Analyse, Géométrie et Modélisation
Impact in
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems
- Spectral Theory in Mathematical Physics
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
Papers in
-
- Advanced Mathematical Physics Problems 82
- Advanced Algebra and Geometry 47
- Spectral Theory in Mathematical Physics 46
-
- Algebraic structures and combinatorial models 44
- Algebraic Geometry and Number Theory 43
- Geometric and Algebraic Topology 38
- Top scholars
- Frank MerleNancy BrodieSaı̈d SadkiYvan MartelEric TateSamuel RufatChristopher G. BurtonThierry Coulhon
- Journals
- Advances in Mathematics (14 papers)Journal of Symbolic Logic (13 papers)Communications in Mathematical Physics (11 papers)Duke Mathematical Journal (10 papers)Computer Graphics Forum (10 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Analyse, Géométrie et Modélisation
818 papers receiving 12.9k citations
Peers
Comparison fields: 5 of 217
- Mathematical Physics 3.0k
- Applied Mathematics 1.8k
- Geometry and Topology 1.0k
- Statistical and Nonlinear Physics 1.4k
- Geophysics 1.3k
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 931 papers, which have received a total of 13.3k indexed citations . Scholars at this organization have produced 262 papers in Mathematical Physics, 170 papers in Geometry and Topology, 42 papers in Discrete Mathematics and Combinatorics, 39 papers in Computer Graphics and Computer-Aided Design and 109 papers in Applied Mathematics on the topics of Advanced Mathematical Physics Problems (82 papers), Advanced Mathematical Modeling in Engineering (58 papers), Advanced Algebra and Geometry (47 papers), Spectral Theory in Mathematical Physics (46 papers), Algebraic structures and combinatorial models (44 papers), Algebraic Geometry and Number Theory (43 papers), Stability and Controllability of Differential Equations (43 papers) and Geometric and Algebraic Topology (38 papers). Their work is cited by papers focused on Mathematical Physics (3.0k citations), Applied Mathematics (1.8k citations), Geometry and Topology (1.0k citations), Statistical and Nonlinear Physics (1.4k citations) and Geophysics (1.3k citations). Authors at Analyse, Géométrie et Modélisation collaborate with scholars in France, United States and Germany and have published in prestigious journals including Advances in Mathematics, Journal of Symbolic Logic, Communications in Mathematical Physics, Duke Mathematical Journal and Computer Graphics Forum. Some of Analyse, Géométrie et Modélisation's most productive authors include Frank Merle, Nancy Brodie, Saı̈d Sadki, Yvan Martel, Eric Tate, Samuel Rufat, Christopher G. Burton, Thierry Coulhon, Hatem Zaag and Isabelle Bloch.
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.