Jean‐Marc Bourinet

1.4k total citations
32 papers, 1.0k citations indexed

About

Jean‐Marc Bourinet is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Jean‐Marc Bourinet has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics, Probability and Uncertainty, 8 papers in Mechanics of Materials and 7 papers in Civil and Structural Engineering. Recurrent topics in Jean‐Marc Bourinet's work include Probabilistic and Robust Engineering Design (20 papers), Fatigue and fracture mechanics (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jean‐Marc Bourinet is often cited by papers focused on Probabilistic and Robust Engineering Design (20 papers), Fatigue and fracture mechanics (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Jean‐Marc Bourinet collaborates with scholars based in France, Germany and Switzerland. Jean‐Marc Bourinet's co-authors include Maurice Lemaire, François Deheeger, Nicolas Gayton, Maliki Moustapha, Bruno Sudret, Cécile Mattrand, Vincent Chabridon, Jérôme Morio, D. Le Houédec and Mathieu Balesdent and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Reliability Engineering & System Safety and Engineering Fracture Mechanics.

In The Last Decade

Jean‐Marc Bourinet

31 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Marc Bourinet France 13 842 431 390 204 202 32 1.0k
Yan Shi China 19 779 0.9× 390 0.9× 361 0.9× 173 0.8× 176 0.9× 78 1.2k
Wanying Yun China 21 1.1k 1.3× 483 1.1× 495 1.3× 224 1.1× 345 1.7× 50 1.2k
Z. Zhang China 15 838 1.0× 508 1.2× 337 0.9× 106 0.5× 174 0.9× 19 1.0k
C. Jiang China 20 1.0k 1.2× 625 1.5× 490 1.3× 161 0.8× 229 1.1× 29 1.2k
François Deheeger France 3 686 0.8× 291 0.7× 318 0.8× 190 0.9× 135 0.7× 3 772
Liu Du United States 13 1.1k 1.2× 360 0.8× 707 1.8× 270 1.3× 172 0.9× 23 1.2k
Shufang Song China 16 754 0.9× 361 0.8× 229 0.6× 97 0.5× 234 1.2× 42 945
Kaixuan Feng China 18 677 0.8× 300 0.7× 282 0.7× 130 0.6× 207 1.0× 83 938
Sinan Xiao China 17 624 0.7× 328 0.8× 177 0.5× 100 0.5× 210 1.0× 47 792
Beiqing Huang United States 7 626 0.7× 241 0.6× 303 0.8× 139 0.7× 149 0.7× 11 688

Countries citing papers authored by Jean‐Marc Bourinet

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Bourinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Bourinet. 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 Jean‐Marc Bourinet. The network helps show where Jean‐Marc Bourinet may publish in the future.

Co-authorship network of co-authors of Jean‐Marc Bourinet

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Bourinet. A scholar is included among the top collaborators of Jean‐Marc Bourinet 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 Jean‐Marc Bourinet. Jean‐Marc Bourinet 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.
Stefanou, George, et al.. (2024). CNN-based prediction of microstructure-derived random property fields of composite materials. Computer Methods in Applied Mechanics and Engineering. 430. 117207–117207. 12 indexed citations
2.
Girard, Sylvain, et al.. (2024). Mean Variance Estimation Neural Network Particle Filter for Predicting Battery Remaining Useful Life. Annual Conference of the PHM Society. 16(1). 1 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.
Mattrand, Cécile, et al.. (2024). Uncertainty quantification of the reference temperature T0 of 16MND5 steel from experimental and numerical fracture toughness tests. Engineering Fracture Mechanics. 315. 110755–110755.
5.
Girard, Sylvain, et al.. (2024). Prognostic of lithium-ion batteries using a combination of physical modeling and hybrid multi-layer perceptron particle filter. Energy Reports. 12. 5863–5874. 2 indexed citations
6.
Girard, Sylvain, et al.. (2023). Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries. Annual Conference of the PHM Society. 15(1). 2 indexed citations
7.
Mattrand, Cécile, et al.. (2023). Remaining Useful Life Prediction of Turbofans with Virtual Health Indicator: A Comparison of Particle Filter-Based Approaches. SPIRE - Sciences Po Institutional REpository. 469,. 75–82. 1 indexed citations
8.
Chabridon, Vincent, Mathieu Balesdent, Jean‐Marc Bourinet, Jérôme Morio, & Nicolas Gayton. (2018). Reliability-based sensitivity estimators of rare event probability in the presence of distribution parameter uncertainty. Reliability Engineering & System Safety. 178. 164–178. 26 indexed citations
9.
Steiner, Marion R., Jean‐Marc Bourinet, & Tom Lahmer. (2018). An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression. Reliability Engineering & System Safety. 183. 323–340. 28 indexed citations
10.
Bourinet, Jean‐Marc. (2015). RELIABILITY ASSESSMENT WITH ADAPTIVE SURROGATES BASED ON SUPPORT VECTOR MACHINE REGRESSION. 652–663. 2 indexed citations
11.
Moustapha, Maliki, et al.. (2015). Adaptive Kriging reliability-based design optimization of an automotive body structure under crashworthiness constraints. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations
12.
Moustapha, Maliki, et al.. (2014). Metamodeling for crashworthiness design: Comparative study of kriging and support vector regression. Repository for Publications and Research Data (ETH Zurich). 5 indexed citations
13.
Bourinet, Jean‐Marc, et al.. (2014). Safety assessment of a transmission line with EMC requirements. 1–4. 3 indexed citations
14.
Bourinet, Jean‐Marc & Carsten Proppe. (2013). Foreword. Procedia IUTAM. 6. 1–3. 1 indexed citations
15.
Beck, André T., et al.. (2013). DESIGN-POINT EXCITATION FOR CRACK PROPAGATION UNDER NARROW-BAND RANDOM LOADING. International Journal for Uncertainty Quantification. 3(6). 541–554. 1 indexed citations
16.
Mattrand, Cécile & Jean‐Marc Bourinet. (2013). The cross-entropy method for reliability assessment of cracked structures subjected to random Markovian loads. Reliability Engineering & System Safety. 123. 171–182. 13 indexed citations
17.
Gayton, Nicolas, et al.. (2011). APTA: advanced probability-based tolerance analysis of products. Mécanique & Industries. 12(2). 71–85. 7 indexed citations
18.
Mattrand, Cécile, et al.. (2011). Modeling and simulation of stochastic fatigue load sequences derived from in-flight load data. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2 indexed citations
19.
Bourinet, Jean‐Marc, et al.. (2009). A Review of Recent Features and Improvements Added to FERUM Software. SPIRE - Sciences Po Institutional REpository. 23 indexed citations
20.
Bourinet, Jean‐Marc & D. Le Houédec. (1999). A dynamic stiffness analysis of damped tubes filled with granular materials. Computers & Structures. 73(1-5). 395–406. 19 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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