Corentin Lapeyre

512 total citations
20 papers, 323 citations indexed

About

Corentin Lapeyre is a scholar working on Computational Mechanics, Environmental Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Corentin Lapeyre has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 6 papers in Environmental Engineering and 6 papers in Fluid Flow and Transfer Processes. Recurrent topics in Corentin Lapeyre's work include Combustion and flame dynamics (10 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Advanced Combustion Engine Technologies (6 papers). Corentin Lapeyre is often cited by papers focused on Combustion and flame dynamics (10 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Advanced Combustion Engine Technologies (6 papers). Corentin Lapeyre collaborates with scholars based in France, Israel and Germany. Corentin Lapeyre's co-authors include Thierry Poinsot, Antony Misdariis, Denis Veynante, Laurent Selle, Nicolas Odier, Max Chevalier, Olivier Teste, Davide Laera, Thierry Schuller and Olivier Pannekoucke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Corentin Lapeyre

19 papers receiving 313 citations

Peers

Countries citing papers authored by Corentin Lapeyre

Since Specialization

Citations

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

Fields of papers citing papers by Corentin Lapeyre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corentin Lapeyre

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation 2025 ·Open MIND ·(unknown), Corentin Lapeyre, Nicolas Noiray	1
2	Extending the machine-learned optimised stable Taylor-Galerkin scheme to solve the Burgers' equation 2024 ·Journal of Computational Physics ·(unknown), Corentin Lapeyre, Guillaume Daviller, Amir Adler, Gabriel Staffelbach	0
3	Using graph neural networks for wall modeling in compressible anisothermal flows 2024 ·SHILAP Revista de lepidopterología ·(unknown), Nicolas Odier, Corentin Lapeyre	4
4	Graph and convolutional neural network coupling with a high-performance large-eddy simulation solver 2024 ·Computers & Fluids ·(unknown), (unknown), (unknown), Corentin Lapeyre, Gabriel Staffelbach	5
5	Chemiluminescence- and machine learning-based monitoring of premixed ammonia-methane-air flames 2023 ·Applications in Energy and Combustion Science ·Thibault F. Guiberti, (unknown), (unknown), Xuren Zhu, Laurent Selle, Corentin Lapeyre	11
6	Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics 2023 ·Journal of Computational Physics ·(unknown), (unknown), Lionel Tim‐Ee Cheng, Corentin Lapeyre, Guillaume Daviller, (unknown), Amir Adler, Gabriel Staffelbach, Thierry Poinsot	4
7	Flood forecasting with Machine Learning in a scarce data layout 2023 ·IOP Conference Series Earth and Environmental Science ·(unknown), Sophie Ricci, Corentin Lapeyre, (unknown), (unknown)	1
8	Modeling the wall shear stress in large-eddy simulation using graph neural networks 2023 ·SHILAP Revista de lepidopterología ·(unknown), Nicolas Odier, Corentin Lapeyre, Dimitrios Papadogiannis	7
9	Direct numerical simulations of methane, ammonia-hydrogen and hydrogen turbulent premixed flames 2023 ·Combustion and Flame ·(unknown), (unknown), (unknown), Davide Laera, Corentin Lapeyre, Thierry Poinsot	30
10	Data-driven wall modeling for turbulent separated flows 2023 ·Journal of Computational Physics ·(unknown), Nicolas Odier, Corentin Lapeyre	12
11	Probabilistic deep learning of turbulent premixed combustion 2023 ·AIP Advances ·(unknown), (unknown), Michael Pfitzner, Corentin Lapeyre	2
12	Surrogate modelling for an aircraft dynamic landing loads simulation using an LSTM AutoEncoder-based dimensionality reduction approach 2022 ·Aerospace Science and Technology ·(unknown), Max Chevalier, (unknown), (unknown), Corentin Lapeyre, Olivier Teste	32
13	Physics-constrained deep learning forecasting: an application with capacitance resistive model 2022 ·Computational Geosciences ·(unknown), D. Busby, Max Chevalier, Corentin Lapeyre, Olivier Teste	3
14	Detection of precursors of combustion instability using convolutional recurrent neural networks 2021 ·Combustion and Flame ·(unknown), Corentin Lapeyre, (unknown), Thierry Poinsot, Thierry Schuller, Laurent Selle	26
15	Producing realistic climate data with generative adversarial networks 2021 ·Nonlinear processes in geophysics ·(unknown), Olivier Pannekoucke, Corentin Lapeyre, Benjamin M. Sanderson, Olivier Thual	20
16	Generalization Capability of Convolutional Neural Networks for Progress Variable Variance and Reaction Rate Subgrid-Scale Modeling 2021 ·Energies ·(unknown), Corentin Lapeyre, Thomas Jaravel, Thierry Poinsot	9
17	Deep-CRM: A New Deep Learning Approach for Capacitance Resistive Models 2020 ·(unknown), D. Busby, Max Chevalier, Corentin Lapeyre, Olivier Teste	4
18	Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates 2019 ·Combustion and Flame ·Corentin Lapeyre, Antony Misdariis, (unknown), Denis Veynante, Thierry Poinsot	125
19	Isolating strain and curvature effects in premixed flame/vortex interactions 2017 ·Journal of Fluid Mechanics ·(unknown), Fabien Halter, Chaimae Bariki, Corentin Lapeyre, Christian Chauveau, İskender Gökalp, Laurent Selle, Thierry Poinsot	16
20	Acoustically Induced Flashback in a Staged Swirl-Stabilized Combustor 2016 ·Flow Turbulence and Combustion ·Corentin Lapeyre, (unknown), Philippe Scouflaire, Franck Richecœur, Sébastien Ducruix, Thierry Poinsot	11

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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