Maxime Barrault
- Statistical and Nonlinear Physics top 1%
- Computational Mechanics top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Numerical Analysis top 5%
- Mechanics of Materials top 10%
- Co-authors
- Yvon MadayAnthony T. PateraNgoc Cuong NguyenClaude Le BrisWilliam W. HagerÉric CancèsPierre RametJean Roman
- Topics
- Advanced Numerical Methods in Computational Mathematics (3 papers)Nuclear reactor physics and engineering (2 papers)Matrix Theory and Algorithms (2 papers)
- Journals
- Journal of Computational PhysicsComptes Rendus MathématiqueHAL (Le Centre pour la Communication Scientifique Directe)
- Partner nations
- FranceUnited StatesSingapore
In The Last Decade
Maxime Barrault
5 papers receiving 950 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Statistical and Nonlinear Physics 788
- Computational Mechanics 478
- Statistics, Probability and Uncertainty 358
- Numerical Analysis 189
- Mechanics of Materials 152
Countries citing papers authored by Maxime Barrault
This map shows the geographic impact of Maxime Barrault'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 Maxime Barrault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Barrault more than expected).
Fields of papers citing papers by Maxime Barrault
This network shows the impact of papers produced by Maxime Barrault. 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 Maxime Barrault. The network helps show where Maxime Barrault may publish in the future.
Co-authorship network of co-authors of Maxime Barrault
This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Barrault. A scholar is included among the top collaborators of Maxime Barrault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxime Barrault. Maxime Barrault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | A Non Overlapping Parallel Domain Decomposition Method Applied to The Simplified Transport Equations | 3 |
| 3 | 2 | |
| 4 | 24 | |
| 5 | An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equationsbreakdown → | 973 |
About Maxime Barrault
Maxime Barrault is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (3 papers), Nuclear reactor physics and engineering (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (788 citations), Statistics, Probability and Uncertainty (358 citations) and Numerical Analysis (189 citations). Maxime Barrault has collaborated with scholars based in France, United States and Singapore. Frequent co-authors include Yvon Maday, Anthony T. Patera, Ngoc Cuong Nguyen, Claude Le Bris, William W. Hager, Éric Cancès, Pierre Ramet and Jean Roman. Their work appears in journals such as Journal of Computational Physics, Comptes Rendus Mathématique and HAL (Le Centre pour la Communication Scientifique Directe).
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.