Jérôme Morio

1.8k total citations
72 papers, 1.2k citations indexed

About

Jérôme Morio is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Aerospace Engineering. According to data from OpenAlex, Jérôme Morio has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics, Probability and Uncertainty, 27 papers in Statistics and Probability and 19 papers in Aerospace Engineering. Recurrent topics in Jérôme Morio's work include Probabilistic and Robust Engineering Design (35 papers), Statistical Distribution Estimation and Applications (23 papers) and Reliability and Maintenance Optimization (12 papers). Jérôme Morio is often cited by papers focused on Probabilistic and Robust Engineering Design (35 papers), Statistical Distribution Estimation and Applications (23 papers) and Reliability and Maintenance Optimization (12 papers). Jérôme Morio collaborates with scholars based in France, Switzerland and United States. Jérôme Morio's co-authors include Mathieu Balesdent, François Goudail, Julien Marzat, Philippe Réfrégier, Xavier Olivé, Luca Santinelli, Christian Gogu, Kamal Medjaher, Daniel Vanderpooten and Khanh T.P. Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Applied Energy.

In The Last Decade

Jérôme Morio

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Morio France 20 484 276 173 172 148 72 1.2k
Steven F. Wojtkiewicz United States 11 536 1.1× 99 0.4× 310 1.8× 286 1.7× 75 0.5× 42 1.0k
Yan Shi China 19 779 1.6× 93 0.3× 390 2.3× 361 2.1× 151 1.0× 78 1.2k
Nicola Pedroni Italy 23 748 1.5× 369 1.3× 577 3.3× 105 0.6× 234 1.6× 66 1.5k
David Gorsich United States 23 881 1.8× 138 0.5× 724 4.2× 581 3.4× 133 0.9× 173 2.2k
Mathieu Balesdent France 16 442 0.9× 173 0.6× 129 0.7× 344 2.0× 95 0.6× 46 824
Baowei Song China 28 164 0.3× 574 2.1× 143 0.8× 545 3.2× 66 0.4× 136 2.6k
Francesco Cadini Italy 22 577 1.2× 139 0.5× 656 3.8× 161 0.9× 389 2.6× 99 2.0k
Souvik Chakraborty India 26 926 1.9× 165 0.6× 721 4.2× 429 2.5× 106 0.7× 93 1.9k
Debiao Meng China 27 989 2.0× 139 0.5× 585 3.4× 501 2.9× 284 1.9× 70 2.0k
Jacob Søndergaard Denmark 13 701 1.4× 581 2.1× 250 1.4× 930 5.4× 60 0.4× 15 2.4k

Countries citing papers authored by Jérôme Morio

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Morio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Morio

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Morio. A scholar is included among the top collaborators of Jérôme Morio 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 Jérôme Morio. Jérôme Morio 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.
Lê, Hung, Khanh T.P. Nguyen, Christian Gogu, et al.. (2025). A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data. Applied Energy. 384. 125314–125314. 7 indexed citations
2.
Nguyen, Khanh T.P., et al.. (2024). Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration. Engineering Applications of Artificial Intelligence. 138. 109268–109268. 4 indexed citations
3.
Dubreuil, Sylvain, et al.. (2024). A sensitivity analysis based trade-off between probabilistic model identification and statistical estimation. Reliability Engineering & System Safety. 254. 110545–110545. 4 indexed citations
4.
Nguyen, Khanh T.P., et al.. (2024). A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. SPIRE - Sciences Po Institutional REpository. 248–253.
5.
Dubreuil, Sylvain, et al.. (2023). Towards the Multifidelity Optimization of H2-Air Injector for Aircraft Propulsion. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
6.
Bachoc, François, et al.. (2023). Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates. Statistics and Computing. 33(5). 1 indexed citations
7.
Morio, Jérôme, et al.. (2023). A Review on Local Failure Probability Sensitivity Analysis. Applied Sciences. 13(21). 12021–12021.
8.
Morio, Jérôme, et al.. (2022). Deep generative modelling of aircraft trajectories in terminal maneuvering areas. SHILAP Revista de lepidopterología. 11. 100446–100446. 11 indexed citations
9.
Morio, Jérôme, et al.. (2021). Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis. Applied Sciences. 11(9). 3871–3871. 8 indexed citations
10.
Morio, Jérôme, et al.. (2021). Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation. Reliability Engineering & System Safety. 216. 107991–107991. 23 indexed citations
11.
Morio, Jérôme, et al.. (2020). Estimation of high-order moment-independent importance measures for Shapley value analysis. Applied Mathematical Modelling. 88. 396–417. 6 indexed citations
12.
Morio, Jérôme, et al.. (2020). Simultaneous estimation of complementary moment independent and reliability-oriented sensitivity measures. Mathematics and Computers in Simulation. 182. 721–737. 7 indexed citations
13.
Morio, Jérôme, et al.. (2018). A nonparametric importance sampling estimator for moment independent importance measures. Reliability Engineering & System Safety. 187. 3–16. 11 indexed citations
14.
Morio, Jérôme, et al.. (2016). Adaptive interacting particle system algorithm for aircraft conflict probability estimation. Aerospace Science and Technology. 55. 431–438. 10 indexed citations
15.
Morio, Jérôme, et al.. (2013). Optimisation of interacting particle systems for rare event estimation. Computational Statistics & Data Analysis. 66. 117–128. 2 indexed citations
16.
Balesdent, Mathieu, Jérôme Morio, & Julien Marzat. (2013). Kriging-based adaptive Importance Sampling algorithms for rare event estimation. Structural Safety. 44. 1–10. 119 indexed citations
17.
Morio, Jérôme. (2010). Importance sampling: how to approach the optimal density?. European Journal of Physics. 31(2). L41–L48. 12 indexed citations
18.
Morio, Jérôme, et al.. (2010). An overview of importance splitting for rare event simulation. European Journal of Physics. 31(5). 1295–1303. 18 indexed citations
19.
Réfrégier, Philippe & Jérôme Morio. (2006). Shannon entropy of partially polarized and partially coherent light with Gaussian fluctuations. Journal of the Optical Society of America A. 23(12). 3036–3036. 66 indexed citations
20.
Morio, Jérôme & François Goudail. (2004). Influence of the order of diattenuator, retarder, and polarizer in polar decomposition of Mueller matrices. Optics Letters. 29(19). 2234–2234. 77 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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