Victor Picheny

2.1k total citations
34 papers, 1.2k citations indexed

About

Victor Picheny is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Victor Picheny has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 14 papers in Management Science and Operations Research and 13 papers in Artificial Intelligence. Recurrent topics in Victor Picheny's work include Advanced Multi-Objective Optimization Algorithms (23 papers), Probabilistic and Robust Engineering Design (11 papers) and Optimal Experimental Design Methods (11 papers). Victor Picheny is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (23 papers), Probabilistic and Robust Engineering Design (11 papers) and Optimal Experimental Design Methods (11 papers). Victor Picheny collaborates with scholars based in France, United States and Switzerland. Victor Picheny's co-authors include David Ginsbourger, Raphael T. Haftka, Tobias Wagner, Julien Bect, Emmanuel Vázquez, Nam‐Ho Kim, Olivier Roustant, Ling Li, Nam Ho Kim and Inneke Van Nieuwenhuyse and has published in prestigious journals such as PLoS ONE, Technometrics and European Journal of Operational Research.

In The Last Decade

Victor Picheny

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Picheny France 16 754 607 471 297 121 34 1.2k
D. Huang United States 3 517 0.7× 257 0.4× 307 0.7× 216 0.7× 51 0.4× 3 734
Jan Griebsch Germany 6 410 0.5× 257 0.4× 206 0.4× 132 0.4× 140 1.2× 8 824
Barron Bichon United States 10 932 1.2× 1.2k 2.0× 388 0.8× 187 0.6× 705 5.8× 22 1.7k
Huachao Dong China 19 644 0.9× 154 0.3× 187 0.4× 493 1.7× 91 0.8× 81 1.1k
Mathieu Balesdent France 16 344 0.5× 442 0.7× 131 0.3× 106 0.4× 129 1.1× 46 824
Kyriakos C. Giannakoglou Greece 15 829 1.1× 204 0.3× 177 0.4× 432 1.5× 108 0.9× 34 1.3k
Steven F. Wojtkiewicz United States 11 286 0.4× 536 0.9× 176 0.4× 76 0.3× 310 2.6× 42 1.0k
David J. J. Toal United Kingdom 14 440 0.6× 352 0.6× 162 0.3× 86 0.3× 91 0.8× 33 742
Anoop Mullur United States 11 354 0.5× 248 0.4× 147 0.3× 73 0.2× 108 0.9× 26 646
Kai Cheng China 21 595 0.8× 1.3k 2.1× 265 0.6× 74 0.2× 681 5.6× 46 1.6k

Countries citing papers authored by Victor Picheny

Since Specialization
Citations

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

Fields of papers citing papers by Victor Picheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Picheny

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Picheny. A scholar is included among the top collaborators of Victor Picheny 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 Victor Picheny. Victor Picheny 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.
Riche, Rodolphe Le, et al.. (2023). Modeling and Optimization with Gaussian Processes in Reduced Eigenbases. HAL (Le Centre pour la Communication Scientifique Directe). 11 indexed citations
2.
Moore, Joslin L., Abbey E. Camaclang, Alana L. Moore, et al.. (2021). A framework for allocating conservation resources among multiple threats and actions. Conservation Biology. 35(5). 1639–1649. 14 indexed citations
3.
Riche, Rodolphe Le & Victor Picheny. (2021). Revisiting Bayesian optimization in the light of the COCO benchmark. Structural and Multidisciplinary Optimization. 64(5). 3063–3087. 21 indexed citations
4.
Binois, Mickaël, Victor Picheny, Patrick Taillandier, & Abderrahmane Habbal. (2020). The Kalai-Smorodinsky solution for many-objective Bayesian optimization. Journal of Machine Learning Research. 21(150). 1–42. 3 indexed citations
5.
Picheny, Victor, et al.. (2020). A review on quantile regression for stochastic computer experiments. Reliability Engineering & System Safety. 201. 106858–106858. 20 indexed citations
6.
Constantin, Julie, et al.. (2019). A method to assess the impact of soil available water capacity uncertainty on crop models with a tipping‐bucket approach. European Journal of Soil Science. 71(3). 369–381. 4 indexed citations
7.
Riche, Rodolphe Le, et al.. (2019). Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions. Annals of Mathematics and Artificial Intelligence. 88(1-3). 187–212. 18 indexed citations
8.
Picheny, Victor, et al.. (2017). Correction to: Inferring large graphs using $$\ell _{1}$$ ℓ 1 -penalized likelihood. Statistics and Computing. 28(6). 1231–1231. 1 indexed citations
9.
Picheny, Victor, et al.. (2017). Inferring large graphs using $$\ell _1$$ ℓ 1 -penalized likelihood. Statistics and Computing. 28(4). 905–921. 1 indexed citations
10.
Picheny, Victor, et al.. (2017). Optimization of black-box models with uncertain climatic inputs—Application to sunflower ideotype design. PLoS ONE. 12(5). e0176815–e0176815. 6 indexed citations
11.
Jalali, Hamed, Inneke Van Nieuwenhuyse, & Victor Picheny. (2017). Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise. European Journal of Operational Research. 261(1). 279–301. 67 indexed citations
12.
Casadebaig, Pierre, et al.. (2015). Using Plant Phenotypic Plasticity to Improve Crop Performance and Stability Regarding Climatic Uncertainty: A Computational Study on Sunflower. Procedia Environmental Sciences. 29. 142–143. 3 indexed citations
13.
Picheny, Victor & David Ginsbourger. (2013). A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations. SIAM/ASA Journal on Uncertainty Quantification. 1(1). 57–78. 19 indexed citations
14.
Chevalier, Clément, et al.. (2013). Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set. Technometrics. 56(4). 455–465. 75 indexed citations
15.
Chevalier, Clément, Victor Picheny, & David Ginsbourger. (2013). KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. Computational Statistics & Data Analysis. 71. 1021–1034. 28 indexed citations
16.
Picheny, Victor & David Ginsbourger. (2013). Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package. Computational Statistics & Data Analysis. 71. 1035–1053. 30 indexed citations
17.
Baccou, Jean, et al.. (2013). Construction and Efficient Implementation of Adaptive Objective-Based Designs of Experiments. Mathematical Geosciences. 46(3). 285–313. 2 indexed citations
18.
Picheny, Victor, et al.. (2012). Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision. Technometrics. 55(1). 2–13. 3 indexed citations
19.
Viana, Felipe, Victor Picheny, & Raphael T. Haftka. (2009). Conservative Prediction via Safety Margin: Design Through Cross-Validation and Benefits of Multiple Surrogates. 741–750. 11 indexed citations
20.
Picheny, Victor, Namho Kim, Raphael T. Haftka, & Jörg Peters. (2006). Conservative Estimation of Probability of Failure. HAL (Le Centre pour la Communication Scientifique Directe). 9 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 D. Huang Breakdown of academic impact, for papers by Jan Griebsch Breakdown of academic impact, for papers by Barron Bichon Breakdown of academic impact, for papers by Huachao Dong Breakdown of academic impact, for papers by Mathieu Balesdent Breakdown of academic impact, for papers by Kyriakos C. Giannakoglou Breakdown of academic impact, for papers by Steven F. Wojtkiewicz Breakdown of academic impact, for papers by David J. J. Toal Breakdown of academic impact, for papers by Anoop Mullur Breakdown of academic impact, for papers by Kai Cheng
Rankless by CCL
2026