Mathieu Laurière
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- COVID-19 epidemiological studies
- Finance top 5%
- Stochastic processes and financial applications
Papers in
- Finance 22
- Stochastic processes and financial applications 22
-
- Economic theories and models 7
- Climate Change Policy and Economics 5
- Co-authors
- René Carmona (7 shared papers)Yves Achdou (4 shared papers)Olivier Pironneau (3 shared papers)Romuald Élie (5 shared papers)Chandrashekar Radhakrishnan (1 shared paper)Tim Byrnes (1 shared paper)Viet Chi Tran (1 shared paper)Arthur Charpentier (1 shared paper)
- Journals
- Applied Mathematics & Optimization (5 papers)SIAM Journal on Control and Optimization (2 papers)The Annals of Applied Probability (2 papers)Algorithmica (1 paper)SIAM Journal on Applied Mathematics (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Mathieu Laurière
50 papers receiving 590 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 108
- Finance 230
- Statistical and Nonlinear Physics 115
- Management Science and Operations Research 108
- Mathematical Physics 54
Countries citing papers authored by Mathieu Laurière
This map shows the geographic impact of Mathieu Laurière'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 Mathieu Laurière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Laurière more than expected).
Fields of papers citing papers by Mathieu Laurière
This network shows the impact of papers produced by Mathieu Laurière. 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 Mathieu Laurière. The network helps show where Mathieu Laurière may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Laurière, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 41 | |
| 2 | 2022 | 40 | |
| 3 | 2020 | 40 | |
| 4 | 2022 | 39 | |
| 5 | 2020 | 38 | |
| 6 | 2014 | 38 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2015 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2016 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 9 | |
| 20 | Approximate Fictitious Play for Mean Field Games | 2019 | 8 |
About Mathieu Laurière
Mathieu Laurière is a scholar working on Finance, Economics and Econometrics, Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 55 papers that have together received 600 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (22 papers), Economic theories and models (7 papers), Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (5 papers), Climate Change Policy and Economics (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Mathematical Biology Tumor Growth (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Modeling and Simulation (108 citations), Finance (230 citations), Statistical and Nonlinear Physics (115 citations), Management Science and Operations Research (108 citations) and Mathematical Physics (54 citations). Mathieu Laurière has collaborated with scholars based in United States, France and China. Frequent co-authors include René Carmona, Yves Achdou, Olivier Pironneau, Romuald Élie, Chandrashekar Radhakrishnan, Tim Byrnes, Viet Chi Tran, Arthur Charpentier, Jean‐Pierre Fouque and Matthieu Geist. Their work appears in journals such as Applied Mathematics & Optimization, SIAM Journal on Control and Optimization, The Annals of Applied Probability, Algorithmica and SIAM Journal on Applied Mathematics.
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.