Stéphane Jay

848 total citations
32 papers, 689 citations indexed

About

Stéphane Jay is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Automotive Engineering. According to data from OpenAlex, Stéphane Jay has authored 32 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 23 papers in Fluid Flow and Transfer Processes and 7 papers in Automotive Engineering. Recurrent topics in Stéphane Jay's work include Combustion and flame dynamics (28 papers), Advanced Combustion Engine Technologies (23 papers) and Fluid Dynamics and Heat Transfer (8 papers). Stéphane Jay is often cited by papers focused on Combustion and flame dynamics (28 papers), Advanced Combustion Engine Technologies (23 papers) and Fluid Dynamics and Heat Transfer (8 papers). Stéphane Jay collaborates with scholars based in France, Germany and United States. Stéphane Jay's co-authors include Olivier Colin, A. Pires da Cruz, Vincent Knop, A. Benkenida, Marc Massot, Frédérique Laurent, S. Candel, F. Lacas, Cécile Pera and Karine Truffin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal of Hydrogen Energy.

In The Last Decade

Stéphane Jay

31 papers receiving 637 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 Jay France 13 543 516 165 162 122 32 689
Julian T. Kashdan France 15 467 0.9× 510 1.0× 195 1.2× 53 0.3× 268 2.2× 27 749
Morgan Heikal United Kingdom 16 609 1.1× 397 0.8× 67 0.4× 130 0.8× 274 2.2× 50 844
L. Araneo Italy 18 462 0.9× 317 0.6× 83 0.5× 264 1.6× 181 1.5× 52 991
Michele Bolla Switzerland 19 780 1.4× 835 1.6× 166 1.0× 292 1.8× 133 1.1× 45 908
Tsyh Tyan Yeh United States 9 344 0.6× 291 0.6× 65 0.4× 81 0.5× 103 0.8× 22 561
S. Gleis Germany 13 331 0.6× 213 0.4× 30 0.2× 83 0.5× 173 1.4× 26 601
Cécile Pera France 17 756 1.4× 732 1.4× 124 0.8× 257 1.6× 184 1.5× 22 873
Armin Wehrfritz Australia 18 743 1.4× 718 1.4× 101 0.6× 301 1.9× 106 0.9× 33 850
Cristiane Aparecida Martins Brazil 10 210 0.4× 270 0.5× 86 0.5× 121 0.7× 154 1.3× 37 449
David Richardson United Kingdom 13 484 0.9× 531 1.0× 175 1.1× 125 0.8× 114 0.9× 23 714

Countries citing papers authored by Stéphane Jay

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Jay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Jay

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Jay. A scholar is included among the top collaborators of Stéphane Jay 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 Jay. Stéphane Jay 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.
Jay, Stéphane, et al.. (2025). Revisiting the linear forcing of turbulence in two-phase flows. Physical Review Fluids. 10(2). 1 indexed citations
2.
3.
Jay, Stéphane, et al.. (2023). A Lattice-Boltzmann-based modelling chain for traffic-related atmospheric pollutant dispersion at the local urban scale. Building and Environment. 242. 110562–110562. 13 indexed citations
4.
Colin, Olivier, et al.. (2022). ECFM-LES modeling with AMR for the CCV prediction and analysis in lean-burn engines. SHILAP Revista de lepidopterología. 77. 20–20. 4 indexed citations
5.
Truffin, Karine, et al.. (2020). Development and Application of Bivariate 2D-EMD for the Analysis of Instantaneous Flow Structures and Cycle-to-Cycle Variations of In-cylinder Flow. Flow Turbulence and Combustion. 106(1). 231–259. 12 indexed citations
6.
Adomeit, Philipp, et al.. (2019). Study of Ignition Processes of a Lean Burn Engine using Large-Eddy Simulation. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
7.
Truffin, Karine, et al.. (2018). Large-eddy simulation analysis of knock in a direct injection spark ignition engine. International Journal of Engine Research. 20(7). 765–776. 18 indexed citations
8.
Habchi, C., et al.. (2017). Experimental and Numerical Investigation of Dispersed and Continuous Liquid Film under Boiling conditions. RiuNet (Politechnical University of Valencia). 1 indexed citations
9.
Jay, Stéphane, et al.. (2015). EULERIAN MOMENT METHODS FOR AUTOMOTIVE SPRAYS. Atomization and Sprays. 25(3). 189–254. 10 indexed citations
10.
Tran, Quang Huy, et al.. (2015). High order moment method for polydisperse evaporating sprays with mesh movement: Application to internal combustion engines. International Journal of Multiphase Flow. 71. 38–65. 16 indexed citations
11.
Michel, Jean‐Baptiste, et al.. (2013). Evaluation of Different Tabulation Techniques Dedicated to the Prediction of the Combustion and Pollutants Emissions on a Diesel Engine with 3D CFD. SAE technical papers on CD-ROM/SAE technical paper series. 1. 12 indexed citations
12.
Laurent, Frédérique, et al.. (2011). A high order moment method simulating evaporation and advection of a polydisperse liquid spray. Journal of Computational Physics. 231(2). 394–422. 49 indexed citations
13.
Jay, Stéphane & Olivier Colin. (2010). A variable volume approach of tabulated detailed chemistry and its applications to multidimensional engine simulations. Proceedings of the Combustion Institute. 33(2). 3065–3072. 20 indexed citations
14.
Pera, Cécile, Olivier Colin, & Stéphane Jay. (2009). Development of a FPI Detailed Chemistry Tabulation Methodology for Internal Combustion Engines. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 64(3). 243–258. 38 indexed citations
15.
Knop, Vincent, et al.. (2007). Controlling CAI™ Combustion Mode with VVA: A Simulation Approach. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
16.
Jay, Stéphane, et al.. (2007). Modeling Coupled Processes of CO and Soot Formation and Oxidation for Conventional and HCCI Diesel Combustion. SAE technical papers on CD-ROM/SAE technical paper series. 1. 15 indexed citations
17.
Knop, Vincent & Stéphane Jay. (2006). Latest Developments in Gasoline Auto-Ignition Modelling Applied to an Optical CAI (Tm) Engine. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 61(1). 121–137. 19 indexed citations
18.
Jay, Stéphane, et al.. (2006). Towards Even Cleaner Diesel Engines: Contribution of 3D CFD Tools. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 61(1). 43–56. 7 indexed citations
19.
Laget, Olivier, et al.. (2005). Gasoline Engine Development using CFD. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
20.
Colin, Olivier, A. Pires da Cruz, & Stéphane Jay. (2005). Detailed chemistry-based auto-ignition model including low temperature phenomena applied to 3-D engine calculations. Proceedings of the Combustion Institute. 30(2). 2649–2656. 162 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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