Olivier Roustant

2.2k total citations · 1 hit paper
52 papers, 1.3k citations indexed

About

Olivier Roustant is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Olivier Roustant has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 25 papers in Statistics, Probability and Uncertainty and 17 papers in Artificial Intelligence. Recurrent topics in Olivier Roustant's work include Advanced Multi-Objective Optimization Algorithms (26 papers), Probabilistic and Robust Engineering Design (23 papers) and Gaussian Processes and Bayesian Inference (13 papers). Olivier Roustant is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (26 papers), Probabilistic and Robust Engineering Design (23 papers) and Gaussian Processes and Bayesian Inference (13 papers). Olivier Roustant collaborates with scholars based in France, Switzerland and Germany. Olivier Roustant's co-authors include David Ginsbourger, Yves Deville, Bertrand Iooss, Amandine Marrel, Béatrice Laurent, Victor Picheny, Raphael T. Haftka, Nam‐Ho Kim, Nicolas Durrande and Laurent Carraro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and European Journal of Operational Research.

In The Last Decade

Olivier Roustant

45 papers receiving 1.3k citations

Hit Papers

DiceKriging,DiceOptim: TwoRPackages for the Analysis of C... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Roustant France 16 589 571 348 326 167 52 1.3k
David Ginsbourger Switzerland 21 870 1.5× 693 1.2× 540 1.6× 476 1.5× 162 1.0× 53 1.8k
John A. Cafeo United States 7 356 0.6× 489 0.9× 197 0.6× 205 0.6× 119 0.7× 28 1.0k
Amandine Marrel France 15 274 0.5× 509 0.9× 157 0.5× 128 0.4× 148 0.9× 38 934
James Gattiker United States 12 284 0.5× 394 0.7× 162 0.5× 247 0.8× 86 0.5× 26 1.1k
Zhonghua Han China 23 1.2k 2.1× 1.0k 1.8× 391 1.1× 244 0.7× 217 1.3× 158 2.6k
Jason L. Loeppky Canada 13 395 0.7× 265 0.5× 348 1.0× 131 0.4× 125 0.7× 30 990
Geoffrey T. Parks United Kingdom 27 782 1.3× 443 0.8× 116 0.3× 491 1.5× 297 1.8× 159 2.7k
Rommel G. Regis United States 23 1.5k 2.6× 446 0.8× 430 1.2× 1.0k 3.1× 236 1.4× 41 2.5k
Fabrice Gamboa France 19 176 0.3× 486 0.9× 112 0.3× 160 0.5× 182 1.1× 79 1.3k
J. Sacks United States 12 279 0.5× 408 0.7× 230 0.7× 156 0.5× 66 0.4× 17 900

Countries citing papers authored by Olivier Roustant

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Roustant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Roustant

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Roustant. A scholar is included among the top collaborators of Olivier Roustant 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 Olivier Roustant. Olivier Roustant 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.
Roustant, Olivier, et al.. (2025). Fast pick-freeze estimation of Sobol’ sensitivity maps using basis expansions. Reliability Engineering & System Safety. 265. 111504–111504.
2.
Henderson, I.A., Pascal Noble, & Olivier Roustant. (2023). Covariance models and Gaussian process regression for the wave equation. Application to related inverse problems. Journal of Computational Physics. 494. 112519–112519.
3.
Roustant, Olivier, et al.. (2023). GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS. International Journal for Uncertainty Quantification. 13(6). 57–82. 1 indexed citations
4.
Roustant, Olivier, Jérémy Rohmer, Olivier Alata, et al.. (2021). Functional principal component analysis for global sensitivity analysis of model with spatial output. Reliability Engineering & System Safety. 211. 107522–107522. 23 indexed citations
5.
Bachoc, François, et al.. (2020). Sequential construction and dimension reduction of Gaussian processes\n under constraints. arXiv (Cornell University). 5 indexed citations
6.
Roustant, Olivier, et al.. (2020). Group Kernels for Gaussian Process Metamodels with Categorical Inputs. SIAM/ASA Journal on Uncertainty Quantification. 8(2). 775–806. 4 indexed citations
7.
Roustant, Olivier, et al.. (2018). Group kernels for Gaussian process metamodels with categorical inputs. HAL (Le Centre pour la Communication Scientifique Directe). 22 indexed citations
8.
Roustant, Olivier, et al.. (2018). Support indices: Measuring the effect of input variables over their supports. Reliability Engineering & System Safety. 187. 17–27. 4 indexed citations
9.
Binois, Mickaël, David Ginsbourger, & Olivier Roustant. (2017). On the choice of the low-dimensional domain for global optimization via random embeddings. arXiv (Cornell University). 27 indexed citations
10.
Bachoc, François, et al.. (2017). Finite-dimensional Gaussian approximation with linear inequality constraints. arXiv (Cornell University). 48 indexed citations
11.
Roustant, Olivier, Franck Barthe, & Bertrand Iooss. (2017). Poincaré inequalities on intervals – application to sensitivity analysis. Electronic Journal of Statistics. 11(2). 18 indexed citations
12.
Salem, Malek Ben, et al.. (2017). Universal Prediction Distribution for Surrogate Models. SPIRE - Sciences Po Institutional REpository. 33 indexed citations
13.
Roustant, Olivier, et al.. (2015). Polar Gaussian Processes for Predicting on Circular Domains. 2 indexed citations
14.
Roustant, Olivier, et al.. (2014). Crossed-derivative based sensitivity measures for interaction screening. Mathematics and Computers in Simulation. 105. 105–118. 26 indexed citations
15.
Roustant, Olivier, David Ginsbourger, & Yves Deville. (2012). DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization. SHILAP Revista de lepidopterología. 38 indexed citations
16.
Durrande, Nicolas, David Ginsbourger, Olivier Roustant, & Laurent Carraro. (2012). ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis. Journal of Multivariate Analysis. 115. 57–67. 37 indexed citations
17.
Roustant, Olivier, David Ginsbourger, & Yves Deville. (2012). DiceKriging,DiceOptim: TwoRPackages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization. Journal of Statistical Software. 51(1). 367 indexed citations breakdown →
18.
Durrande, Nicolas, David Ginsbourger, & Olivier Roustant. (2010). Additive Kernels for High-dimensional Gaussian Process Modeling. 10. 2 indexed citations
19.
Roustant, Olivier, et al.. (2004). Model risk in the pricing of weather derivatives. HAL (Le Centre pour la Communication Scientifique Directe). 5–16. 10 indexed citations
20.
Roustant, Olivier. (2001). Une application de deux modèles économétriques de température à la gestion des risques climatiques. HAL (Le Centre pour la Communication Scientifique Directe). 5 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.

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