Laboratoire de Physique Théorique et Modèles Statistiques
Impact in
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- Complex Network Analysis Techniques
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
Papers in
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- Theoretical and Computational Physics 333
- Physics of Superconductivity and Magnetism 142
- Top scholars
- Satya N. MajumdarMarc MézardVito LatoraMassimo MarchioriGiorgio ParisiAndrea MontanariGrégory SchehrOlivier Martin
- Journals
- Physical Review Letters (232 papers)Physical Review A (113 papers)Physical review. E (113 papers)Journal of Physics A Mathematical and Theoretical (66 papers)Physical Review B (59 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Laboratoire de Physique Théorique et Modèles Statistiques
1.6k papers receiving 48.6k citations
Peers
Comparison fields: 5 of 220
- Statistical and Nonlinear Physics 12.2k
- Condensed Matter Physics 10.7k
- Atomic and Molecular Physics, and Optics 16.6k
- Mathematical Physics 4.7k
- Statistics and Probability 3.5k
Countries citing scholars working at Laboratoire de Physique Théorique et Modèles Statistiques
This map shows the geographic impact of research produced by authors working at Laboratoire de Physique Théorique et Modèles Statistiques. 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 Physique Théorique et Modèles Statistiques 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 Physique Théorique et Modèles Statistiques more than expected).
Fields of papers published by authors at Laboratoire de Physique Théorique et Modèles Statistiques
This network shows the impact of papers affiliated with Laboratoire de Physique Théorique et Modèles Statistiques 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 Physique Théorique et Modèles Statistiques at the time of their publication.
About Laboratoire de Physique Théorique et Modèles Statistiques
In recent decades, authors affiliated with Laboratoire de Physique Théorique et Modèles Statistiques have published 1.7k papers, which have received a total of 49.9k indexed citations . Scholars at this organization have produced 497 papers in Condensed Matter Physics, 418 papers in Statistical and Nonlinear Physics, 286 papers in Mathematical Physics, 659 papers in Atomic and Molecular Physics, and Optics and 154 papers in Statistics and Probability on the topics of Theoretical and Computational Physics (333 papers), Cold Atom Physics and Bose-Einstein Condensates (240 papers), Stochastic processes and statistical mechanics (226 papers), Quantum many-body systems (191 papers), Physics of Superconductivity and Magnetism (142 papers), Quantum and electron transport phenomena (139 papers), Diffusion and Search Dynamics (133 papers) and Random Matrices and Applications (123 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (12.2k citations), Condensed Matter Physics (10.7k citations), Atomic and Molecular Physics, and Optics (16.6k citations), Mathematical Physics (4.7k citations) and Statistics and Probability (3.5k citations). Authors at Laboratoire de Physique Théorique et Modèles Statistiques collaborate with scholars in France, United States and Germany and have published in prestigious journals including Physical Review Letters, Physical Review A, Physical review. E, Journal of Physics A Mathematical and Theoretical and Physical Review B. Some of Laboratoire de Physique Théorique et Modèles Statistiques's most productive authors include Satya N. Majumdar, Marc Mézard, Vito Latora, Massimo Marchiori, Giorgio Parisi, Andrea Montanari, Grégory Schehr, Olivier Martin, Riccardo Zecchina and Dmitry S. Petrov.
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.