Vincent Chabridon

48 total papers · 772 total citations
17 papers, 130 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 130 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), Risk and Safety Analysis (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Vincent Chabridon is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Risk and Safety Analysis (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Vincent Chabridon collaborates with scholars based in France, United Kingdom and United States. Vincent Chabridon's co-authors include Amandine Marrel, Bertrand Iooss, Jean‐Marc Bourinet, Nicolas Gayton, Jérôme Morio, Mathieu Balesdent, Émeline Sadoulet-Reboul, Scott Cogan, Emmanuel Vázquez and Didier Lucor 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 124 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Vincent Chabridon	91	36	29	24	21	17	130
Étienne de Rocquigny	162 1.8×	81 2.3×	38 1.3×	25 1.0×	23 1.1×	20	237
Tianzhe Wang	55 0.6×	23 0.6×	20 0.7×	14 0.6×	11 0.5×	13	116
James Bean	125 1.4×	31 0.9×	21 0.7×	17 0.7×	7 0.3×	16	185
Somayajulu L. N. Dhulipala	104 1.1×	122 3.4×	12 0.4×	13 0.5×	56 2.7×	33	252
A.W. Shiver	168 1.8×	31 0.9×	27 0.9×	4 0.2×	30 1.4×	13	200
M. Rehak	149 1.6×	130 3.6×	20 0.7×	30 1.3×	25 1.2×	23	226
Xudong Zhang	174 1.9×	39 1.1×	116 4.0×	17 0.7×	4 0.2×	17	241
Matthew Parno	35 0.4×	38 1.1×	36 1.2×	13 0.5×	4 0.2×	20	159
Thomas Fetz	116 1.3×	103 2.9×	39 1.3×	4 0.2×	8 0.4×	18	238
Daniel Elfverson	29 0.3×	60 1.7×	81 2.8×	118 4.9×	9 0.4×	14	243

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

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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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