Jean Lacroix
- Mathematical Physics top 2%
- Statistical and Nonlinear Physics top 2%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 2%
- Computational Mechanics top 10%
- Co-authors
- René CarmonaPhilippe BougerolR. PeyretMichel DevilleAnthony T. PateraJalil OuazzaniPierre HaldenwangC. Basdevant
- Topics
- Spectral Theory in Mathematical Physics (5 papers)Advanced Numerical Methods in Computational Mathematics (3 papers)Quantum chaos and dynamical systems (3 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Jean Lacroix
11 papers receiving 799 citations
Peers
Comparison fields: 5 of 66
- Mathematical Physics 537
- Statistical and Nonlinear Physics 312
- Computational Theory and Mathematics 185
- Statistics and Probability 167
- Computational Mechanics 124
Countries citing papers authored by Jean Lacroix
This map shows the geographic impact of Jean Lacroix'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 Jean Lacroix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Lacroix more than expected).
Fields of papers citing papers by Jean Lacroix
This network shows the impact of papers produced by Jean Lacroix. 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 Jean Lacroix. The network helps show where Jean Lacroix may publish in the future.
Co-authorship network of co-authors of Jean Lacroix
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Lacroix. A scholar is included among the top collaborators of Jean Lacroix 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 Jean Lacroix. Jean Lacroix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 32 | |
| 4 | 328 | |
| 5 | Numerical Experiments on Stratified Fluids Subject to Heating | 1 |
| 6 | 7 | |
| 7 | A pseudospectral multi-domain method for the Navier-Stokes equations with application to double-diffusive convection | 5 |
| 8 | 30 | |
| 9 | 164 | |
| 10 | 271 | |
| 11 | Localisation pour l'opérateur de Schrödinger aléatoire dans un ruban | 12 |
About Jean Lacroix
Jean Lacroix is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 11 papers that have together received 855 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (5 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Mathematical Physics (537 citations), Statistical and Nonlinear Physics (312 citations) and Statistics and Probability (167 citations). Jean Lacroix has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include René Carmona, Philippe Bougerol, R. Peyret, Michel Deville, Anthony T. Patera, Jalil Ouazzani, Pierre Haldenwang, C. Basdevant, Paolo Orlandi and Abel Klein. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Statistical Physics and Journal of Functional Analysis.
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.