Loïc Brevault

30 papers receiving 456 citations

Peers

Loïc Brevault
Comparison fields: 5 of 76
  • Statistics, Probability and Uncertainty 242
  • Computational Theory and Mathematics 161
  • Radiological and Ultrasound Technology 41
  • Medical Laboratory Technology 12
  • Safety, Risk, Reliability and Quality 61
Replace Durga Rao Karanki with:
Durga Rao Karanki Switzerland
Ruoxue Zhang United States
Zhiyuan Lv China
Harok Bae United States
Shiyuan Yang China
Ester Ciancamerla Italy
M. Minichino Italy
Changcong Zhou China
Mathieu Balesdent France
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Citations per field
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Citations per year

Countries citing papers authored by Loïc Brevault

Since Specialization
Citations

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

Fields of papers citing papers by Loïc Brevault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Loïc Brevault, 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 Loïc Brevault Line = papers co-authored together Loïc Brevault links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 202048
3 202037
4 202035
5 201631
6 202031
7 202130
8 202223
9 201523
10 201420
11 201519
12 202314
13 201911
14 202011
15 201511
16
Challenges and future trends in Uncertainty-Based Multidisciplinary Design Optimization for space transportation system design
201310
17
Comparison of different global sensitivity analysis methods for aerospace vehicle optimal design
201310
18 20179
19 20217
20 20146

About Loïc Brevault

Loïc Brevault is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Aerospace Engineering, Management Science and Operations Research and Artificial Intelligence, having authored 32 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (20 papers), Probabilistic and Robust Engineering Design (19 papers), Optimal Experimental Design Methods (7 papers), Rocket and propulsion systems research (7 papers), Spacecraft Design and Technology (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Spacecraft and Cryogenic Technologies (3 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (242 citations), Computational Theory and Mathematics (161 citations), Radiological and Ultrasound Technology (41 citations), Medical Laboratory Technology (12 citations) and Safety, Risk, Reliability and Quality (61 citations). Loïc Brevault has collaborated with scholars based in France, United States and Malaysia. Frequent co-authors include Mathieu Balesdent, El‐Ghazali Talbi, Nouredine Melab, Jérôme Morio, Samy Missoum, Joseph H. Saleh, Francesca Favarò, Rodolphe Le Riche, Nicolas Bérend and Sébastien Defoort. Their work appears in journals such as Acta Astronautica, Optimization and Engineering, Journal of Mechanical Design, Reliability Engineering & System Safety and Structural and Multidisciplinary Optimization.

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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