Céline Helbert

445 total citations
26 papers, 303 citations indexed

About

Céline Helbert is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Céline Helbert has authored 26 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 14 papers in Statistics, Probability and Uncertainty and 10 papers in Management Science and Operations Research. Recurrent topics in Céline Helbert's work include Advanced Multi-Objective Optimization Algorithms (16 papers), Probabilistic and Robust Engineering Design (14 papers) and Optimal Experimental Design Methods (10 papers). Céline Helbert is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (16 papers), Probabilistic and Robust Engineering Design (14 papers) and Optimal Experimental Design Methods (10 papers). Céline Helbert collaborates with scholars based in France and United States. Céline Helbert's co-authors include Michèle Pijolat, Loïc Favergeon, Christophette Blanchet‐Scalliet, Clémentine Prieur, Laurent Carraro, Frédéric Gillot, David Ginsbourger, Victor Picheny, François Bachoc and Amandine Marrel and has published in prestigious journals such as Technometrics, Physical Chemistry Chemical Physics and Journal of Materials Science.

In The Last Decade

Céline Helbert

25 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Helbert France 11 101 89 63 57 55 26 303
Kari Sentz United States 7 100 1.0× 274 3.1× 68 1.1× 34 0.6× 24 0.4× 15 417
Laurent Carraro France 9 50 0.5× 71 0.8× 23 0.4× 18 0.3× 32 0.6× 15 185
François Van Dorpe France 4 101 1.0× 202 2.3× 68 1.1× 15 0.3× 27 0.5× 6 314
Nicolas Devictor France 5 47 0.5× 209 2.3× 39 0.6× 87 1.5× 14 0.3× 9 410
Bledar A. Konomi United States 9 76 0.8× 100 1.1× 36 0.6× 10 0.2× 96 1.7× 19 269
Yves Deville France 3 199 2.0× 119 1.3× 121 1.9× 9 0.2× 130 2.4× 4 429
Alan Morris United Kingdom 9 97 1.0× 61 0.7× 36 0.6× 18 0.3× 13 0.2× 18 382
Alexey Zaytsev Russia 12 23 0.2× 21 0.2× 18 0.3× 39 0.7× 96 1.7× 47 343
Takashi Goda Japan 11 42 0.4× 76 0.9× 20 0.3× 9 0.2× 11 0.2× 61 341
Haohao Wang China 11 67 0.7× 41 0.5× 6 0.1× 37 0.6× 15 0.3× 57 385

Countries citing papers authored by Céline Helbert

Since Specialization
Citations

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

Fields of papers citing papers by Céline Helbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Helbert

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Helbert. A scholar is included among the top collaborators of Céline Helbert 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 Céline Helbert. Céline Helbert 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.
Helbert, Céline, et al.. (2024). Sensitivity analysis for sets: Application to pollutant concentration maps. Quality and Reliability Engineering International. 40(8). 4209–4227. 1 indexed citations
2.
Helbert, Céline, et al.. (2024). Quantization‐Based Latin Hypercube Sampling for Dependent Inputs With an Application to Sensitivity Analysis of Environmental Models. Applied Stochastic Models in Business and Industry. 41(3). 1 indexed citations
3.
Helbert, Céline, et al.. (2024). Kernel-based Sensitivity Analysis for (Excursion) Sets. Technometrics. 66(4). 575–587. 3 indexed citations
4.
Helbert, Céline, et al.. (2023). Une version SUR du critère de Bichon pour l'estimation d'un ensemble d'excursion. HAL (Le Centre pour la Communication Scientifique Directe). 11 indexed citations
5.
Blanchet‐Scalliet, Christophette, et al.. (2023). Gaussian Process Regression on Nested Spaces. SIAM/ASA Journal on Uncertainty Quantification. 11(2). 426–451. 1 indexed citations
6.
Riche, Rodolphe Le, et al.. (2023). A Sampling Criterion for Constrained Bayesian Optimization with Uncertainties. HAL (Le Centre pour la Communication Scientifique Directe). 9. 285–309. 2 indexed citations
7.
Helbert, Céline, et al.. (2023). Feasible set estimation under functional uncertainty by Gaussian Process modelling. Physica D Nonlinear Phenomena. 455. 133893–133893. 2 indexed citations
8.
Lauvernet, Claire & Céline Helbert. (2020). Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips. Reliability Engineering & System Safety. 204. 107083–107083. 3 indexed citations
9.
Helbert, Céline, et al.. (2019). Data-driven stochastic inversion via functional quantization. Statistics and Computing. 30(3). 525–541. 6 indexed citations
10.
Blanchet‐Scalliet, Christophette, et al.. (2019). Four algorithms to construct a sparse kriging kernel for dimensionality reduction. Computational Statistics. 34(4). 1889–1909. 4 indexed citations
11.
Helbert, Céline, et al.. (2016). Sampling, Metamodeling, and Sensitivity Analysis of Numerical Simulators with Functional Stochastic Inputs. SIAM/ASA Journal on Uncertainty Quantification. 4(1). 636–659. 10 indexed citations
12.
Helbert, Céline, et al.. (2016). Uncertainty quantification for functional dependent random variables. Computational Statistics. 32(2). 559–583. 11 indexed citations
13.
Grenier, Emmanuel, et al.. (2016). Population parametrization of costly black box models using iterations between SAEM algorithm and kriging. Computational and Applied Mathematics. 37(1). 161–173. 2 indexed citations
14.
Wahl, François, et al.. (2016). A standardized distance-based index to assess the quality of space-filling designs. Statistics and Computing. 27(2). 319–329. 1 indexed citations
15.
Helbert, Céline, et al.. (2015). DiceDesignandDiceEval: TwoRPackages for Design and Analysis of Computer Experiments. Journal of Statistical Software. 65(11). 78 indexed citations
16.
Helbert, Céline, et al.. (2009). Assessment of uncertainty in computer experiments from Universal to Bayesian Kriging. Applied Stochastic Models in Business and Industry. 25(2). 99–113. 16 indexed citations
17.
Wahl, François, et al.. (2009). Design of experiments for smoke depollution from the output of diesel engine. 1 indexed citations
18.
Favergeon, Loïc, Michèle Pijolat, & Céline Helbert. (2008). A mechanism of nucleation during thermal decomposition of solids. Journal of Materials Science. 43(14). 4675–4683. 22 indexed citations
19.
Ginsbourger, David, et al.. (2008). Discrete mixtures of kernels for Kriging‐based optimization. Quality and Reliability Engineering International. 24(6). 681–691. 20 indexed citations
20.
Favergeon, Loïc, et al.. (2005). Experimental study and Monte-Carlo simulation of the nucleation and growth processes during the dehydration of Li2SO4·H2O single crystals. Physical Chemistry Chemical Physics. 7(21). 3723–3723. 29 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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