Arnaud Guillin

5.3k total citations · 1 hit paper
92 papers, 2.6k citations indexed

About

Arnaud Guillin is a scholar working on Applied Mathematics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Arnaud Guillin has authored 92 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Applied Mathematics, 40 papers in Statistics and Probability and 27 papers in Mathematical Physics. Recurrent topics in Arnaud Guillin's work include Markov Chains and Monte Carlo Methods (37 papers), Geometric Analysis and Curvature Flows (29 papers) and Stochastic processes and statistical mechanics (20 papers). Arnaud Guillin is often cited by papers focused on Markov Chains and Monte Carlo Methods (37 papers), Geometric Analysis and Curvature Flows (29 papers) and Stochastic processes and statistical mechanics (20 papers). Arnaud Guillin collaborates with scholars based in France, China and United Kingdom. Arnaud Guillin's co-authors include Nicolas Fournier, Patrick Cattiaux, François Bolley, Liming Wu, Ivan Gentil, Hacène Djellout, Dominique Bakry, Randal Douc, Florent Malrieu and Andreas Eberle and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Arnaud Guillin

85 papers receiving 2.5k citations

Hit Papers

On the rate of convergence in Wasserstein distance of the... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arnaud Guillin France 25 979 906 644 583 481 92 2.6k
Nikolai Leonenko United Kingdom 26 490 0.5× 438 0.5× 542 0.8× 1.1k 2.0× 398 0.8× 199 2.7k
Giovanni Peccati Luxembourg 23 593 0.6× 772 0.9× 865 1.3× 702 1.2× 162 0.3× 83 1.9k
David Applebaum United Kingdom 15 817 0.8× 274 0.3× 721 1.1× 1.3k 2.2× 363 0.8× 64 2.9k
Daniel W. Stroock United States 30 1.0k 1.0× 1.1k 1.2× 1.8k 2.8× 1.4k 2.4× 514 1.1× 82 4.2k
В. И. Богачев Russia 28 1.7k 1.7× 482 0.5× 1.8k 2.9× 1.1k 1.9× 423 0.9× 226 3.9k
Enzo Orsingher Italy 25 735 0.8× 296 0.3× 630 1.0× 568 1.0× 382 0.8× 144 2.2k
Gérard Ben Arous United States 28 279 0.3× 1.1k 1.2× 1.2k 1.9× 353 0.6× 330 0.7× 86 2.8k
Michel Ledoux France 30 2.1k 2.2× 1.3k 1.4× 1.3k 2.0× 523 0.9× 260 0.5× 114 4.6k
René L. Schilling Germany 23 779 0.8× 258 0.3× 838 1.3× 936 1.6× 168 0.3× 106 2.2k
Christian Berg Denmark 25 1.6k 1.7× 350 0.4× 1.1k 1.7× 209 0.4× 313 0.7× 136 3.0k

Countries citing papers authored by Arnaud Guillin

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Guillin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Guillin

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Guillin. A scholar is included among the top collaborators of Arnaud Guillin 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 Arnaud Guillin. Arnaud Guillin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guillin, Arnaud, et al.. (2025). Long-Time Analysis of a Pair of On-lattice and Continuous Run-and-tumble Particles with Jamming Interactions. Journal of Statistical Physics. 192(9).
2.
Guillin, Arnaud, et al.. (2024). Quasi-stationary distribution for strongly Feller Markov processes by Lyapunov functions and applications to hypoelliptic Hamiltonian systems. Journal of the European Mathematical Society. 26(8). 3047–3090. 2 indexed citations
3.
Dequidt, Alain, et al.. (2024). ML-GLE: A machine learning enhanced Generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics. Journal of Computational Physics. 514. 113210–113210. 1 indexed citations
4.
Guillin, Arnaud, et al.. (2023). On systems of particles in singular repulsive interaction in dimension one: log and Riesz gas. HAL (Le Centre pour la Communication Scientifique Directe). 10. 867–916. 8 indexed citations
5.
Azzaoui, Nourddine, Olivier Roche, Pablo Samaniego, et al.. (2022). Tephra Fallout Probabilistic Hazard Maps for Cotopaxi and Guagua Pichincha Volcanoes (Ecuador) With Uncertainty Quantification. Journal of Geophysical Research Solid Earth. 127(2). 15 indexed citations
6.
Guillin, Arnaud & Pierre Monmarché. (2020). Uniform long-time and propagation of chaos estimates for mean field kinetic particles in non-convex landscapes. arXiv (Cornell University). 2 indexed citations
7.
Gouhier, Mathieu, et al.. (2019). Low efficiency of large volcanic eruptions in transporting very fine ash into the atmosphere. Scientific Reports. 9(1). 1449–1449. 42 indexed citations
8.
Eberle, Andreas, et al.. (2016). Quantitative Harris type theorems for diffusions and McKean-Vlasov\n processes. arXiv (Cornell University). 75 indexed citations
9.
Cattiaux, Patrick & Arnaud Guillin. (2016). Hitting times, functional inequalities, lyapunov conditions and uniform\n ergodicity. arXiv (Cornell University). 10 indexed citations
10.
Fournier, Nicolas & Arnaud Guillin. (2013). On the rate of convergence in Wasserstein distance of the empirical\n measure. arXiv (Cornell University). 483 indexed citations breakdown →
11.
Guillin, Arnaud & Feng‐Yu Wang. (2012). Degenerate Fokker–Planck equations: Bismut formula, gradient estimate and Harnack inequality. Journal of Differential Equations. 253(1). 20–40. 54 indexed citations
12.
Moulines, Éric, Arnaud Guillin, & Randal Douc. (2010). Bounds on Regeneration Times and Limit Theorems for Subgeometric Markov Chains. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 8 indexed citations
13.
Cattiaux, Patrick, Arnaud Guillin, Feng‐Yu Wang, & Liming Wu. (2009). Lyapunov conditions for Super Poincaré inequalities. Journal of Functional Analysis. 256(6). 1821–1841. 32 indexed citations
14.
Douc, Randal, et al.. (2007). Adaptive importance sampling in general mixture classes. 116 indexed citations
15.
Bakry, Dominique, Patrick Cattiaux, & Arnaud Guillin. (2007). Rate of convergence for ergodic continuous Markov processes: Lyapunov versus Poincaré. Journal of Functional Analysis. 254(3). 727–759. 133 indexed citations
16.
Cattiaux, Patrick & Arnaud Guillin. (2006). On quadratic transportation cost inequalities. Journal de Mathématiques Pures et Appliquées. 86(4). 342–361. 36 indexed citations
17.
Guillin, Arnaud, Jean‐Michel Marin, & Christian P. Robert. (2005). Estimation bayésienne approximative par échantillonnage préférentiel. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 53(1). 79–95.
18.
Guillin, Arnaud. (2001). Moderate deviations of inhomogeneous functionals of Markov processes and application to averaging. Stochastic Processes and their Applications. 92(2). 287–313. 19 indexed citations
19.
Djellout, Hacène & Arnaud Guillin. (2001). Moderate deviations for Markov chains with atom. Stochastic Processes and their Applications. 95(2). 203–217. 19 indexed citations
20.
Guillin, Arnaud. (2000). Uniform moderate deviations of functional empirical processes of Markov chains. 7 indexed citations

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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