Gaël Poëtte
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- Probabilistic and Robust Engineering Design 14
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- Model Reduction and Neural Networks 11
- Scientific Research and Discoveries 2
- Environmental Engineering top 10%
- Wind and Air Flow Studies 6
- Computational Mechanics top 10%
- Applied Mathematics top 10%
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- Nuclear Engineering Thermal-Hydraulics 3
- Nuclear reactor physics and engineering 3
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- Structural Health Monitoring Techniques 2
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- Gaussian Processes and Bayesian Inference 1
- Co-authors
- Didier LucorBruno DesprésDavid LugatoPietro Marco CongedoHervé JourdrenEmeric BrunG. RobertJ. Gardelle
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsEnvironmental Engineering
- Journals
- Journal of Computational Physics (9 papers)Comptes Rendus Mathématique (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Gaël Poëtte
21 papers receiving 249 citations
Peers
Comparison fields: 5 of 65
- Statistics, Probability and Uncertainty 184
- Statistical and Nonlinear Physics 88
- Environmental Engineering 81
- Computational Mechanics 94
- Applied Mathematics 29
Countries citing papers authored by Gaël Poëtte
This map shows the geographic impact of Gaël Poëtte'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 Gaël Poëtte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Poëtte more than expected).
Fields of papers citing papers by Gaël Poëtte
This network shows the impact of papers produced by Gaël Poëtte. 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 Gaël Poëtte. The network helps show where Gaël Poëtte may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Gaël Poëtte, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 15 | |
| 14 | 2017 | 6 | |
| 15 | 2014 | 18 | |
| 16 | 2014 | 6 | |
| 17 | 2012 | 21 | |
| 18 | 2012 | 2 | |
| 19 | 2010 | 11 | |
| 20 | 2008 | 118 |
About Gaël Poëtte
Gaël Poëtte is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Acoustics and Ultrasonics, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Model Reduction and Neural Networks (11 papers), Wind and Air Flow Studies (6 papers), Nuclear Engineering Thermal-Hydraulics (3 papers), Nuclear reactor physics and engineering (3 papers), Structural Health Monitoring Techniques (2 papers), Scientific Research and Discoveries (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (184 citations), Statistical and Nonlinear Physics (88 citations) and Environmental Engineering (81 citations). Gaël Poëtte has collaborated with scholars based in France and United States. Frequent co-authors include Didier Lucor, Bruno Després, David Lugato, Pietro Marco Congedo, Hervé Jourdren, Emeric Brun, G. Robert, J. Gardelle, Philippe Legrand and David G. Hebert. Their work appears in journals such as Journal of Computational Physics, Comptes Rendus Mathématique, Computer Methods in Applied Mechanics and Engineering, Communications in Computational Physics and Mathematics and Computers in Simulation.
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.