Pierre Beaurepaire

588 total citations
27 papers, 481 citations indexed

About

Pierre Beaurepaire is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Pierre Beaurepaire has authored 27 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics, Probability and Uncertainty, 9 papers in Mechanics of Materials and 7 papers in Civil and Structural Engineering. Recurrent topics in Pierre Beaurepaire's work include Probabilistic and Robust Engineering Design (14 papers), Fatigue and fracture mechanics (8 papers) and Manufacturing Process and Optimization (7 papers). Pierre Beaurepaire is often cited by papers focused on Probabilistic and Robust Engineering Design (14 papers), Fatigue and fracture mechanics (8 papers) and Manufacturing Process and Optimization (7 papers). Pierre Beaurepaire collaborates with scholars based in France, Argentina and Austria. Pierre Beaurepaire's co-authors include Nicolas Gayton, Cécile Mattrand, G.I. Schuëller, H.A. Jensen, Marcos A. Valdebenito, Lazhar Homri, Jean‐Yves Dantan, Matteo Broggi, Edoardo Patelli and H.J. Pradlwarter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Engineering Fracture Mechanics.

In The Last Decade

Pierre Beaurepaire

25 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Beaurepaire France 10 320 168 151 126 81 27 481
Jinhui Wu China 9 260 0.8× 111 0.7× 126 0.8× 83 0.7× 32 0.4× 18 388
Cécile Mattrand France 10 263 0.8× 175 1.0× 136 0.9× 104 0.8× 43 0.5× 23 426
Chengning Zhou China 9 384 1.2× 198 1.2× 222 1.5× 110 0.9× 73 0.9× 21 559
Shui Yu China 14 424 1.3× 180 1.1× 169 1.1× 128 1.0× 112 1.4× 23 536
Hyunkyoo Cho South Korea 15 398 1.2× 193 1.1× 272 1.8× 117 0.9× 42 0.5× 43 566
L. Gu United States 9 522 1.6× 224 1.3× 406 2.7× 75 0.6× 83 1.0× 12 658
Kwon Hee Lee South Korea 3 250 0.8× 105 0.6× 195 1.3× 45 0.4× 26 0.3× 6 437
Younès Aoues France 13 476 1.5× 335 2.0× 282 1.9× 101 0.8× 69 0.9× 29 680
Meide Yang China 11 472 1.5× 209 1.2× 272 1.8× 91 0.7× 69 0.9× 17 550
Wellison José de Santana Gomes Brazil 12 377 1.2× 328 2.0× 142 0.9× 81 0.6× 55 0.7× 30 580

Countries citing papers authored by Pierre Beaurepaire

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Beaurepaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Beaurepaire

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Beaurepaire. A scholar is included among the top collaborators of Pierre Beaurepaire 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 Pierre Beaurepaire. Pierre Beaurepaire 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.
Beaurepaire, Pierre, Guillaume Dollé, Benoît Magnin, et al.. (2025). The R-Vessel-X Project. IRBM. 46(1). 100876–100876. 1 indexed citations
2.
3.
Beaurepaire, Pierre, et al.. (2022). Review on Python Toolboxes for Kriging Surrogate Modelling. 854–861. 1 indexed citations
4.
Beaurepaire, Pierre, et al.. (2021). Reliability Analysis of the Ductile Fracture of Overpacks for High-Level Radioactive Waste in Repository Conditions. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 7(2). 1 indexed citations
5.
Homri, Lazhar, et al.. (2020). Framework for tolerance analysis of over-constrained mechanisms with form defects. Procedia CIRP. 92. 3–8. 2 indexed citations
6.
Beaurepaire, Pierre, et al.. (2019). Key Characteristics identification by global sensitivity analysis. International Journal on Interactive Design and Manufacturing (IJIDeM). 14(2). 423–434. 3 indexed citations
7.
Beaurepaire, Pierre, et al.. (2019). Probabilistic-based approach using Kernel Density Estimation for gap modeling in a statistical tolerance analysis. Mechanism and Machine Theory. 139. 294–309. 16 indexed citations
8.
Mattrand, Cécile, et al.. (2019). AK‐DA: An efficient method for the fatigue assessment of wind turbine structures. Wind Energy. 22(5). 638–652. 27 indexed citations
9.
Beaurepaire, Pierre, et al.. (2018). AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models. Structural Safety. 73. 1–11. 183 indexed citations
10.
Beaurepaire, Pierre, Cécile Mattrand, Nicolas Gayton, & Jean‐Yves Dantan. (2018). Tolerance Analysis of a Deformable Component Using the Probabilistic Approach and Kriging-Based Surrogate Models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 4(3). 2 indexed citations
11.
Homri, Lazhar, et al.. (2018). Statistical Tolerance Analysis Technique for Over-constrained Mechanical Systems. Procedia CIRP. 75. 232–237. 4 indexed citations
12.
Beaurepaire, Pierre, et al.. (2018). Tolerance Analysis - Key Characteristics Identification by Sensitivity Methods. Procedia CIRP. 75. 33–38. 3 indexed citations
13.
Homri, Lazhar, et al.. (2018). Statistical Tolerance Analysis of Over-Constrained Mechanical Assemblies With Form Defects Considering Contact Types. Journal of Computing and Information Science in Engineering. 19(2). 14 indexed citations
14.
Mattrand, Cécile, et al.. (2018). Cost effective strategy using Kriging surrogates to compute fatigue at multiple locations of a structure: Application to offshore wind turbine certification. SHILAP Revista de lepidopterología. 165. 17001–17001. 2 indexed citations
15.
Homri, Lazhar, et al.. (2017). Geometrical Variation Simulation for Assembly With Form Defects. 3 indexed citations
16.
Leonel, Edson Denner, et al.. (2016). Quantification of cohesive fracture parameters based on the coupling of Bayesian updating and the boundary element method. Engineering Analysis with Boundary Elements. 74. 49–60. 16 indexed citations
17.
Beaurepaire, Pierre, H.A. Jensen, G.I. Schuëller, & Marcos A. Valdebenito. (2013). Reliability-based optimization using bridge importance sampling. Probabilistic Engineering Mechanics. 34. 48–57. 39 indexed citations
18.
Beaurepaire, Pierre, Marcos A. Valdebenito, G.I. Schuëller, & H.A. Jensen. (2012). Reliability-based optimization of maintenance scheduling of mechanical components under fatigue. Computer Methods in Applied Mechanics and Engineering. 221-222(C). 24–40. 37 indexed citations
19.
Patelli, Edoardo, Matteo Broggi, B. Goller, et al.. (2011). General purpose software for efficient uncertainty management of large finite element models. Finite Elements in Analysis and Design. 51(1). 31–48. 56 indexed citations
20.
Beaurepaire, Pierre & G.I. Schuëller. (2011). Modeling of the variability of fatigue crack growth using cohesive zone elements. Engineering Fracture Mechanics. 78(12). 2399–2413. 30 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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