David Néron
Impact in
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- Probabilistic and Robust Engineering Design
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- Model Reduction and Neural Networks
Papers in
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- Model Reduction and Neural Networks 29
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- Probabilistic and Robust Engineering Design 20
- Co-authors
- Pierre Ladevèze (23 shared papers)Pierre‐Alain Boucard (10 shared papers)David Dureisseix (5 shared papers)Nicolas Relun (4 shared papers)Amélie Fau (8 shared papers)Udo Nackenhorst (7 shared papers)Jean‐Charles Passieux (3 shared papers)Pierre‐Alain Guidault (3 shared papers)
In The Last Decade
David Néron
49 papers receiving 610 citations
Peers
Comparison fields: 5 of 52
- Statistics, Probability and Uncertainty 247
- Statistical and Nonlinear Physics 308
- Mechanics of Materials 282
- Computational Theory and Mathematics 120
- Computational Mechanics 144
Countries citing papers authored by David Néron
This map shows the geographic impact of David Néron'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 David Néron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Néron more than expected).
Fields of papers citing papers by David Néron
This network shows the impact of papers produced by David Néron. 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 David Néron. The network helps show where David Néron may publish in the future.
Co-authors
The 25 scholars most cited alongside David Néron, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 39 | |
| 2 | 2013 | 39 | |
| 3 | 2015 | 38 | |
| 4 | 2008 | 34 | |
| 5 | 2019 | 34 | |
| 6 | 2006 | 33 | |
| 7 | 2010 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2013 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 20 | |
| 13 | 2003 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2014 | 19 | |
| 16 | 2009 | 17 | |
| 17 | 2007 | 16 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2018 | 10 |
About David Néron
David Néron is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Mechanics of Materials, Computational Mechanics and Computational Theory and Mathematics, having authored 51 papers that have together received 618 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (29 papers), Probabilistic and Robust Engineering Design (20 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Numerical methods in engineering (11 papers), Composite Material Mechanics (8 papers), Advanced Mathematical Modeling in Engineering (8 papers), Structural Health Monitoring Techniques (6 papers) and Elasticity and Material Modeling (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (247 citations), Statistical and Nonlinear Physics (308 citations), Mechanics of Materials (282 citations), Computational Theory and Mathematics (120 citations) and Computational Mechanics (144 citations). David Néron has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Pierre Ladevèze, Pierre‐Alain Boucard, David Dureisseix, Nicolas Relun, Amélie Fau, Udo Nackenhorst, Jean‐Charles Passieux, Pierre‐Alain Guidault, Pierre Gosselet and Massimiliano Cremonesi. Their work appears in journals such as Computational Mechanics, Computer Methods in Applied Mechanics and Engineering, Finite Elements in Analysis and Design, International Journal for Numerical Methods in Engineering and Advanced Modeling and Simulation in Engineering Sciences.
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.