Patrick Cattiaux

2.4k citations
53 papers · 1.1k · h-index 19

Impact in

Papers in

Patrick Cattiaux

51 papers receiving 1.1k citations

Peers

Patrick Cattiaux
Comparison fields: 5 of 73
  • Statistics and Probability 404
  • Applied Mathematics 509
  • Mathematical Physics 436
  • Finance 233
  • Statistical and Nonlinear Physics 230
Replace Mu-Fa Chen with:
Mu-Fa Chen China
Ivan Gentil France
Shigeo Kusuoka Japan
Massimiliano Gubinelli France
Yuri G. Kondratiev Germany
Dominique Bakry France
Tadahisa Funaki Japan
Jürgen Gärtner Germany
Krzysztof Burdzy United States
Giambattista Giacomin France
Patrick Cattiaux relative to Mu-Fa Chen China Mu-Fa Chen's profile →
Citations per field
00.5×6.4×
Mu-Fa Chen · 1×
Citations per year

Countries citing papers authored by Patrick Cattiaux

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Cattiaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 200899
3 200797
4 200976
5 200667
6 200937
7 200636
8 200935
9 200733
10 200932
11 200730
12
200529
13 199427
14 201827
15 200226
16 199625
17 201324
18 200722
19 201019
20 200518

About Patrick Cattiaux

Patrick Cattiaux is a scholar working on Statistics and Probability, Applied Mathematics, Mathematical Physics, Finance and Computational Theory and Mathematics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (20 papers), Geometric Analysis and Curvature Flows (14 papers), Stochastic processes and financial applications (11 papers), Nonlinear Partial Differential Equations (9 papers), Stochastic processes and statistical mechanics (9 papers), Point processes and geometric inequalities (8 papers), Mathematical Dynamics and Fractals (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). The work is most often cited by research in Statistics and Probability (404 citations), Applied Mathematics (509 citations), Mathematical Physics (436 citations), Finance (233 citations) and Statistical and Nonlinear Physics (230 citations). Patrick Cattiaux has collaborated with scholars based in France, Venezuela and Lebanon. Frequent co-authors include Arnaud Guillin, Dominique Bakry, Cyril Roberto, Franck Barthe, Florent Malrieu, Sylvie Méléard, Liming Wu, Christian Léonard, M.F. Barthe and Amaury Lambert. Their work appears in journals such as Probability Theory and Related Fields, Stochastic Processes and their Applications, Journal of Functional Analysis, Annales de l Institut Henri Poincaré Probabilités et Statistiques and Bernoulli.

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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