Brigitte Vallée

935 citations
54 papers · 650 · h-index 15

Impact in

Papers in

Brigitte Vallée

53 papers receiving 594 citations

Peers

Brigitte Vallée
Comparison fields: 5 of 38
  • Mathematical Physics 283
  • Discrete Mathematics and Combinatorics 75
  • Algebra and Number Theory 76
  • Computational Theory and Mathematics 270
  • Artificial Intelligence 336
Replace Pierre Liardet with:
Pierre Liardet France
Julien Cassaigne France
Peter Kirschenhofer Austria
Neil J. Calkin United States
Michèle Soria France
John Knopfmacher South Africa
Yuri Matiyasevich Russia
Arnold Knopfmacher South Africa
Robert Cori France
Gilbert Stengle United States
Brigitte Vallée relative to Pierre Liardet France Pierre Liardet's profile →
Citations per field
00.5×2×3.3×
Pierre Liardet · 1×
Citations per year

Countries citing papers authored by Brigitte Vallée

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Vallée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Brigitte Vallée, 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 Brigitte Vallée Line = papers co-authored together Brigitte Vallée 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 200466
2 200149
3 199442
4 199839
5 200437
6 199736
7 200330
8 200626
9 199823
10 201023
11 200922
12 199719
13 200018
14 200616
15 199015
16 199814
17 200114
18 200014
19 200213
20 200012

About Brigitte Vallée

Brigitte Vallée is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Artificial Intelligence, Discrete Mathematics and Combinatorics and Applied Mathematics, having authored 54 papers that have together received 650 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (27 papers), Algorithms and Data Compression (16 papers), semigroups and automata theory (12 papers), Computability, Logic, AI Algorithms (11 papers), Coding theory and cryptography (9 papers), Advanced Combinatorial Mathematics (7 papers), Cellular Automata and Applications (6 papers) and Numerical Methods and Algorithms (4 papers). The work is most often cited by research in Mathematical Physics (283 citations), Discrete Mathematics and Combinatorics (75 citations), Algebra and Number Theory (76 citations), Computational Theory and Mathematics (270 citations) and Artificial Intelligence (336 citations). Brigitte Vallée has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Viviane Baladi, Philippe Flajolet, Hervé Daudé, Julien Clément, Benoît Daireaux, Wojciech Szpankowski, Jérémie Bourdon, James Allen Fill, Marc Girault and Yves Guivarc’h. Their work appears in journals such as Discrete Mathematics & Theoretical Computer Science, Combinatorics Probability Computing, Algorithmica, Journal of Number Theory and Acta Arithmetica.

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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