Pascal Omnès

935 total citations
30 papers, 578 citations indexed

About

Pascal Omnès is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Pascal Omnès has authored 30 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 8 papers in Computational Theory and Mathematics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Pascal Omnès's work include Advanced Numerical Methods in Computational Mathematics (20 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Pascal Omnès is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (20 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Pascal Omnès collaborates with scholars based in France, Lebanon and Canada. Pascal Omnès's co-authors include Komla Domelevo, Ursula Voß, C.‐D. Munz, Éric Sonnendrücker, R. Schneider, Stéphane Dellacherie, Pierre-Arnaud Raviart, F. Hermeline, Toni Sayah and Emmanuel Audusse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and SIAM Journal on Numerical Analysis.

In The Last Decade

Pascal Omnès

27 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Omnès France 9 451 146 116 109 108 30 578
Marie-Hélène Vignal France 15 413 0.9× 271 1.9× 91 0.8× 88 0.8× 71 0.7× 25 553
Vincent A. Mousseau United States 17 582 1.3× 86 0.6× 45 0.4× 107 1.0× 257 2.4× 38 821
Fabrice Deluzet France 9 200 0.4× 157 1.1× 78 0.7× 53 0.5× 34 0.3× 30 347
Hendrik Ranocha Germany 17 451 1.0× 100 0.7× 37 0.3× 43 0.4× 139 1.3× 42 609
Bo Strand Sweden 7 408 0.9× 47 0.3× 140 1.2× 25 0.2× 125 1.2× 13 578
Robert B. Lowrie United States 18 598 1.3× 384 2.6× 32 0.3× 32 0.3× 122 1.1× 46 838
James S. Warsa United States 12 255 0.6× 54 0.4× 31 0.3× 108 1.0× 72 0.7× 44 502
Xinghui Zhong United States 10 577 1.3× 275 1.9× 35 0.3× 23 0.2× 154 1.4× 31 657
Yuwei Fan United States 13 277 0.6× 295 2.0× 84 0.7× 24 0.2× 34 0.3× 31 562
Zhiming Gao China 14 467 1.0× 30 0.2× 50 0.4× 158 1.4× 193 1.8× 58 622

Countries citing papers authored by Pascal Omnès

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Omnès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Omnès

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Omnès. A scholar is included among the top collaborators of Pascal Omnès 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 Pascal Omnès. Pascal Omnès 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.
Allaire, Grégoire, et al.. (2025). Sharp convergence rates for the homogenization of the Stokes equations in a perforated domain. Discrete and Continuous Dynamical Systems - B. 30(5). 1550–1574.
2.
Omnès, Pascal, et al.. (2023). A posteriori error estimates for the Large Eddy Simulation applied to incompressible fluids. ESAIM. Mathematical modelling and numerical analysis. 57(4). 2159–2191.
3.
Omnès, Pascal, et al.. (2023). A posteriori error estimates for the time-dependent Navier-Stokes system coupled with the convection-diffusion-reaction equation. Advances in Computational Mathematics. 49(4). 1 indexed citations
4.
5.
Japhet, Caroline, et al.. (2023). Discrete-time analysis of optimized Schwarz waveform relaxation with Robin parameters depending on the targeted iteration count. ESAIM. Mathematical modelling and numerical analysis. 57(4). 2371–2396.
6.
Japhet, Caroline, et al.. (2022). Coupling Parareal with Optimized Schwarz Waveform Relaxation for Parabolic Problems. SIAM Journal on Numerical Analysis. 60(3). 913–939. 3 indexed citations
7.
Allaire, Grégoire, et al.. (2022). Enriched Nonconforming Multiscale Finite Element Method for Stokes Flows in Heterogeneous Media Based on High-order Weighting Functions. Multiscale Modeling and Simulation. 20(1). 462–492. 3 indexed citations
8.
Japhet, Caroline, et al.. (2021). Coupling Parareal with Optimized Schwarz waveform relaxation for parabolic problems. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
9.
Omnès, Pascal, et al.. (2021). A posteriori error estimates for the large eddy simulation applied to stationary Navier–Stokes equations. Numerical Methods for Partial Differential Equations. 38(5). 1468–1498. 3 indexed citations
10.
Magoulès, Frédéric, et al.. (2021). Optimal Absorption of Acoustic Waves by a Boundary. SIAM Journal on Control and Optimization. 59(1). 561–583. 3 indexed citations
11.
Omnès, Pascal, et al.. (2021). A posteriori error estimates for the time-dependent convection-diffusion-reaction equation coupled with the Darcy system. Numerical Algorithms. 89(3). 1247–1286. 2 indexed citations
12.
13.
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
14.
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
15.
Omnès, Pascal, et al.. (2014). Ana posteriorierror estimation for the discrete duality finite volume discretization of the Stokes equations. ESAIM Mathematical Modelling and Numerical Analysis. 49(3). 663–693. 2 indexed citations
16.
Omnès, Pascal, et al.. (2014). A discrete duality finite volume discretization of the vorticity‐velocity‐pressure stokes problem on almost arbitrary two‐dimensional grids. Numerical Methods for Partial Differential Equations. 31(1). 1–30. 11 indexed citations
17.
Omnès, Pascal, et al.. (2009). A Posteriori Error Estimation for the Discrete Duality Finite Volume Discretization of the Laplace Equation. SIAM Journal on Numerical Analysis. 47(4). 2782–2807. 3 indexed citations
18.
Hermeline, F., et al.. (2008). A finite volume method for the approximation of Maxwell’s equations in two space dimensions on arbitrary meshes. Journal of Computational Physics. 227(22). 9365–9388. 23 indexed citations
19.
Omnès, Pascal. (2007). Numerical and physical comparisons of two models of a gas centrifuge. Computers & Fluids. 36(6). 1028–1039. 12 indexed citations
20.
Domelevo, Komla, et al.. (2007). A Discrete Duality Finite Volume Approach to Hodge Decomposition and div‐curl Problems on Almost Arbitrary Two‐Dimensional Meshes. SIAM Journal on Numerical Analysis. 45(3). 1142–1174. 31 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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