F. Ledrappier

1.9k citations
20 papers · 1.2k · h-index 16

Impact in

Papers in

F. Ledrappier

20 papers receiving 1.1k citations

Peers

F. Ledrappier
Comparison fields: 5 of 68
  • Mathematical Physics 956
  • Statistical and Nonlinear Physics 694
  • Geometry and Topology 264
  • Applied Mathematics 164
  • Statistics and Probability 53
Replace Viviane Baladi with:
Viviane Baladi France
Lai‐Sang Young United States
Benoît Saussol France
Artur O. Lopes Brazil
Sébastien Gouëzel France
Ya. B. Pesin United States
Michael Benedicks Sweden
Dmitry Dolgopyat United States
D. V. Anosov Russia
Paweł Góra Canada
F. Ledrappier relative to Viviane Baladi France Viviane Baladi's profile →
Citations per field
00.5×1.5×
Viviane Baladi · 1×
Citations per year

Countries citing papers authored by F. Ledrappier

Since Specialization
Citations

This map shows the geographic impact of F. Ledrappier's research. 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 F. Ledrappier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Ledrappier more than expected).

Fields of papers citing papers by F. Ledrappier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Ledrappier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F. Ledrappier. The network helps show where F. Ledrappier may publish in the future.

Co-authors

The 10 scholars most cited alongside F. Ledrappier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Ledrappier Line = papers co-authored together F. Ledrappier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1985358
2 1984128
3 1981128
4 198483
5 198882
6 198473
7 198864
8 198662
9 199053
10 198544
11 197928
12 197725
13 197824
14 198824
15 199118
16 197316
17 200813
18 197611
19 200311
20
International Conference on Dynamical Systems : Montevideo 1995 -- a tribute to Ricardo Mañé
19962

About F. Ledrappier

F. Ledrappier is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Geometry and Topology, Applied Mathematics and Computer Networks and Communications, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (15 papers), Advanced Differential Equations and Dynamical Systems (5 papers), Chaos control and synchronization (5 papers), Quantum chaos and dynamical systems (4 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Geometric Analysis and Curvature Flows (2 papers), advanced mathematical theories (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Mathematical Physics (956 citations), Statistical and Nonlinear Physics (694 citations), Geometry and Topology (264 citations), Applied Mathematics (164 citations) and Statistics and Probability (53 citations). F. Ledrappier has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Lai-Sang Young, Hiroshi Kunita, R. M. Dudley, Michał Misiurewicz, L. Davisson, Mark Pollicott, Paul C. Shields, David L. Neuhoff, Esa Järvenpää and Maarit Järvenpää. Their work appears in journals such as Lecture notes in mathematics, Communications in Mathematical Physics, Ergodic Theory and Dynamical Systems, Bulletin of the American Mathematical Society and Duke Mathematical Journal.

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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