Simon Labrunie
Impact in
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Geometry and Topology top 10%
- Advanced Differential Equations and Dynamical Systems
Papers in
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- Advanced Numerical Methods in Computational Mathematics 12
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- Gas Dynamics and Kinetic Theory 8
- Co-authors
- Patrick Ciarlet (10 shared papers)Franck Assous (4 shared papers)J. Segré (1 shared paper)José A. Carrillo (2 shared papers)Jun Zou (2 shared papers)P. Bertrand (1 shared paper)Takashi Hattori (1 shared paper)Pierre Bertrand (1 shared paper)
In The Last Decade
Simon Labrunie
25 papers receiving 324 citations
Peers
Comparison fields: 5 of 37
- Computational Mechanics 205
- Geometry and Topology 51
- Numerical Analysis 31
- Mechanics of Materials 133
- Statistical and Nonlinear Physics 53
Countries citing papers authored by Simon Labrunie
This map shows the geographic impact of Simon Labrunie'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 Simon Labrunie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Labrunie more than expected).
Fields of papers citing papers by Simon Labrunie
This network shows the impact of papers produced by Simon Labrunie. 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 Simon Labrunie. The network helps show where Simon Labrunie may publish in the future.
Co-authors
The 20 scholars most cited alongside Simon Labrunie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 70 | |
| 2 | 2018 | 52 | |
| 3 | 2001 | 42 | |
| 4 | 1996 | 35 | |
| 5 | 2005 | 23 | |
| 6 | 2006 | 21 | |
| 7 | 2003 | 16 | |
| 8 | 2004 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2005 | 13 | |
| 11 | 2015 | 9 | |
| 12 | 2009 | 7 | |
| 13 | 2000 | 5 | |
| 14 | 2002 | 4 | |
| 15 | 1999 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 1996 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2003 | 2 |
About Simon Labrunie
Simon Labrunie is a scholar working on Computational Mechanics, Applied Mathematics, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Mathematical Physics, having authored 29 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (12 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Gas Dynamics and Kinetic Theory (8 papers), Numerical methods in engineering (4 papers), Advanced Mathematical Physics Problems (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Laser-Plasma Interactions and Diagnostics (4 papers) and Electromagnetic Scattering and Analysis (3 papers). The work is most often cited by research in Computational Mechanics (205 citations), Geometry and Topology (51 citations), Numerical Analysis (31 citations), Mechanics of Materials (133 citations) and Statistical and Nonlinear Physics (53 citations). Simon Labrunie has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Patrick Ciarlet, Franck Assous, J. Segré, José A. Carrillo, Jun Zou, P. Bertrand, Takashi Hattori, Pierre Bertrand, Robert Conte and Francesco Vecil. Their work appears in journals such as Mathematical Models and Methods in Applied Sciences, Mathematical Methods in the Applied Sciences, Journal of Computational Physics, Numerische Mathematik and Comptes Rendus Mathématique.
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.