Sylvain Dubreuil

436 citations
29 papers · 298 indexed · h-index 10

Sylvain Dubreuil

28 papers receiving 295 citations

Peers

Sylvain Dubreuil
Comparison fields: 5 of 46
  • Statistics, Probability and Uncertainty 166
  • Computational Theory and Mathematics 143
  • Management Science and Operations Research 61
  • Global and Planetary Change 68
  • Statistical and Nonlinear Physics 38
Replace Rémi Lafage with:
Rémi Lafage France
Lavi Rizki Zuhal Indonesia
Wencai Luo China
Jerome P. Jarrett United Kingdom
Renhe Shi China
Lawrence Green United States
M. Giselle Fernández-Godino United States
Lawrence L. Green United States
Leo Wai-Tsun Ng United States
Alexandre Janon France
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Citations per field
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Citations per year

Countries citing papers authored by Sylvain Dubreuil

Since Specialization
Citations

This map shows the geographic impact of Sylvain Dubreuil'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 Sylvain Dubreuil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Dubreuil more than expected).

Fields of papers citing papers by Sylvain Dubreuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvain Dubreuil. 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 Sylvain Dubreuil. The network helps show where Sylvain Dubreuil may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sylvain Dubreuil, 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 Sylvain Dubreuil Line = papers co-authored together Sylvain Dubreuil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20244
3 20241
4 20241
5 20241
6 20231
7
Disciplinary surrogates for gradient-based optimization of multidisciplinary systems
20231
8 20230
9 20232
10 202316
11 20229
12 202015
13 202016
14 201912
15 201978
16 201913
17
Overview of MDO enhancement in the AGILE project: a clustered and surrogate-based MDA use case
20181
18 201818
19 201722
20 20092

About Sylvain Dubreuil

Sylvain Dubreuil is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research, having authored 29 papers that have together received 298 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Optimal Experimental Design Methods (6 papers), Wind and Air Flow Studies (3 papers), Advanced Aircraft Design and Technologies (3 papers), Statistical Distribution Estimation and Applications (3 papers), Model Reduction and Neural Networks (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (166 citations), Computational Theory and Mathematics (143 citations) and Management Science and Operations Research (61 citations). Sylvain Dubreuil has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Nathalie Bartoli, Thierry Lefèbvre, Christian Gogu, Michel Salaün, Joaquim R. R. A. Martins, Marc Berveiller, Joseph Morlier, Jérôme Morio, Fabrizio Nicolosi and Christian Genest. Their work appears in journals such as Reliability Engineering & System Safety, Structural and Multidisciplinary Optimization, Aerospace Science and Technology, Journal of Mechanical Design and Acta Astronautica.

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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