Pierre Monmarché

861 total citations
48 papers, 425 citations indexed

About

Pierre Monmarché is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Pierre Monmarché has authored 48 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 18 papers in Statistics and Probability and 13 papers in Mathematical Physics. Recurrent topics in Pierre Monmarché's work include Markov Chains and Monte Carlo Methods (18 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers) and Stochastic processes and statistical mechanics (12 papers). Pierre Monmarché is often cited by papers focused on Markov Chains and Monte Carlo Methods (18 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers) and Stochastic processes and statistical mechanics (12 papers). Pierre Monmarché collaborates with scholars based in France, United States and Switzerland. Pierre Monmarché's co-authors include Arnaud Guillin, Jean‐Philip Piquemal, Ludovic Goudenège, Fabio Pietrucci, Benjamin Rotenberg, Louis Lagardère, Olivier Adjoua, Alain Durmus, Patrick Cattiaux and Pengyu Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Chemical Science.

In The Last Decade

Pierre Monmarché

38 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Monmarché France 14 167 109 107 75 72 48 425
A. Pellegrinotti Italy 13 208 1.2× 91 0.8× 31 0.3× 46 0.6× 308 4.3× 42 482
Vladimir Al. Osipov Israel 10 81 0.5× 25 0.2× 29 0.3× 42 0.6× 254 3.5× 20 404
Frank Redig Netherlands 14 270 1.6× 270 2.5× 54 0.5× 19 0.3× 449 6.2× 60 679
J. A. Méndez‐Bermúdez Mexico 16 547 3.3× 62 0.6× 25 0.2× 17 0.2× 46 0.6× 100 818
Christophe Texier France 15 303 1.8× 96 0.9× 20 0.2× 28 0.4× 158 2.2× 47 766
Yvan Velenik Switzerland 10 78 0.5× 233 2.1× 19 0.2× 22 0.3× 292 4.1× 32 437
Klas Markström Sweden 14 94 0.6× 79 0.7× 19 0.2× 11 0.1× 107 1.5× 69 585
Roberto Fernández Netherlands 15 228 1.4× 305 2.8× 44 0.4× 37 0.5× 487 6.8× 36 901
P. Białas Poland 13 276 1.7× 31 0.3× 18 0.2× 10 0.1× 91 1.3× 47 531
G. N. Ord Canada 15 523 3.1× 19 0.2× 78 0.7× 21 0.3× 116 1.6× 56 675

Countries citing papers authored by Pierre Monmarché

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Monmarché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Monmarché

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Monmarché. A scholar is included among the top collaborators of Pierre Monmarché 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 Pierre Monmarché. Pierre Monmarché 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.
Monmarché, Pierre, et al.. (2025). Logarithmic Sobolev Inequalities for Non-equilibrium Steady States. Potential Analysis. 63(3). 1381–1405.
2.
Lagardère, Louis, et al.. (2025). Velocity Jumps for Molecular Dynamics. Journal of Chemical Theory and Computation. 21(6). 2854–2866.
3.
Monmarché, Pierre, et al.. (2025). HMC and Underdamped Langevin United in the Unadjusted Convex Smooth Case. SIAM/ASA Journal on Uncertainty Quantification. 13(1). 278–303.
4.
Monmarché, Pierre, et al.. (2025). Transient Subtraction: A Control Variate Method for Computing Transport Coefficients. Journal of Statistical Physics. 192(4).
5.
Henriet, Loïc, et al.. (2024). Leveraging analog quantum computing with neutral atoms for solvent configuration prediction in drug discovery. Physical Review Research. 6(4). 4 indexed citations
6.
Durmus, Alain, et al.. (2024). Discrete sticky couplings of functional autoregressive processes. The Annals of Applied Probability. 34(6).
7.
Guillin, Arnaud, et al.. (2024). Uniform in time propagation of chaos for the 2D vortex model and other singular stochastic systems. Journal of the European Mathematical Society. 27(6). 2359–2386. 16 indexed citations
8.
Guillin, Arnaud, et al.. (2024). Some remarks on the effect of the Random Batch Method on phase transition. Stochastic Processes and their Applications. 179. 104498–104498. 1 indexed citations
9.
Monmarché, Pierre. (2023). Wasserstein contraction and Poincaré inequalities for elliptic diffusions with high diffusivity. SPIRE - Sciences Po Institutional REpository. 6. 941–973. 3 indexed citations
10.
Duong, Manh Hong, et al.. (2023). Reducing exit-times of diffusions with repulsive interactions. ESAIM Probability and Statistics. 27. 723–748. 4 indexed citations
11.
Monmarché, Pierre. (2023). Elementary coupling approach for non-linear perturbation of Markov processes with mean-field jump mechanisms and related problems. ESAIM Probability and Statistics. 27. 278–323. 2 indexed citations
12.
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
13.
Monmarché, Pierre. (2023). Almost sure contraction for diffusions on Rd. Application to generalized Langevin diffusions. Stochastic Processes and their Applications. 161. 316–349. 8 indexed citations
14.
Monmarché, Pierre, et al.. (2022). Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation. arXiv (Cornell University). 36 indexed citations
15.
Adjoua, Olivier, Luc-Henri Jolly, Chengwen Liu, et al.. (2021). High-resolution mining of the SARS-CoV-2 main protease conformational space: supercomputer-driven unsupervised adaptive sampling. Chemical Science. 12(13). 4889–4907. 39 indexed citations
16.
Durmus, Alain, Arnaud Guillin, & Pierre Monmarché. (2021). Piecewise Deterministic Markov Processes and their invariant measure. SPIRE - Sciences Po Institutional REpository. 14 indexed citations
17.
Monmarché, Pierre. (2020). High-dimensional MCMC with a standard splitting scheme for the\n underdamped Langevin diffusion. arXiv (Cornell University). 15 indexed citations
18.
Löcherbach, Eva & Pierre Monmarché. (2020). Metastability for systems of interacting neurons. arXiv (Cornell University). 5 indexed citations
19.
Monmarché, Pierre. (2020). High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin. arXiv (Cornell University). 1 indexed citations
20.
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

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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