Loïc Brevault

779 total citations
32 papers, 468 citations indexed

About

Loïc Brevault is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Aerospace Engineering. According to data from OpenAlex, Loïc Brevault has authored 32 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 20 papers in Statistics, Probability and Uncertainty and 10 papers in Aerospace Engineering. Recurrent topics in Loïc Brevault's work include Advanced Multi-Objective Optimization Algorithms (20 papers), Probabilistic and Robust Engineering Design (19 papers) and Rocket and propulsion systems research (7 papers). Loïc Brevault is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (20 papers), Probabilistic and Robust Engineering Design (19 papers) and Rocket and propulsion systems research (7 papers). Loïc Brevault collaborates with scholars based in France, United States and Malaysia. Loïc Brevault's co-authors include Mathieu Balesdent, El‐Ghazali Talbi, Nouredine Melab, Jérôme Morio, Francesca Favarò, Samy Missoum, Joseph H. Saleh, Rodolphe Le Riche, Nicolas Bérend and Sébastien Defoort and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

In The Last Decade

Loïc Brevault

30 papers receiving 456 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Loïc Brevault France 12 242 161 91 64 61 32 468
Harok Bae United States 11 525 2.2× 204 1.3× 60 0.7× 18 0.3× 63 1.0× 44 631
Durga Rao Karanki Switzerland 8 274 1.1× 26 0.2× 88 1.0× 20 0.3× 115 1.9× 13 445
Ruoxue Zhang United States 8 392 1.6× 85 0.5× 64 0.7× 40 0.6× 98 1.6× 12 707
Mathieu Balesdent France 16 442 1.8× 344 2.1× 173 1.9× 106 1.7× 95 1.6× 46 824
Shiyuan Yang China 9 214 0.9× 95 0.6× 31 0.3× 54 0.8× 58 1.0× 14 503
Zhiyuan Lv China 7 209 0.9× 109 0.7× 28 0.3× 47 0.7× 47 0.8× 13 428
Liye Lv China 12 200 0.8× 250 1.6× 34 0.4× 90 1.4× 17 0.3× 27 516
Sean P. Kenny United States 12 417 1.7× 195 1.2× 80 0.9× 39 0.6× 54 0.9× 50 560
Atin Roy India 10 343 1.4× 113 0.7× 21 0.2× 47 0.7× 81 1.3× 16 639

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-authorship network of co-authors of Loïc Brevault

This figure shows the co-authorship network connecting the top 25 collaborators of Loïc Brevault. A scholar is included among the top collaborators of Loïc Brevault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Loïc Brevault. Loïc Brevault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urbano, Annafederica, et al.. (2025). Bayesian Quality-Diversity optimization for conditional search-space problems. Optimization and Engineering.
2.
Brevault, Loïc & Mathieu Balesdent. (2024). Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables. Engineering Applications of Artificial Intelligence. 133. 108118–108118. 1 indexed citations
3.
Balesdent, Mathieu, et al.. (2024). A survey on multi-fidelity surrogates for simulators with functional outputs: Unified framework and benchmark. Computer Methods in Applied Mechanics and Engineering. 435. 117577–117577. 5 indexed citations
4.
Balesdent, Mathieu, et al.. (2023). Sequential calibration of material constitutive model using mixed-effects calibration. Mechanics & Industry. 24. 32–32.
5.
Balesdent, Mathieu, et al.. (2022). Deep Gaussian process for multi-objective Bayesian optimization. Optimization and Engineering. 24(3). 1809–1848. 23 indexed citations
6.
Balesdent, Mathieu, et al.. (2022). All-At-Once formulation integrating pseudo-spectral optimal control for launch vehicle design and uncertainty quantification. Acta Astronautica. 200. 462–477. 4 indexed citations
7.
Brevault, Loïc, et al.. (2022). Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function. Applied Sciences. 12(19). 10027–10027. 1 indexed citations
8.
Brevault, Loïc, et al.. (2021). Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design. Journal of Aerospace Information Systems. 18(11). 813–837. 5 indexed citations
9.
Brevault, Loïc, et al.. (2021). CALIBRATION OF MATERIAL MODEL PARAMETERS USING MIXED-EFFECTS MODEL. HAL (Le Centre pour la Communication Scientifique Directe). 258–295. 1 indexed citations
10.
Brevault, Loïc, et al.. (2020). Multi-fidelity modeling with different input domain definitions using\n Deep Gaussian Processes. arXiv (Cornell University). 35 indexed citations
11.
Brevault, Loïc, Mathieu Balesdent, & Jérôme Morio. (2020). Aerospace System Analysis and Optimization in Uncertainty. Springer optimization and its applications. 11 indexed citations
12.
Brevault, Loïc, et al.. (2020). Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities, application to aerospace systems. Aerospace Science and Technology. 107. 106339–106339. 48 indexed citations
13.
14.
Brevault, Loïc, et al.. (2019). Multi-objective optimization using Deep Gaussian Processes: Application to Aerospace Vehicle Design. AIAA Scitech 2019 Forum. 11 indexed citations
15.
Brevault, Loïc, Mathieu Balesdent, & Sébastien Defoort. (2017). Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies. Concurrent Engineering. 26(1). 93–103. 9 indexed citations
16.
Brevault, Loïc, et al.. (2016). Reliability Analysis in the Presence of Aleatory and Epistemic Uncertainties, Application to the Prediction of a Launch Vehicle Fallout Zone. Journal of Mechanical Design. 138(11). 31 indexed citations
17.
Brevault, Loïc, Mathieu Balesdent, Nicolas Bérend, & Rodolphe Le Riche. (2015). Decoupled Multidisciplinary Design Optimization Formulation for Interdisciplinary Coupling Satisfaction Under Uncertainty. AIAA Journal. 54(1). 186–205. 19 indexed citations
18.
Brevault, Loïc, Mathieu Balesdent, Nicolas Bérend, & Rodolphe Le Riche. (2015). Multi-level hierarchical MDO formulation with functional coupling satisfaction under uncertainty, application to sounding rocket design. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
19.
Balesdent, Mathieu, Jérôme Morio, & Loïc Brevault. (2014). Rare Event Probability Estimation in the Presence of Epistemic Uncertainty on Input Probability Distribution Parameters. Methodology And Computing In Applied Probability. 18(1). 197–216. 20 indexed citations
20.
Saleh, Joseph H., et al.. (2013). Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems. Reliability Engineering & System Safety. 114. 148–154. 57 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Harok Bae Breakdown of academic impact, for papers by Durga Rao Karanki Breakdown of academic impact, for papers by Ruoxue Zhang Breakdown of academic impact, for papers by Mathieu Balesdent Breakdown of academic impact, for papers by Shiyuan Yang Breakdown of academic impact, for papers by Zhiyuan Lv Breakdown of academic impact, for papers by Liye Lv Breakdown of academic impact, for papers by Sean P. Kenny Breakdown of academic impact, for papers by Atin Roy
Rankless by CCL
2026