Arnaud Guillin
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Applied Mathematics top 0.5%
- Geometric Analysis and Curvature Flows
- Point processes and geometric inequalities
- Nonlinear Partial Differential Equations
Papers in
-
- Geometric Analysis and Curvature Flows 29
- Nonlinear Partial Differential Equations 19
- Point processes and geometric inequalities 17
-
- Markov Chains and Monte Carlo Methods 37
- Co-authors
- Nicolas Fournier (1 shared paper)Patrick Cattiaux (18 shared papers)François Bolley (8 shared papers)Liming Wu (11 shared papers)Ivan Gentil (10 shared papers)Hacène Djellout (6 shared papers)Dominique Bakry (2 shared papers)Randal Douc (5 shared papers)
- Journals
- Probability Theory and Related Fields (8 papers)Stochastic Processes and their Applications (6 papers)The Annals of Probability (4 papers)The Annals of Applied Probability (4 papers)Journal of Functional Analysis (4 papers)
- Partner nations
- FranceChinaUnited Kingdom
In The Last Decade
Arnaud Guillin
85 papers receiving 2.5k citations
Arnaud Guillin's Hit Papers
Peers
Comparison fields: 5 of 109
- Statistics and Probability 906
- Applied Mathematics 979
- Mathematical Physics 644
- Finance 583
- Statistical and Nonlinear Physics 481
Countries citing papers authored by Arnaud Guillin
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
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-authors
The 25 scholars most cited alongside Arnaud Guillin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the rate of convergence in Wasserstein distance of the empirical\n measure Hit paper breakdown → | 2013 | 483 |
| 2 | 2004 | 136 | |
| 3 | 2007 | 133 | |
| 4 | 2006 | 117 | |
| 5 | Adaptive importance sampling in general mixture classes | 2007 | 116 |
| 6 | 2008 | 99 | |
| 7 | 2007 | 97 | |
| 8 | 2008 | 92 | |
| 9 | 2016 | 75 | |
| 10 | 2019 | 70 | |
| 11 | 2010 | 65 | |
| 12 | 2012 | 58 | |
| 13 | 2012 | 54 | |
| 14 | 2008 | 48 | |
| 15 | 2012 | 48 | |
| 16 | 2019 | 42 | |
| 17 | 2006 | 36 | |
| 18 | 2009 | 35 | |
| 19 | 2005 | 34 | |
| 20 | 2009 | 32 |
About Arnaud Guillin
Arnaud Guillin is a scholar working on Applied Mathematics, Statistics and Probability, Mathematical Physics, Finance and Statistical and Nonlinear Physics, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (37 papers), Geometric Analysis and Curvature Flows (29 papers), Stochastic processes and statistical mechanics (20 papers), Nonlinear Partial Differential Equations (19 papers), Point processes and geometric inequalities (17 papers), Stochastic processes and financial applications (13 papers), Statistical Mechanics and Entropy (7 papers) and Advanced Mathematical Modeling in Engineering (5 papers). The work is most often cited by research in Statistics and Probability (906 citations), Applied Mathematics (979 citations), Mathematical Physics (644 citations), Finance (583 citations) and Statistical and Nonlinear Physics (481 citations). Arnaud Guillin has collaborated with scholars based in France, China and United Kingdom. Frequent co-authors include Nicolas Fournier, Patrick Cattiaux, François Bolley, Liming Wu, Ivan Gentil, Hacène Djellout, Dominique Bakry, Randal Douc, Florent Malrieu and Andreas Eberle. Their work appears in journals such as Probability Theory and Related Fields, Stochastic Processes and their Applications, The Annals of Probability, The Annals of Applied Probability and Journal of Functional Analysis.
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.