Mathias Rousset
Impact in
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
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- Advanced Thermodynamics and Statistical Mechanics
Papers in
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- Markov Chains and Monte Carlo Methods 8
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- Stochastic processes and statistical mechanics 7
- Co-authors
- Tony Lelièvre (12 shared papers)Gabriel Stoltz (9 shared papers)Arnaud Guyader (3 shared papers)Frédéric Cérou (4 shared papers)Charles-Édouard Bréhier (3 shared papers)Giovanni Samaey (3 shared papers)Ludovic Goudenège (2 shared papers)Bernard Delyon (1 shared paper)
- Journals
- Mathematical Models and Methods in Applied Sciences (2 papers)Numerische Mathematik (1 paper)ESAIM Probability and Statistics (1 paper)Multiscale Modeling and Simulation (1 paper)Stochastic Partial Differential Equations Analysis and Computations (1 paper)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Mathias Rousset
22 papers receiving 519 citations
Peers
Comparison fields: 5 of 68
- Statistics and Probability 175
- Statistical and Nonlinear Physics 180
- Mathematical Physics 85
- Statistics, Probability and Uncertainty 47
- Condensed Matter Physics 70
Countries citing papers authored by Mathias Rousset
This map shows the geographic impact of Mathias Rousset'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 Mathias Rousset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Rousset more than expected).
Fields of papers citing papers by Mathias Rousset
This network shows the impact of papers produced by Mathias Rousset. 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 Mathias Rousset. The network helps show where Mathias Rousset may publish in the future.
Co-authors
The 14 scholars most cited alongside Mathias Rousset, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 157 | |
| 2 | 2010 | 120 | |
| 3 | 2006 | 34 | |
| 4 | 2019 | 31 | |
| 5 | 2012 | 30 | |
| 6 | 2010 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2006 | 17 | |
| 9 | Hybrid Monte Carlo methods for sampling probability measures on submanifolds | 2018 | 16 |
| 10 | 2014 | 14 | |
| 11 | On the Asymptotic Normality of Adaptive Multilevel Splitting | 2018 | 12 |
| 12 | More on the long time stability of Feynman-Kac semigroups | 2018 | 10 |
| 13 | 2013 | 8 | |
| 14 | 2017 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 2017 | 5 | |
| 18 | Individual-based models for bacterial chemotaxis and variance reduced simulations | 2009 | 4 |
| 19 | 2015 | 2 | |
| 20 | 2022 | 2 |
About Mathias Rousset
Mathias Rousset is a scholar working on Statistics and Probability, Mathematical Physics, Statistical and Nonlinear Physics, Condensed Matter Physics and Finance, having authored 25 papers that have together received 538 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (7 papers), Quantum chaos and dynamical systems (3 papers), Mathematical Biology Tumor Growth (3 papers), Theoretical and Computational Physics (3 papers), Stochastic processes and financial applications (3 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Nuclear reactor physics and engineering (2 papers). The work is most often cited by research in Statistics and Probability (175 citations), Statistical and Nonlinear Physics (180 citations), Mathematical Physics (85 citations), Statistics, Probability and Uncertainty (47 citations) and Condensed Matter Physics (70 citations). Mathias Rousset has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Tony Lelièvre, Gabriel Stoltz, Arnaud Guyader, Frédéric Cérou, Charles-Édouard Bréhier, Giovanni Samaey, Ludovic Goudenège, Bernard Delyon, Petr Plecháč and Éric Dumonteil. Their work appears in journals such as Mathematical Models and Methods in Applied Sciences, Numerische Mathematik, ESAIM Probability and Statistics, Multiscale Modeling and Simulation and Stochastic Partial Differential Equations Analysis and Computations.
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.