Aurélien Larcher

707 citations
24 papers · 511 · 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 Simulations and Interactions

Papers in

Aurélien Larcher

24 papers receiving 497 citations

Aurélien Larcher's Hit Papers

A review on deep reinforcement learning for fluid mechanics 2021 · 196 citations
1960+1+3Years since publication50100150

Peers

Aurélien Larcher
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 196
  • Computational Mechanics 303
  • Aerospace Engineering 94
  • Fluid Flow and Transfer Processes 17
  • Surfaces, Coatings and Films 17
Replace Qiming Zhu with:
Qiming Zhu United States
U. Küttler Germany
S. Wright United States
Tianyuan Liu China
Hasan Güneş Türkiye
Aziz Hamdouni France
Xinshuai Zhang China
Charles-Henri Bruneau France
S. E. Ray United States
Domenico Borzacchiello France
Aurélien Larcher relative to Qiming Zhu United States Qiming Zhu's profile →
Citations per field
00.5×8.5×
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 20 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 →
2021196
2 202277
3 202138
4 201625
5 202023
6 201922
7 201919
8 202113
9 202213
10 202113
11 201912
12 202310
13 202210
14 20248
15 20206
16 20234
17 20234
18 20224
19 20244
20 20114

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 511 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), Advanced Mathematical Modeling in Engineering (3 papers), Fluid Dynamics Simulations and Interactions (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (196 citations), Computational Mechanics (303 citations), Aerospace Engineering (94 citations), Fluid Flow and Transfer Processes (17 citations) and Surfaces, Coatings and Films (17 citations). Aurélien Larcher has collaborated with scholars based in France, Germany and Norway. Frequent co-authors include Elie Hachem, Jonathan Viquerat, Philippe Méliga, Alexander Kuhnle, Jean Rabault, Murtazo Nazarov, Rudy Valette, Anselmo Soeiro Pereira, Thierry Coupez and Youssef Mesri. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Physics of Fluids, Computers & Fluids, Journal of Computational Physics and Mathematics of Computation.

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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