Modélisation aléatoire de Paris Nanterre

8.8k citations
498 papers ·

Impact in

Papers in

Modélisation aléatoire de Paris Nanterre

458 papers receiving 8.8k citations

Peers

Modélisation aléatoire de Paris Nanterre
Comparison fields: 5 of 171
  • Mathematical Physics 1.7k
  • Applied Mathematics 2k
  • Statistics and Probability 1.6k
  • Computational Mathematics 55
  • Finance 906
Replace Laboratoire Angevin de Recherche en Mathématiques with:
Laboratoire Angevin de Recherche en Mathématiques France
Laboratoire de Statistique Théorique et Appliquée France
Isaac Newton Institute for Mathematical Sciences United Kingdom
Hausdorff Center for Mathematics Germany
Analyse, Géométrie et Modélisation France
Laboratoire de Mathématiques et Modélisation d'Évry France
Laboratoire Mathématiques, Image et Applications
London Institute for Mathematical Sciences United Kingdom
Laboratoire de mathématiques appliquées de Compiègne France
Laboratoire de Mathématiques de l'INSA de Rouen France
Modélisation aléatoire de Paris Nanterre relative to Laboratoire Angevin de Recherche en Mathématiques France Laboratoire Angevin de Recherche en Mathématiques's profile →
Citations per field
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Citations per year

Countries citing scholars working at Modélisation aléatoire de Paris Nanterre

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Modélisation aléatoire de Paris Nanterre. 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 Modélisation aléatoire de Paris Nanterre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modélisation aléatoire de Paris Nanterre more than expected).

Fields of papers published by authors at Modélisation aléatoire de Paris Nanterre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Modélisation aléatoire de Paris Nanterre 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 Modélisation aléatoire de Paris Nanterre at the time of their publication.

About Modélisation aléatoire de Paris Nanterre

In recent decades, authors affiliated with Modélisation aléatoire de Paris Nanterre have published 498 papers, which have received a total of 8.8k indexed citations . Scholars at this organization have produced 174 papers in Statistics and Probability, 125 papers in Mathematical Physics, 123 papers in Applied Mathematics, 55 papers in Finance and 20 papers in Algebra and Number Theory on the topics of Stochastic processes and statistical mechanics (102 papers), Statistical Methods and Inference (84 papers), Probability and Statistical Research (61 papers), Stochastic processes and financial applications (44 papers), Geometric Analysis and Curvature Flows (41 papers), Nonlinear Partial Differential Equations (22 papers), Probability and Risk Models (21 papers) and Markov Chains and Monte Carlo Methods (21 papers). Their work is cited by papers focused on Mathematical Physics (1.7k citations), Applied Mathematics (2k citations), Statistics and Probability (1.6k citations), Computational Mathematics (55 citations) and Finance (906 citations). Authors at Modélisation aléatoire de Paris Nanterre collaborate with scholars in France, United States and Germany and have published in prestigious journals including Bernoulli, Probability Theory and Related Fields, Stochastic Processes and their Applications, Electronic Journal of Statistics and Annales de l Institut Henri Poincaré Probabilités et Statistiques. Some of Modélisation aléatoire de Paris Nanterre's most productive authors include Sylvie Méléard, Luc Miller, Boyan Sirakov, Bruno Falissard, Christophe Genolini, Patrice Bertail, Xavier Mary, Patrick Cattiaux, Olga Klopp and Philippe Soulier.

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.

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