Analyse, Géométrie et Modélisation
Impact in
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems
- Spectral Theory in Mathematical Physics
- Mathematical Dynamics and Fractals
- Stochastic processes and statistical mechanics
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
Papers in
-
- Advanced Mathematical Physics Problems 127
- Spectral Theory in Mathematical Physics 121
- Mathematical Dynamics and Fractals 62
- Stochastic processes and statistical mechanics 44
-
- Nonlinear Partial Differential Equations 85
- Geometric Analysis and Curvature Flows 38
- Top scholars
- Mathieu Lewin BFrank MerleNikolay TzvetkovPaul DoukhanYvan MartelEmmanuel HebeyZindine DjadliHatem Zaag
- Journals
- Communications in Mathematical Physics (24 papers)Annales Henri Poincaré (15 papers)Journal of Functional Analysis (15 papers)Journal of Statistical Physics (15 papers)International Mathematics Research Notices (14 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Analyse, Géométrie et Modélisation
618 papers receiving 8.4k citations
Peers
Comparison fields: 5 of 96
- Mathematical Physics 4k
- Applied Mathematics 2.5k
- Geometry and Topology 445
- Statistical and Nonlinear Physics 459
- Statistics and Probability 414
Countries citing scholars working at Analyse, Géométrie et Modélisation
This map shows the geographic impact of research produced by authors working at Analyse, Géométrie 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 Analyse, Géométrie 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 Analyse, Géométrie et Modélisation more than expected).
Fields of papers published by authors at Analyse, Géométrie et Modélisation
This network shows the impact of papers affiliated with Analyse, Géométrie 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 Analyse, Géométrie et Modélisation at the time of their publication.
About Analyse, Géométrie et Modélisation
In recent decades, authors affiliated with Analyse, Géométrie et Modélisation have published 665 papers, which have received a total of 8.4k indexed citations . Scholars at this organization have produced 345 papers in Mathematical Physics, 161 papers in Applied Mathematics, 47 papers in Statistics and Probability, 39 papers in Geometry and Topology and 29 papers in Statistical and Nonlinear Physics on the topics of Advanced Mathematical Physics Problems (127 papers), Spectral Theory in Mathematical Physics (121 papers), Nonlinear Partial Differential Equations (85 papers), Mathematical Dynamics and Fractals (62 papers), Stochastic processes and statistical mechanics (44 papers), Geometric Analysis and Curvature Flows (38 papers), Stability and Controllability of Differential Equations (31 papers) and Probability and Statistical Research (29 papers). Their work is cited by papers focused on Mathematical Physics (4k citations), Applied Mathematics (2.5k citations), Geometry and Topology (445 citations), Statistical and Nonlinear Physics (459 citations) and Statistics and Probability (414 citations). Authors at Analyse, Géométrie et Modélisation collaborate with scholars in France, United States and Canada and have published in prestigious journals including Communications in Mathematical Physics, Annales Henri Poincaré, Journal of Functional Analysis, Journal of Statistical Physics and International Mathematics Research Notices. Some of Analyse, Géométrie et Modélisation's most productive authors include Mathieu Lewin B, Frank Merle, Nikolay Tzvetkov, Paul Doukhan, Yvan Martel, Emmanuel Hebey, Zindine Djadli, Hatem Zaag, Benoît Pausader and Phan Thành Nam.
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.