David Néron
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- Probabilistic and Robust Engineering Design 17
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- Model Reduction and Neural Networks 24
- Mechanics of Materials top 5%
- Numerical methods in engineering 9
- Composite Material Mechanics 5
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- Advanced Mathematical Modeling in Engineering 7
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 10
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- Structural Health Monitoring Techniques 4
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- Numerical methods for differential equations 4
- Co-authors
- Pierre LadevèzePierre‐Alain BoucardDavid DureisseixNicolas RelunAmélie FauUdo NackenhorstPierre GosseletJean‐Charles Passieux
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsMechanics of Materials
In The Last Decade
David Néron
40 papers receiving 497 citations
Peers
Comparison fields: 5 of 49
- Statistics, Probability and Uncertainty 205
- Statistical and Nonlinear Physics 256
- Mechanics of Materials 242
- Computational Theory and Mathematics 109
- Computational Mechanics 123
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 32 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 8 | |
| 12 | 2017 | 3 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 16 | |
| 15 | 2012 | 35 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 1 | |
| 18 | The LATIN multiscale strategy and the time-space approximation | 2007 | 1 |
| 19 | 2006 | 30 | |
| 20 | 2003 | 15 |
About David Néron
David Néron is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 40 papers that have together received 515 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (24 papers), Probabilistic and Robust Engineering Design (17 papers), Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (9 papers), Advanced Mathematical Modeling in Engineering (7 papers), Composite Material Mechanics (5 papers), Structural Health Monitoring Techniques (4 papers) and Numerical methods for differential equations (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (205 citations), Statistical and Nonlinear Physics (256 citations), Mechanics of Materials (242 citations), Computational Theory and Mathematics (109 citations) and Computational Mechanics (123 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, Pierre Gosselet, Jean‐Charles Passieux, Massimiliano Cremonesi and Pierre‐Alain Guidault. Their work appears in journals such as Computational Mechanics, Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering, Finite Elements in Analysis and Design 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.