Olivier Vermorel

2.6k total citations
58 papers, 2.1k citations indexed

About

Olivier Vermorel is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Olivier Vermorel has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 29 papers in Aerospace Engineering and 22 papers in Fluid Flow and Transfer Processes. Recurrent topics in Olivier Vermorel's work include Combustion and flame dynamics (37 papers), Combustion and Detonation Processes (23 papers) and Advanced Combustion Engine Technologies (22 papers). Olivier Vermorel is often cited by papers focused on Combustion and flame dynamics (37 papers), Combustion and Detonation Processes (23 papers) and Advanced Combustion Engine Technologies (22 papers). Olivier Vermorel collaborates with scholars based in France, United States and Canada. Olivier Vermorel's co-authors include Thierry Poinsot, Christian Angelberger, Bénédicte Cuenot, Richard J. Kahnoski, Olivier Colin, D. Veynante, A. Benkenida, Victor Granet, Corine Lacour and Benoît Enaux and has published in prestigious journals such as Journal of Computational Physics, International Journal of Hydrogen Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

Olivier Vermorel

56 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Vermorel France 25 1.6k 1.1k 844 383 244 58 2.1k
Mitsuhiro Tsue Japan 24 1.2k 0.8× 719 0.6× 851 1.0× 360 0.9× 173 0.7× 143 1.7k
C.G.W. Sheppard United Kingdom 26 2.2k 1.4× 2.2k 1.9× 1.1k 1.3× 398 1.0× 101 0.4× 59 3.0k
David L. Reuss United States 29 1.8k 1.1× 1.6k 1.4× 600 0.7× 97 0.3× 55 0.2× 56 2.1k
Isaac Boxx Germany 24 2.3k 1.5× 1.5k 1.4× 515 0.6× 602 1.6× 93 0.4× 108 2.5k
Domenic A. Santavicca United States 31 3.1k 2.0× 2.5k 2.3× 757 0.9× 988 2.6× 66 0.3× 114 3.4k
Julien Manin United States 32 2.6k 1.7× 2.6k 2.4× 667 0.8× 117 0.3× 145 0.6× 84 3.2k
Keith McManus United States 21 1.5k 0.9× 702 0.6× 792 0.9× 198 0.5× 86 0.4× 59 1.7k
Sergey Minaev Russia 26 2.0k 1.3× 1.4k 1.3× 983 1.2× 468 1.2× 60 0.2× 110 2.2k
Ananias Tomboulides Greece 26 2.3k 1.5× 1.1k 1.0× 903 1.1× 267 0.7× 103 0.4× 72 2.5k
Nicolas Noiray Switzerland 28 2.9k 1.9× 1.9k 1.7× 865 1.0× 654 1.7× 60 0.2× 136 3.1k

Countries citing papers authored by Olivier Vermorel

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Vermorel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Vermorel

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Vermorel. A scholar is included among the top collaborators of Olivier Vermorel 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 Olivier Vermorel. Olivier Vermorel 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.
Vermorel, Olivier, et al.. (2025). Impact of stratification and global mixture properties on flame acceleration: A numerical study. International Journal of Hydrogen Energy. 101. 1267–1278. 2 indexed citations
2.
Vermorel, Olivier, et al.. (2025). A Thickened flame model extension for the simulation of lean hydrogen-air explosions in confined environments. Combustion and Flame. 275. 114070–114070.
3.
Jaravel, Thomas, et al.. (2024). A modeling strategy for the Thickened Flame simulation of propagating lean hydrogen–air flames. International Journal of Hydrogen Energy. 78. 1133–1141. 4 indexed citations
4.
Lacoste, Deanna A., et al.. (2024). Numerical investigation of lean methane flame response to NRP discharges actuation. Combustion and Flame. 270. 113745–113745. 1 indexed citations
5.
Jaravel, Thomas, et al.. (2024). Numerical study of the flame acceleration mechanisms of a lean hydrogen/air deflagration in an obstructed channel. International Journal of Hydrogen Energy. 89. 224–232. 9 indexed citations
6.
Vermorel, Olivier, et al.. (2024). Detailed validation of LES for H2/CH4/Air deflagrations in an obstructed tube using PIV measurements. Combustion and Flame. 272. 113879–113879. 3 indexed citations
7.
Vermorel, Olivier, et al.. (2024). Flame-turbulence interactions in lean hydrogen flames: Implications for turbulent flame speed and fractal modelling. Combustion and Flame. 273. 113926–113926. 5 indexed citations
8.
Cuenot, Bénédicte, et al.. (2023). A phenomenological model for plasma-assisted combustion with NRP discharges in methane-air mixtures: PACMIND. Combustion and Flame. 253. 112794–112794. 22 indexed citations
9.
Cuenot, Bénédicte, et al.. (2023). Large-Eddy Simulation of swirled flame stabilisation using NRP discharges at atmospheric pressure. Applications in Energy and Combustion Science. 15. 100163–100163. 12 indexed citations
10.
Cuenot, Bénédicte, et al.. (2022). Investigation of the impact of NRP discharge frequency on the ignition of a lean methane-air mixture using fully coupled plasma-combustion numerical simulations. Proceedings of the Combustion Institute. 39(4). 5521–5530. 17 indexed citations
11.
Vermorel, Olivier, et al.. (2021). Jet ignition prediction in a zero-dimensional pre-chamber engine model. International Journal of Engine Research. 23(8). 1353–1368. 5 indexed citations
12.
Jiménez, M. J., Denis Eremin, Laurent Garrigues, et al.. (2021). 2D radial-azimuthal particle-in-cell benchmark for E × B discharges. Plasma Sources Science and Technology. 30(7). 75002–75002. 66 indexed citations
13.
Jaravel, Thomas, et al.. (2020). Deflagration to detonation transition in fast flames and tracking with chemical explosive mode analysis. Proceedings of the Combustion Institute. 38(3). 3529–3536. 15 indexed citations
14.
Staffelbach, Gabriel, et al.. (2019). Large Eddy Simulation of Pre-Chamber Ignition in an Internal Combustion Engine. Flow Turbulence and Combustion. 103(2). 465–483. 58 indexed citations
15.
Bœuf, Jean-Pierre, Anne Bourdon, Johan Carlsson, et al.. (2019). 2D axial-azimuthal particle-in-cell benchmark for low-temperature partially magnetized plasmas. Plasma Sources Science and Technology. 28(10). 105010–105010. 96 indexed citations
16.
Vermorel, Olivier, et al.. (2019). A fluid formalism for low-temperature plasma flows dedicated to space propulsion in an unstructured high performance computing solver. Plasma Sources Science and Technology. 29(9). 95005–95005. 3 indexed citations
17.
Péchereau, François, et al.. (2018). 3D particle-in-cell simulation of a Thruster Anode Layer. Bulletin of the American Physical Society. 1 indexed citations
18.
Vermorel, Olivier, et al.. (2018). ARC versus two-step chemistry and third-order versus second-order numeric scheme for Large Eddy Simulation of the Volvo burner. 2018 AIAA Aerospace Sciences Meeting. 1 indexed citations
19.
Vermorel, Olivier, et al.. (2018). Theoretical analysis and simulation of methane/air flame inhibition by sodium bicarbonate particles. Combustion and Flame. 193. 313–326. 78 indexed citations
20.

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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