François Jauberteau
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 7
- Fluid Dynamics and Vibration Analysis 4
- Sparse and Compressive Sensing Techniques 2
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods 2
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- Model Reduction and Neural Networks 2
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- Image and Signal Denoising Methods 3
- Advanced Image Processing Techniques 3
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- Wind and Air Flow Studies 2
- Co-authors
- Roger TémamThierry DuboisCarole RosierJ. L. JauberteauYe ZhouRoman NovikovLeonid KunyanskyR. Trébossen
- Journals
- Computer Methods in Applied Mechanics and Engineering (2 papers)Applied Numerical Mathematics (2 papers)Inverse Problems (2 papers)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
François Jauberteau
15 papers receiving 268 citations
Peers
Comparison fields: 5 of 39
- Computational Mechanics 208
- Numerical Analysis 40
- Computational Theory and Mathematics 67
- Statistical and Nonlinear Physics 44
- Modeling and Simulation 15
Countries citing papers authored by François Jauberteau
This map shows the geographic impact of François Jauberteau'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 François Jauberteau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Jauberteau more than expected).
Fields of papers citing papers by François Jauberteau
This network shows the impact of papers produced by François Jauberteau. 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 François Jauberteau. The network helps show where François Jauberteau may publish in the future.
Co-authorship network
The 12 scholars most cited alongside François Jauberteau, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2019 | 0 | |
| 5 | 2014 | 0 | |
| 6 | 2009 | 19 | |
| 7 | 2005 | 11 | |
| 8 | Estimates based on scale separation for geophysical flows | 2002 | 1 |
| 9 | 2002 | 22 | |
| 10 | 2001 | 1 | |
| 11 | Dynamic multilevel methods and the numerical simulation of turbulence | 1999 | 76 |
| 12 | 1998 | 37 | |
| 13 | 1997 | 16 | |
| 14 | 1993 | 32 | |
| 15 | 1991 | 12 | |
| 16 | 1990 | 41 | |
| 17 | 1990 | 33 |
About François Jauberteau
François Jauberteau is a scholar working on Computational Mechanics, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 308 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (7 papers), Fluid Dynamics and Vibration Analysis (4 papers), Image and Signal Denoising Methods (3 papers), Advanced Image Processing Techniques (3 papers), Wind and Air Flow Studies (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Differential Equations and Numerical Methods (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Computational Mechanics (208 citations), Numerical Analysis (40 citations) and Computational Theory and Mathematics (67 citations). François Jauberteau has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Roger Témam, Thierry Dubois, Carole Rosier, J. L. Jauberteau, Ye Zhou, Roman Novikov, Leonid Kunyansky, R. Trébossen, Martine Marion and Joseph Tribbia. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Applied Numerical Mathematics, Inverse Problems, Journal of Computational Physics and Computer Physics Communications.
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.