Pierre Beaurepaire

588 citations
27 papers · 481 indexed · h-index 10
Topics
Probabilistic and Robust Engineering Design (14 papers)Fatigue and fracture mechanics (8 papers)Manufacturing Process and Optimization (7 papers)
Partner nations
FranceArgentinaAustria

In The Last Decade

Pierre Beaurepaire

25 papers receiving 460 citations

Peers

Pierre Beaurepaire
Comparison fields: 5 of 45
  • Statistics, Probability and Uncertainty 320
  • Civil and Structural Engineering 168
  • Computational Theory and Mathematics 151
  • Mechanics of Materials 126
  • Safety, Risk, Reliability and Quality 81
Replace Chengning Zhou with:
Chengning Zhou China
Jinhui Wu China
Cécile Mattrand France
Changcong Zhou China
L. Gu United States
Hyunkyoo Cho South Korea
Wellison José de Santana Gomes Brazil
Shui Yu China
Guo‐Dong Lu China
Younès Aoues France
Pierre Beaurepaire relative to Chengning Zhou China Chengning Zhou's profile →
Citations per field
00.5×10×17×
Chengning Zhou · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 0
4 2
5 3
6 16
7 2
8 27
9 5
10 183
11 2
12 4
13 14
14 3
15 16
16 1
17 39
18 37
19 30
20 56

About Pierre Beaurepaire

Pierre Beaurepaire is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 27 papers that have together received 481 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Fatigue and fracture mechanics (8 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (320 citations), Computational Theory and Mathematics (151 citations) and Safety, Risk, Reliability and Quality (81 citations). Pierre Beaurepaire has collaborated with scholars based in France, Argentina and Austria. Frequent co-authors include Nicolas Gayton, Cécile Mattrand, G.I. Schuëller, Marcos A. Valdebenito, H.A. Jensen, Lazhar Homri, Jean‐Yves Dantan, Edoardo Patelli, Matteo Broggi and H.J. Pradlwarter. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Engineering Fracture Mechanics.

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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