Raphaël Loubère
- Computational Mechanics top 0.5%
- Computational Fluid Dynamics and Aerodynamics 56
- Advanced Numerical Methods in Computational Mathematics 33
- Fluid Dynamics and Turbulent Flows 29
- Lattice Boltzmann Simulation Studies 13
- Fluid Dynamics Simulations and Interactions 8
- Fluid Dynamics and Heat Transfer 4
- Applied Mathematics top 1%
- Gas Dynamics and Kinetic Theory 12
- Numerical Analysis top 5%
- Numerical methods for differential equations 6
- Co-authors
- Steven DiotStéphane ClainPierre‐Henri MaireMichael DumbserMikhail ShashkovWalter BoscheriJ. BreilPavel Váchal
- Journals
- Journal of Computational Physics (26 papers)Computers & Fluids (9 papers)International Journal for Numerical Methods in Fluids (5 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Raphaël Loubère
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 50
- Computational Mechanics 1.7k
- Applied Mathematics 514
- Numerical Analysis 174
- Computer Graphics and Computer-Aided Design 50
- Atmospheric Science 99
Countries citing papers authored by Raphaël Loubère
This map shows the geographic impact of Raphaël Loubère'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 Raphaël Loubère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Loubère more than expected).
Fields of papers citing papers by Raphaël Loubère
This network shows the impact of papers produced by Raphaël Loubère. 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 Raphaël Loubère. The network helps show where Raphaël Loubère may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Loubère, 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 | 2025 | 0 | |
| 2 | An asymptotic-preserving multidimensionality-aware finite volume numerical scheme for Euler equations | 2024 | 0 |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 46 | |
| 15 | 2017 | 4 | |
| 16 | 2014 | 16 | |
| 17 | 2013 | 100 | |
| 18 | 2011 | 16 | |
| 19 | 2005 | 113 | |
| 20 | 2004 | 23 |
About Raphaël Loubère
Raphaël Loubère is a scholar working on Computational Mechanics, Applied Mathematics, Numerical Analysis, Computer Graphics and Computer-Aided Design and Atmospheric Science, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (56 papers), Advanced Numerical Methods in Computational Mathematics (33 papers), Fluid Dynamics and Turbulent Flows (29 papers), Lattice Boltzmann Simulation Studies (13 papers), Gas Dynamics and Kinetic Theory (12 papers), Fluid Dynamics Simulations and Interactions (8 papers), Numerical methods for differential equations (6 papers) and Fluid Dynamics and Heat Transfer (4 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Applied Mathematics (514 citations), Numerical Analysis (174 citations), Computer Graphics and Computer-Aided Design (50 citations) and Atmospheric Science (99 citations). Raphaël Loubère has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Steven Diot, Stéphane Clain, Pierre‐Henri Maire, Michael Dumbser, Mikhail Shashkov, Walter Boscheri, J. Breil, Pavel Váchal, Giacomo Dimarco and Stéphane Galera. Their work appears in journals such as Journal of Computational Physics, Computers & Fluids, International Journal for Numerical Methods in Fluids, Journal of Scientific Computing and Communications in Computational Physics.
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.