Maxime Hauray

1.0k total citations
21 papers, 428 citations indexed

About

Maxime Hauray is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Maxime Hauray has authored 21 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 8 papers in Statistical and Nonlinear Physics and 8 papers in Computational Mechanics. Recurrent topics in Maxime Hauray's work include Gas Dynamics and Kinetic Theory (16 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Maxime Hauray is often cited by papers focused on Gas Dynamics and Kinetic Theory (16 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Maxime Hauray collaborates with scholars based in France, United Kingdom and Italy. Maxime Hauray's co-authors include Pierre‐Emmanuel Jabin, Stéphane Mischler, Nicolas Fournier, José A. Carrillo, Young-Pil Choi, Daniel Han-Kwan, Young-Pil Choi, Claude Le Bris, Pierre-Louis Lions and Anne Nouri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Communications in Mathematical Physics.

In The Last Decade

Maxime Hauray

21 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maxime Hauray France 12 239 146 95 88 82 21 428
Maria C. Carvalho United States 11 213 0.9× 128 0.9× 133 1.4× 24 0.3× 12 0.1× 23 342
Frédéric Hérau France 10 204 0.9× 149 1.0× 202 2.1× 29 0.3× 31 0.4× 23 402
Max‐K. von Renesse Germany 11 355 1.5× 60 0.4× 113 1.2× 23 0.3× 111 1.4× 17 502
Francesco Salvarani Italy 13 261 1.1× 212 1.5× 103 1.1× 57 0.6× 14 0.2× 51 540
A. Mazel United States 10 70 0.3× 78 0.5× 169 1.8× 26 0.3× 103 1.3× 20 366
Jacob Bedrossian United States 14 184 0.8× 43 0.3× 95 1.0× 113 1.3× 41 0.5× 34 474
Frédéric Poupaud France 13 219 0.9× 98 0.7× 146 1.5× 74 0.8× 14 0.2× 24 487
Paolo Buttà Italy 9 74 0.3× 144 1.0× 63 0.7× 13 0.1× 14 0.2× 45 312
Maria G. Reznikoff Germany 8 55 0.2× 48 0.3× 61 0.6× 10 0.1× 32 0.4× 10 250
Enza Orlandi Italy 13 87 0.4× 63 0.4× 272 2.9× 18 0.2× 19 0.2× 38 522

Countries citing papers authored by Maxime Hauray

Since Specialization
Citations

This map shows the geographic impact of Maxime Hauray'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 Hauray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Hauray more than expected).

Fields of papers citing papers by Maxime Hauray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxime Hauray. 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 Hauray. The network helps show where Maxime Hauray may publish in the future.

Co-authorship network of co-authors of Maxime Hauray

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Hauray. A scholar is included among the top collaborators of Maxime Hauray 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 Hauray. Maxime Hauray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hauray, Maxime, et al.. (2022). Mathematical models of long term evolution of blue whale song types’ frequencies. Journal of Theoretical Biology. 548. 111184–111184. 4 indexed citations
2.
Hauray, Maxime, et al.. (2022). Conditional propagation of chaos in a spatial stochastic epidemic model with common noise. Stochastic Partial Differential Equations Analysis and Computations. 10(3). 1180–1210. 3 indexed citations
3.
Hauray, Maxime, et al.. (2018). Propagation of chaos for the Vlasov-Poisson-Fokker-Planck system in 1D. Kinetic and Related Models. 12(2). 269–302. 1 indexed citations
4.
Bostan, Mihaï, et al.. (2016). Le système de Vlasov–Poisson effectif pour les plasmas fortement magnétisés. Comptes Rendus Mathématique. 354(8). 771–777. 3 indexed citations
5.
Fournier, Nicolas & Maxime Hauray. (2015). Propagation of chaos for the Landau equation with moderately soft\n potentials. arXiv (Cornell University). 20 indexed citations
6.
Carrillo, José A., et al.. (2015). Mean-field limit for collective behavior models with sharp sensitivity regions. arXiv (Cornell University). 21 indexed citations
7.
Hauray, Maxime & Pierre‐Emmanuel Jabin. (2015). Particle approximation of Vlasov equations with singular forces: Propagation of chaos. Annales Scientifiques de l École Normale Supérieure. 48(4). 891–940. 45 indexed citations
8.
Hauray, Maxime & Stéphane Mischler. (2014). On Kac's chaos and related problems. Journal of Functional Analysis. 266(10). 6055–6157. 62 indexed citations
9.
Hauray, Maxime. (2014). Mean field limit for the one dimensional Vlasov-Poisson equation. arXiv (Cornell University). 1–16. 11 indexed citations
10.
Han-Kwan, Daniel & Maxime Hauray. (2014). Stability Issues in the Quasineutral Limit of the One-Dimensional Vlasov–Poisson Equation. Communications in Mathematical Physics. 334(2). 1101–1152. 18 indexed citations
11.
Carrillo, José A., Young-Pil Choi, & Maxime Hauray. (2014). Local well-posedness of the generalized Cucker-Smale model with singular kernels. SHILAP Revista de lepidopterología. 47. 17–35. 26 indexed citations
12.
Mischler, Stéphane, Maxime Hauray, & Nicolas Fournier. (2012). Propagation of chaos for the 2D viscous vortex model. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 57 indexed citations
13.
Hauray, Maxime & Pierre‐Emmanuel Jabin. (2011). Particles approximations of Vlasov equations with singular forces : Part. 2. arXiv (Cornell University). 2 indexed citations
14.
Hauray, Maxime & Pierre‐Emmanuel Jabin. (2011). Propagation of chaos for particles approximations of Vlasov equations with singular forces. arXiv (Cornell University). 3 indexed citations
15.
Hauray, Maxime & Anne Nouri. (2011). Well-posedness of a diffusive gyro-kinetic model. Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 28(4). 529–550. 3 indexed citations
16.
Barré, Julien, Maxime Hauray, & Pierre‐Emmanuel Jabin. (2010). Stability of trajectories forN-particle dynamics with a singular potential. Journal of Statistical Mechanics Theory and Experiment. 2010(7). P07005–P07005. 4 indexed citations
17.
Hauray, Maxime. (2009). WASSERSTEIN DISTANCES FOR VORTICES APPROXIMATION OF EULER-TYPE EQUATIONS. Mathematical Models and Methods in Applied Sciences. 19(8). 1357–1384. 41 indexed citations
18.
Hauray, Maxime, Claude Le Bris, & Pierre-Louis Lions. (2007). Deux remarques sur les flots généralisés d'équations différentielles ordinaires. Comptes Rendus Mathématique. 344(12). 759–764. 12 indexed citations
19.
Hauray, Maxime & Pierre‐Emmanuel Jabin. (2006). N-particles Approximation of the Vlasov Equations with Singular Potential. Archive for Rational Mechanics and Analysis. 183(3). 489–524. 73 indexed citations
20.
Hauray, Maxime. (2004). On Liouville Transport Equation with Force Field inBVloc. Communications in Partial Differential Equations. 29(1-2). 207–217. 17 indexed citations

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.

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