Adrien Leygue
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Composite Structure Analysis and Optimization 9
- Numerical methods in engineering 9
- Composite Material Mechanics 9
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- Advanced Numerical Methods in Computational Mathematics 9
- Co-authors
- Francisco Chinesta (39 shared papers)R. Keunings (11 shared papers)Amine Ammar (8 shared papers)Elías Cueto (16 shared papers)Felipe Bordeu (10 shared papers)Laurent Stainier (8 shared papers)Erwan Verron (12 shared papers)Brice Bognet (9 shared papers)
In The Last Decade
Adrien Leygue
87 papers receiving 2.5k citations
Adrien Leygue's Hit Papers
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 968
- Statistics, Probability and Uncertainty 494
- Computational Mathematics 35
- Fluid Flow and Transfer Processes 240
- Mechanics of Materials 829
Countries citing papers authored by Adrien Leygue
This map shows the geographic impact of Adrien Leygue'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 Adrien Leygue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Leygue more than expected).
Fields of papers citing papers by Adrien Leygue
This network shows the impact of papers produced by Adrien Leygue. 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 Adrien Leygue. The network helps show where Adrien Leygue may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrien Leygue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 239 | |
| 2 | The Proper Generalized Decomposition for Advanced Numerical Simulations Hit paper breakdown → | 2013 | 225 |
| 3 | 2011 | 191 | |
| 4 | 2013 | 165 | |
| 5 | 2011 | 143 | |
| 6 | 2017 | 118 | |
| 7 | 2011 | 96 | |
| 8 | 2019 | 95 | |
| 9 | 2012 | 91 | |
| 10 | 2013 | 83 | |
| 11 | 2013 | 68 | |
| 12 | 2012 | 56 | |
| 13 | 2019 | 54 | |
| 14 | 2021 | 51 | |
| 15 | 2014 | 50 | |
| 16 | 2014 | 46 | |
| 17 | 2011 | 41 | |
| 18 | 2012 | 37 | |
| 19 | 2012 | 37 | |
| 20 | 2019 | 36 |
About Adrien Leygue
Adrien Leygue is a scholar working on Mechanics of Materials, Computational Mechanics, Statistical and Nonlinear Physics, Mechanical Engineering and Biomedical Engineering, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (23 papers), Elasticity and Material Modeling (13 papers), Probabilistic and Robust Engineering Design (12 papers), Rheology and Fluid Dynamics Studies (12 papers), Composite Structure Analysis and Optimization (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Numerical methods in engineering (9 papers) and Composite Material Mechanics (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (968 citations), Statistics, Probability and Uncertainty (494 citations), Computational Mathematics (35 citations), Fluid Flow and Transfer Processes (240 citations) and Mechanics of Materials (829 citations). Adrien Leygue has collaborated with scholars based in France, Spain and Belgium. Frequent co-authors include Francisco Chinesta, R. Keunings, Amine Ammar, Elías Cueto, Felipe Bordeu, Laurent Stainier, Erwan Verron, Brice Bognet, F. Chinesta and F. Chinesta. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Non-Newtonian Fluid Mechanics, Computational Mechanics, International Journal of Material Forming and Composites Part A Applied Science and Manufacturing.
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.