Mathieu Laurière
- Finance top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- René CarmonaOlivier PironneauYves AchdouTim ByrnesChandrashekar RadhakrishnanJean‐Pierre FouqueDante KaliseFrancisco J. Silva
- Topics
- Stochastic processes and financial applications (21 papers)Economic theories and models (6 papers)Quantum Computing Algorithms and Architecture (5 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaEuropean Journal of Operational Research
- Partner nations
- United StatesFranceChina
In The Last Decade
Mathieu Laurière
41 papers receiving 391 citations
Peers
Comparison fields: 5 of 54
- Finance 168
- Artificial Intelligence 112
- Economics and Econometrics 77
- Statistical and Nonlinear Physics 76
- Management Science and Operations Research 66
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-authorship network of co-authors of Mathieu Laurière
This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Laurière. A scholar is included among the top collaborators of Mathieu Laurière 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 Mathieu Laurière. Mathieu Laurière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 35 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | Connecting GANs and MFGs. | 2 |
| 15 | 37 | |
| 16 | Approximate Fictitious Play for Mean Field Games | 5 |
| 17 | 7 | |
| 18 | 24 | |
| 19 | 11 | |
| 20 | 30 |
About Mathieu Laurière
Mathieu Laurière is a scholar working on Finance, Modeling and Simulation and Management Science and Operations Research, having authored 44 papers that have together received 400 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Economic theories and models (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Finance (168 citations), Modeling and Simulation (63 citations) and Statistical and Nonlinear Physics (76 citations). Mathieu Laurière has collaborated with scholars based in United States, France and China. Frequent co-authors include René Carmona, Olivier Pironneau, Yves Achdou, Tim Byrnes, Chandrashekar Radhakrishnan, Jean‐Pierre Fouque, Dante Kalise, Francisco J. Silva, Luis M. Briceño-Arias and Huyên Pham. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and European Journal of Operational Research.
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.