Frédéric Naud
Impact in
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals
- Spectral Theory in Mathematical Physics
- Advanced Algebra and Geometry
- Geometry and Topology top 5%
- Geometric and Algebraic Topology
- Geometry and complex manifolds
Papers in
-
- Mathematical Dynamics and Fractals 16
- Spectral Theory in Mathematical Physics 3
-
- Geometry and complex manifolds 5
- Geometric and Algebraic Topology 5
- Co-authors
- Colin Guillarmou (3 shared papers)Dmitry Jakobson (4 shared papers)Michael Magee (1 shared paper)
- Journals
- Geometric and Functional Analysis (2 papers)Annales Henri Poincaré (2 papers)Discrete and Continuous Dynamical Systems (2 papers)Annales de l’institut Fourier (1 paper)Duke Mathematical Journal (1 paper)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Frédéric Naud
19 papers receiving 152 citations
Peers
Comparison fields: 5 of 23
- Mathematical Physics 153
- Geometry and Topology 75
- Statistical and Nonlinear Physics 80
- Algebra and Number Theory 22
- Discrete Mathematics and Combinatorics 13
Countries citing papers authored by Frédéric Naud
This map shows the geographic impact of Frédéric Naud'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 Frédéric Naud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Naud more than expected).
Fields of papers citing papers by Frédéric Naud
This network shows the impact of papers produced by Frédéric Naud. 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 Frédéric Naud. The network helps show where Frédéric Naud may publish in the future.
Co-authors
The 3 scholars most cited alongside Frédéric Naud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 55 | |
| 2 | 2006 | 17 | |
| 3 | 2022 | 15 | |
| 4 | 2012 | 14 | |
| 5 | 2008 | 14 | |
| 6 | 2013 | 10 | |
| 7 | 2005 | 9 | |
| 8 | 2020 | 6 | |
| 9 | 2005 | 6 | |
| 10 | 2009 | 5 | |
| 11 | 2010 | 5 | |
| 12 | 2001 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2012 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2014 | 2 | |
| 17 | 2004 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Frédéric Naud
Frédéric Naud is a scholar working on Mathematical Physics, Geometry and Topology, Applied Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 20 papers that have together received 175 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (16 papers), Geometric Analysis and Curvature Flows (6 papers), Quantum chaos and dynamical systems (5 papers), Geometry and complex manifolds (5 papers), Geometric and Algebraic Topology (5 papers), Spectral Theory in Mathematical Physics (3 papers), Topological and Geometric Data Analysis (2 papers) and Mathematical Analysis and Transform Methods (2 papers). The work is most often cited by research in Mathematical Physics (153 citations), Geometry and Topology (75 citations), Statistical and Nonlinear Physics (80 citations), Algebra and Number Theory (22 citations) and Discrete Mathematics and Combinatorics (13 citations). Frédéric Naud has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Colin Guillarmou, Dmitry Jakobson and Michael Magee. Their work appears in journals such as Geometric and Functional Analysis, Annales Henri Poincaré, Discrete and Continuous Dynamical Systems, Annales de l’institut Fourier 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.