Stéphane Dellacherie

644 total citations
30 papers, 425 citations indexed

About

Stéphane Dellacherie is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, Stéphane Dellacherie has authored 30 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 13 papers in Applied Mathematics and 9 papers in Aerospace Engineering. Recurrent topics in Stéphane Dellacherie's work include Computational Fluid Dynamics and Aerodynamics (16 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Stéphane Dellacherie is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (16 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Stéphane Dellacherie collaborates with scholars based in France, Canada and Germany. Stéphane Dellacherie's co-authors include Pascal Omnès, Anela Kumbaro, Pierre-Arnaud Raviart, Gloria Faccanoni, Rémi Sentis, Olivier Lafitte, Bruno Després, Emmanuel Audusse, Christophe Buet and Benoît Boulet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Applied Mathematical Modelling.

In The Last Decade

Stéphane Dellacherie

28 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Dellacherie France 10 382 193 68 28 26 30 425
James P. Collins United States 6 356 0.9× 204 1.1× 37 0.5× 39 1.4× 46 1.8× 13 428
Jérémie Gressier France 8 395 1.0× 244 1.3× 103 1.5× 14 0.5× 17 0.7× 32 434
Raphaël Loubère France 7 461 1.2× 160 0.8× 34 0.5× 68 2.4× 32 1.2× 8 487
Elena Gaburro Italy 10 324 0.8× 90 0.5× 26 0.4× 43 1.5× 35 1.3× 17 348
Tiegang Liu China 16 611 1.6× 154 0.8× 78 1.1× 68 2.4× 16 0.6× 70 664
Gino Moretti United States 14 513 1.3× 240 1.2× 190 2.8× 30 1.1× 36 1.4× 33 595
Jinhao Xin United States 4 349 0.9× 99 0.5× 29 0.4× 70 2.5× 23 0.9× 6 407
Vincent Perrier France 8 318 0.8× 83 0.4× 193 2.8× 8 0.3× 5 0.2× 23 422
Bruno Costa Brazil 4 527 1.4× 222 1.2× 57 0.8× 89 3.2× 112 4.3× 5 554
Jian Cheng China 12 363 1.0× 98 0.5× 33 0.5× 60 2.1× 8 0.3× 47 408

Countries citing papers authored by Stéphane Dellacherie

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Dellacherie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Dellacherie

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Dellacherie. A scholar is included among the top collaborators of Stéphane Dellacherie 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 Stéphane Dellacherie. Stéphane Dellacherie 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.
Wu, Di, et al.. (2025). Leveraging Long-Term Multivariate History Representation for Time Series Forecasting. IEEE Transactions on Artificial Intelligence. 7(1). 195–209.
2.
Dellacherie, Stéphane, et al.. (2018). Accurate steam-water equation of state for two-phase flow LMNC model with phase transition. Applied Mathematical Modelling. 65. 207–233. 2 indexed citations
3.
Audusse, Emmanuel, et al.. (2017). Godunov type scheme for the linear wave equation with Coriolis source term. SHILAP Revista de lepidopterología. 58. 1–26. 3 indexed citations
4.
Dellacherie, Stéphane & Olivier Lafitte. (2016). Une solution explicite monodimensionnelle d’un modèle simplifié de couplage stationnaire thermohydraulique–neutronique. HAL (Le Centre pour la Communication Scientifique Directe). 41(2). 221–264. 2 indexed citations
5.
Dellacherie, Stéphane, et al.. (2016). A simple monodimensional model coupling an enthalpy transport equation and a neutron diffusion equation. Applied Mathematics Letters. 62. 35–41. 5 indexed citations
6.
Dellacherie, Stéphane, et al.. (2016). Numerical Results for the Coupling of a Simple Neutronics Diffusion Model and a Simple Hydrodynamics Low Mach Number Model without Coupling Codes. PolyPublie (École Polytechnique de Montréal). 119–124. 1 indexed citations
7.
Dellacherie, Stéphane, et al.. (2015). Study of a low Mach nuclear core model for two-phase flows with phase transition II: tabulated equation of state.
8.
Dellacherie, Stéphane, et al.. (2015). Preliminary results for the study of the godunov scheme applied to the linear wave equation with porosity at low mach number. SHILAP Revista de lepidopterología. 52. 105–126. 4 indexed citations
9.
Dellacherie, Stéphane, et al.. (2014). 2D Numerical simulation of a low mach nuclear core model with stiffened gas using freefem++. SHILAP Revista de lepidopterología. 45. 138–147. 2 indexed citations
10.
Dellacherie, Stéphane, et al.. (2014). Coupling strategies for compressible-low Mach number flows. Mathematical Models and Methods in Applied Sciences. 25(6). 1045–1089. 6 indexed citations
11.
Dellacherie, Stéphane. (2012). On a low Mach nuclear core model. SHILAP Revista de lepidopterología. 35. 79–106. 13 indexed citations
12.
Dellacherie, Stéphane, et al.. (2011). FLICA-OVAP: A new platform for core thermal–hydraulic studies. Nuclear Engineering and Design. 241(11). 4348–4358. 47 indexed citations
13.
Dellacherie, Stéphane, et al.. (2010). The influence of cell geometry on the Godunov scheme applied to the linear wave equation. Journal of Computational Physics. 229(14). 5315–5338. 39 indexed citations
14.
Dellacherie, Stéphane. (2005). On a diphasic low mach number system. ESAIM Mathematical Modelling and Numerical Analysis. 39(3). 487–514. 15 indexed citations
15.
Dellacherie, Stéphane. (2003). Relaxation schemes for the multicomponent Euler system. ESAIM Mathematical Modelling and Numerical Analysis. 37(6). 909–936. 19 indexed citations
16.
Dellacherie, Stéphane. (2003). Kinetic-Fluid Coupling in the Field of the Atomic Vapor Laser Isotopic Separation: Numerical Results in the Case of a Monospecies Perfect Gas. AIP conference proceedings. 663. 947–956. 8 indexed citations
17.
Dellacherie, Stéphane. (2001). Sur le caractère entropique des schémas de relaxation appliqués à une équation d'état non classique. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 332(8). 765–770. 2 indexed citations
18.
Dellacherie, Stéphane & Rémi Sentis. (2000). NUCLEAR COLLISIONS MODELS WITH BOLTZMANN OPERATORS. Mathematical Models and Methods in Applied Sciences. 10(4). 479–505. 4 indexed citations
19.
Dellacherie, Stéphane. (1999). Sur un schéma numérique semi-discret appliqué à un opérateur de Fokker—Planck isotrope. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 328(12). 1219–1224. 4 indexed citations
20.
Buet, Christophe, Stéphane Dellacherie, & Rémi Sentis. (1998). Résolution numérique d'une équation de Fokker-Planck ionique avec température électronique. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 327(1). 93–98. 3 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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