Brigitte Vallée

916 citations
39 papers · 391 · h-index 12

Impact in

Papers in

Brigitte Vallée

36 papers receiving 351 citations

Peers

Brigitte Vallée
Comparison fields: 5 of 36
  • Mathematical Physics 205
  • Discrete Mathematics and Combinatorics 47
  • Algebra and Number Theory 57
  • Computational Theory and Mathematics 136
  • Geometry and Topology 51
Replace Pierre Liardet with:
Pierre Liardet France
Carlos Gustavo Moreira Brazil
Yuri Matiyasevich Russia
Julien Cassaigne France
Neil J. Calkin United States
Anthony Quas United States
Frédéric Chyzak France
Hugh C. Williams Canada
John Knopfmacher South Africa
Imre Kátai Hungary
Brigitte Vallée relative to Pierre Liardet France Pierre Liardet's profile →
Citations per field
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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 15 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200450
2 200135
3 200433
4 199832
5 199430
6 200323
7 199723
8 200620
9 199817
10 201016
11 200015
12 200611
13 199711
14 200610
15 19989
16 20029
17 19896
18
Dynamical analysis of ! -Euclidean algorithms
20026
19 20075
20 20144

About Brigitte Vallée

Brigitte Vallée is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Artificial Intelligence, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 39 papers that have together received 391 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (20 papers), Algorithms and Data Compression (10 papers), Computability, Logic, AI Algorithms (9 papers), semigroups and automata theory (6 papers), Coding theory and cryptography (5 papers), Cellular Automata and Applications (4 papers), Advanced Combinatorial Mathematics (4 papers) and Topological and Geometric Data Analysis (3 papers). The work is most often cited by research in Mathematical Physics (205 citations), Discrete Mathematics and Combinatorics (47 citations), Algebra and Number Theory (57 citations), Computational Theory and Mathematics (136 citations) and Geometry and Topology (51 citations). Brigitte Vallée has collaborated with scholars based in France, Argentina and Austria. Frequent co-authors include Viviane Baladi, Philippe Flajolet, Hervé Daudé, Julien Clément, Benoît Daireaux, Wojciech Szpankowski, Jérémie Bourdon, Viviane Baladi, H. Laville and Véronique Maume‐Deschamps. Their work appears in journals such as Discrete Mathematics & Theoretical Computer Science, Combinatorics Probability Computing, Algorithmica, Theoretical Computer Science 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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