Bénédicte Haas

51 total papers · 643 total citations
21 papers, 274 citations indexed

About

Bénédicte Haas is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability. According to data from OpenAlex, Bénédicte Haas has authored 21 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mathematical Physics, 11 papers in Condensed Matter Physics and 10 papers in Statistics and Probability. Recurrent topics in Bénédicte Haas's work include Stochastic processes and statistical mechanics (18 papers), Theoretical and Computational Physics (11 papers) and Markov Chains and Monte Carlo Methods (10 papers). Bénédicte Haas is often cited by papers focused on Stochastic processes and statistical mechanics (18 papers), Theoretical and Computational Physics (11 papers) and Markov Chains and Monte Carlo Methods (10 papers). Bénédicte Haas collaborates with scholars based in France, United Kingdom and Burundi. Bénédicte Haas's co-authors include Grégory Miermont, Jim Pitman, Matthias Winkel, Nicolas Curien, Christina Goldschmidt, Víctor M. Hernández Rivero, Igor Kortchemski, Jean Bertoin and Julien Berestycki and has published in prestigious journals such as The Annals of Probability, Probability Theory and Related Fields and Stochastic Processes and their Applications.

In The Last Decade

Bénédicte Haas

20 papers receiving 254 citations

Author Peers

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

Author Last Decade Papers Cites
Bénédicte Haas 251 102 100 50 36 21 274
H. Hering 207 0.8× 53 0.5× 90 0.9× 30 0.6× 60 1.7× 19 240
Brigitte Chauvin 205 0.8× 81 0.8× 63 0.6× 46 0.9× 58 1.6× 15 246
Daniel Remenik 183 0.7× 79 0.8× 168 1.7× 31 0.6× 15 0.4× 21 251
Thomas Duquesne 309 1.2× 121 1.2× 135 1.4× 37 0.7× 53 1.5× 20 326
Anita Winter 194 0.8× 43 0.4× 79 0.8× 27 0.5× 20 0.6× 14 235
Benedek Valkó 219 0.9× 62 0.6× 165 1.6× 20 0.4× 24 0.7× 25 266
Steven Kalikow 238 0.9× 35 0.3× 71 0.7× 22 0.4× 17 0.5× 17 280
Nikos Zygouras 278 1.1× 134 1.3× 217 2.2× 19 0.4× 59 1.6× 24 314
Nathanaël Enriquez 151 0.6× 46 0.5× 89 0.9× 13 0.3× 48 1.3× 30 205
Augusto Teixeira 292 1.2× 139 1.4× 202 2.0× 11 0.2× 17 0.5× 26 310

Countries citing papers authored by Bénédicte Haas

Since Specialization
Citations

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

Fields of papers citing papers by Bénédicte Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bénédicte Haas

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