Aurélien Larcher

669 citations
24 papers · 482 · 1 hit paper · h-index 11

Impact in

    • Model Reduction and Neural Networks
    • Fluid Dynamics and Turbulent Flows
    • Lattice Boltzmann Simulation Studies
    • Fluid Dynamics and Vibration Analysis
    • Computational Fluid Dynamics and Aerodynamics
    • Advanced Numerical Methods in Computational Mathematics
    • Fluid Dynamics and Heat Transfer
    • Fluid Dynamics Simulations and Interactions

Papers in

Aurélien Larcher

24 papers receiving 472 citations

Aurélien Larcher's Hit Papers

A review on deep reinforcement learning for fluid mechanics 2021 · 186 citations
1860+1+3Years since publication50100150

Peers

Aurélien Larcher
Comparison fields: 5 of 66
  • Statistical and Nonlinear Physics 190
  • Computational Mechanics 296
  • Aerospace Engineering 90
  • Fluid Flow and Transfer Processes 16
  • Surfaces, Coatings and Films 16
Replace Qiming Zhu with:
Qiming Zhu United States
U. Küttler Germany
Aziz Hamdouni France
Feng Ren China
Xinshuai Zhang China
S. Wright United States
Tianyuan Liu China
Hasan Güneş Türkiye
Domenico Borzacchiello France
Yasuo OSAWA United States
Aurélien Larcher relative to Qiming Zhu United States Qiming Zhu's profile →
Citations per field
00.5×
Qiming Zhu · 1×
Citations per year

Countries citing papers authored by Aurélien Larcher

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Larcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Aurélien Larcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aurélien Larcher Line = papers co-authored together Aurélien Larcher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review on deep reinforcement learning for fluid mechanics
Hit paper breakdown →
2021186
2 202271
3 202137
4 201624
5 202021
6 201920
7 201918
8 202113
9 201912
10 202212
11 202112
12 202210
13 20238
14 20247
15 20206
16 20234
17 20234
18 20224
19 20114
20 20143

About Aurélien Larcher

Aurélien Larcher is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Numerical Analysis, Neurology and Computational Theory and Mathematics, having authored 24 papers that have together received 482 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (10 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Model Reduction and Neural Networks (7 papers), Fluid Dynamics and Turbulent Flows (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Fluid Dynamics Simulations and Interactions (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (190 citations), Computational Mechanics (296 citations), Aerospace Engineering (90 citations), Fluid Flow and Transfer Processes (16 citations) and Surfaces, Coatings and Films (16 citations). Aurélien Larcher has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Elie Hachem, Jonathan Viquerat, Philippe Méliga, Alexander Kuhnle, Jean Rabault, Murtazo Nazarov, Anselmo Soeiro Pereira, Thierry Coupez, Rudy Valette and J.‐C. Latché. Their work appears in journals such as Physics of Fluids, Computers & Fluids, Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics and Journal of Non-Newtonian Fluid Mechanics.

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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