louchard

Since Specialization
Citations

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

Fields of papers citing papers by Guy Louchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guy Louchard, 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 Guy Louchard Line = papers co-authored together Guy Louchard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004151
2 198473
3 198452
4 198748
5 199545
6 200141
7
Probability theory and computer science
198341
8 200237
9 200136
10 198731
11 200624
12 197624
13
The Number of Inversions in Permutations: A Saddle Point Approach
200318
14 199117
15 199417
16 198617
17
Mouvement brownien et valeurs propres du laplacien
196815
18 200515
19 200715
20 197815

About Guy Louchard

Guy Louchard is a scholar working on Artificial Intelligence, Mathematical Physics, Discrete Mathematics and Combinatorics, Statistics and Probability and Computer Networks and Communications, having authored 121 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (37 papers), Algorithms and Data Compression (37 papers), Advanced Combinatorial Mathematics (28 papers), Data Management and Algorithms (17 papers), Mathematical Dynamics and Fractals (12 papers), Bayesian Methods and Mixture Models (11 papers), semigroups and automata theory (11 papers) and Markov Chains and Monte Carlo Methods (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (310 citations), Mathematical Physics (555 citations), Statistics and Probability (202 citations), Computational Theory and Mathematics (302 citations) and Artificial Intelligence (499 citations). Guy Louchard has collaborated with scholars based in Belgium, France and South Africa. Frequent co-authors include Helmut Prodinger, Philippe Flajolet, Philippe Duchon, Gilles Schaeffer, Guy Latouche, Wojciech Szpankowski, René Schott, Philippe Chassaing, F. Thomas Bruss and Paweł Hitczenko. Their work appears in journals such as Journal of Applied Probability, Discrete Mathematics & Theoretical Computer Science, Theoretical Computer Science, Random Structures and Algorithms and Advances in Applied Probability.

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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