Béatrice Bérard

123 total papers · 1.9k total citations
31 papers, 759 citations indexed

About

Béatrice Bérard is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software. According to data from OpenAlex, Béatrice Bérard has authored 31 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 10 papers in Software. Recurrent topics in Béatrice Bérard's work include Formal Methods in Verification (22 papers), Petri Nets in System Modeling (12 papers) and Logic, programming, and type systems (9 papers). Béatrice Bérard is often cited by papers focused on Formal Methods in Verification (22 papers), Petri Nets in System Modeling (12 papers) and Logic, programming, and type systems (9 papers). Béatrice Bérard collaborates with scholars based in France, Canada and Algeria. Béatrice Bérard's co-authors include Antoine Petit, François Laroussinie, Michel Bidoit, Laure Petrucci, Ph. Schnoebelen, Alain Finkel, Philippe Schnoebelen, Pierre McKenzie, Alain Finkel and Paul Gastin and has published in prestigious journals such as International Journal of Production Research, Theoretical Computer Science and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Béatrice Bérard

28 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
Béatrice Bérard 521 257 247 171 153 31 759
Ph. Schnoebelen 672 1.3× 397 1.5× 287 1.2× 149 0.9× 99 0.6× 26 879
François Laroussinie 483 0.9× 327 1.3× 261 1.1× 114 0.7× 104 0.7× 27 701
Michel Bidoit 526 1.0× 485 1.9× 279 1.1× 138 0.8× 105 0.7× 36 842
Jonathan S. Ostroff 650 1.2× 267 1.0× 284 1.1× 154 0.9× 291 1.9× 44 889
Ursula Goltz 364 0.7× 386 1.5× 214 0.9× 178 1.0× 76 0.5× 60 726
Thierry Jéron 399 0.8× 176 0.7× 438 1.8× 140 0.8× 71 0.5× 35 703
Gerd Behrmann 363 0.7× 160 0.6× 209 0.8× 292 1.7× 129 0.8× 31 726
Mark Trakhtenbrot 339 0.7× 282 1.1× 340 1.4× 92 0.5× 232 1.5× 17 775
Alexandre David 493 0.9× 223 0.9× 361 1.5× 121 0.7× 208 1.4× 50 816
Radu Mateescu 409 0.8× 272 1.1× 248 1.0× 153 0.9× 113 0.7× 50 782

Countries citing papers authored by Béatrice Bérard

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Bérard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrice Bérard

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