Loïc Le Gratiet

1.4k total citations
13 papers, 649 citations indexed

About

Loïc Le Gratiet is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Loïc Le Gratiet has authored 13 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 9 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Loïc Le Gratiet's work include Probabilistic and Robust Engineering Design (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Gaussian Processes and Bayesian Inference (3 papers). Loïc Le Gratiet is often cited by papers focused on Probabilistic and Robust Engineering Design (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Gaussian Processes and Bayesian Inference (3 papers). Loïc Le Gratiet collaborates with scholars based in France and Argentina. Loïc Le Gratiet's co-authors include Josselin Garnier, Bertrand Iooss, Marijana Milićević, O. Bleu, J. Bloch, Philippe St-Jean, D. D. Solnyshkov, G. Malpuech, A. Lemaı̂tre and Abdelmounaïm Harouri and has published in prestigious journals such as Technometrics, Nature Photonics and Machine Learning.

In The Last Decade

Loïc Le Gratiet

13 papers receiving 627 citations

Peers

Countries citing papers authored by Loïc Le Gratiet

Since Specialization

Citations

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

Fields of papers citing papers by Loïc Le Gratiet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Le Gratiet

This figure shows the co-authorship network connecting the top 25 collaborators of Loïc Le Gratiet. A scholar is included among the top collaborators of Loïc Le Gratiet 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 Le Gratiet. Loïc Le Gratiet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work	Indexed citations
1	Improving the Predictivity of a Steam Generator Clogging Numerical Model by Global Sensitivity Analysis and Bayesian Calibration Techniques 2023 ·Nuclear Science and Engineering ·L.‐P. Lefebvre, Marie-Laure Segond, (unknown), Loïc Le Gratiet, (unknown), Bertrand Iooss, (unknown)	2
2	Model selection based on validation criteria for Gaussian process regression: An application with highlights on the predictive variance 2021 ·Quality and Reliability Engineering International ·(unknown), Bertrand Iooss, Loïc Le Gratiet, Amandine Marrel	10
3	Optically controlling the emission chirality of microlasers 2019 ·Nature Photonics ·N. Carlon Zambon, Philippe St-Jean, Marijana Milićević, A. Lemaı̂tre, Abdelmounaïm Harouri, Loïc Le Gratiet, O. Bleu, D. D. Solnyshkov, G. Malpuech, I. Sagnes, Sylvain Ravets, A. Amo, J. Bloch	123
4	Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes 2017 ·Reliability Engineering & System Safety ·Bertrand Iooss, Loïc Le Gratiet	21
5	Model Assisted Probability of Detection Curves: New Statistical Tools and Progressive Methodology 2016 ·Journal of Nondestructive Evaluation ·Loïc Le Gratiet, Bertrand Iooss, Géraud Blatman, Thomas Browne, (unknown), (unknown)	27
6	Stochastic simulators based optimization by Gaussian process metamodels\n - Application to maintenance investments planning issues 2015 ·arXiv (Cornell University) ·Thomas Browne, Bertrand Iooss, Loïc Le Gratiet, (unknown)	10
7	Building probability of detection curves via metamodels 2015 ·Open Collections ·Thomas Browne, Loïc Le Gratiet, Géraud Blatman, (unknown), (unknown), Bertrand Iooss, (unknown)	3
8	Cokriging-Based Sequential Design Strategies Using Fast Cross-Validation Techniques for Multi-Fidelity Computer Codes 2015 ·Technometrics ·Loïc Le Gratiet, (unknown)	78
9	RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY 2014 ·International Journal for Uncertainty Quantification ·Loïc Le Gratiet, Josselin Garnier	228
10	Asymptotic analysis of the learning curve for Gaussian process regression 2014 ·Machine Learning ·Loïc Le Gratiet, Josselin Garnier	18
11	ANOVA decomposition of conditional Gaussian processes for sensitivity analysis with dependent inputs 2014 ·Journal of Statistical Computation and Simulation ·(unknown), Loïc Le Gratiet	2
12	A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes 2014 ·SIAM/ASA Journal on Uncertainty Quantification ·Loïc Le Gratiet, (unknown), Bertrand Iooss	64
13	Bayesian Analysis of Hierarchical Multifidelity Codes 2013 ·SIAM/ASA Journal on Uncertainty Quantification ·Loïc Le Gratiet	63

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