Vincent Chabridon

786 total citations
17 papers, 134 citations indexed

About

Vincent Chabridon is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Vincent Chabridon has authored 17 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 5 papers in Civil and Structural Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Vincent Chabridon's work include Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Risk and Safety Analysis (4 papers). Vincent Chabridon is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Risk and Safety Analysis (4 papers). Vincent Chabridon collaborates with scholars based in France, United Kingdom and Netherlands. Vincent Chabridon's co-authors include Amandine Marrel, Bertrand Iooss, Nicolas Gayton, Jérôme Morio, Jean‐Marc Bourinet, Mathieu Balesdent, Scott Cogan, Émeline Sadoulet-Reboul, Nicolas Brunel and Julien Bect and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and Reliability Engineering & System Safety.

In The Last Decade

Vincent Chabridon

15 papers receiving 128 citations

Peers

Vincent Chabridon
Comparison fields: 5 of 49
  • Statistics, Probability and Uncertainty 93
  • Civil and Structural Engineering 37
  • Computational Theory and Mathematics 30
  • Mechanics of Materials 24
  • Aerospace Engineering 21
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Tianzhe Wang China
Somayajulu L. N. Dhulipala United States
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Daniel Elfverson Sweden
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A.W. Shiver United States
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Citations per field, relative to Vincent Chabridon
Vincent Chabridon · 1×
Citations per year, relative to Vincent Chabridon
Vincent Chabridon · 1×

Countries citing papers authored by Vincent Chabridon

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Chabridon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Chabridon

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 2
5 0
6 2
7 4
8
A review on variance-based importance measures in the linear regression context
1
9 9
10 1
11 7
12 28
13 1
14 26
15 1
16 26
17 23

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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2026