Laboratoire de Probabilités, Statistique et Modélisation
Impact in
- Finance top 10%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Statistics and Probability top 10%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
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- Markov Chains and Monte Carlo Methods 85
- Statistical Methods and Inference 72
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- Stochastic processes and statistical mechanics 128
- Mathematical Dynamics and Fractals 61
- Top scholars
- Huyên PhamAmaury LambertCôme HuréXavier WarinFrancis CometsGilles PagèsOlivier LopezLorenzo Zambotti
- Journals
- Electronic Journal of Probability (23 papers)Stochastic Processes and their Applications (22 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (21 papers)The Annals of Applied Probability (21 papers)Bernoulli (19 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Laboratoire de Probabilités, Statistique et Modélisation
532 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 191
- Finance 1.1k
- Statistics and Probability 910
- Mathematical Physics 927
- Statistical and Nonlinear Physics 695
- Modeling and Simulation 178
Countries citing scholars working at Laboratoire de Probabilités, Statistique et Modélisation
This map shows the geographic impact of research produced by authors working at Laboratoire de Probabilités, Statistique et Modélisation. 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 papers produced at Laboratoire de Probabilités, Statistique et Modélisation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire de Probabilités, Statistique et Modélisation more than expected).
Fields of papers published by authors at Laboratoire de Probabilités, Statistique et Modélisation
This network shows the impact of papers affiliated with Laboratoire de Probabilités, Statistique et Modélisation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire de Probabilités, Statistique et Modélisation at the time of their publication.
About Laboratoire de Probabilités, Statistique et Modélisation
In recent decades, authors affiliated with Laboratoire de Probabilités, Statistique et Modélisation have published 645 papers, which have received a total of 4.8k indexed citations . Scholars at this organization have produced 185 papers in Statistics and Probability, 199 papers in Mathematical Physics, 145 papers in Finance, 71 papers in Condensed Matter Physics and 27 papers in Modeling and Simulation on the topics of Stochastic processes and statistical mechanics (128 papers), Stochastic processes and financial applications (125 papers), Markov Chains and Monte Carlo Methods (85 papers), Statistical Methods and Inference (72 papers), Theoretical and Computational Physics (65 papers), Mathematical Dynamics and Fractals (61 papers), Bayesian Methods and Mixture Models (42 papers) and Financial Risk and Volatility Modeling (42 papers). Their work is cited by papers focused on Finance (1.1k citations), Statistics and Probability (910 citations), Mathematical Physics (927 citations), Statistical and Nonlinear Physics (695 citations) and Modeling and Simulation (178 citations). Authors at Laboratoire de Probabilités, Statistique et Modélisation collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Electronic Journal of Probability, Stochastic Processes and their Applications, Annales de l Institut Henri Poincaré Probabilités et Statistiques, The Annals of Applied Probability and Bernoulli. Some of Laboratoire de Probabilités, Statistique et Modélisation's most productive authors include Huyên Pham, Amaury Lambert, Côme Huré, Xavier Warin, Francis Comets, Gilles Pagès, Olivier Lopez, Lorenzo Zambotti, Nana Amponsah Kyeremateng and Jean Bertoin.
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.