Étienne Pruliére

46 total papers · 420 total citations
18 papers, 305 citations indexed

About

Étienne Pruliére is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Étienne Pruliére has authored 18 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanics of Materials, 8 papers in Statistics, Probability and Uncertainty and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Étienne Pruliére's work include Probabilistic and Robust Engineering Design (8 papers), Model Reduction and Neural Networks (5 papers) and Rheology and Fluid Dynamics Studies (5 papers). Étienne Pruliére is often cited by papers focused on Probabilistic and Robust Engineering Design (8 papers), Model Reduction and Neural Networks (5 papers) and Rheology and Fluid Dynamics Studies (5 papers). Étienne Pruliére collaborates with scholars based in France, Spain and Japan. Étienne Pruliére's co-authors include Amine Ammar, Francisco Chinesta, Francisco Chinesta, Yves Chemisky, Nadia El Kissi, Julien Férec, Frédéric Dau, Manuel Laso, Ivan Iordanoff and Elías Cueto and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Composite Structures.

In The Last Decade

Étienne Pruliére

18 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Étienne Pruliére	140	123	78	71	49	18	305
H. M. Park	36 0.3×	96 0.8×	130 1.7×	43 0.6×	28 0.6×	26	347
Manuel Girault	34 0.2×	126 1.0×	82 1.1×	84 1.2×	36 0.7×	35	337
Bahador Bahmani	160 1.1×	63 0.5×	37 0.5×	23 0.3×	52 1.1×	20	292
Miroslav Stoyanov	63 0.5×	33 0.3×	50 0.6×	31 0.4×	20 0.4×	26	254
A. Ferrer	143 1.0×	80 0.7×	74 0.9×	56 0.8×	152 3.1×	19	292
Albert Romkes	143 1.0×	19 0.2×	172 2.2×	19 0.3×	29 0.6×	32	333
Marcus Rüter	288 2.1×	31 0.3×	232 3.0×	32 0.5×	79 1.6×	21	361
Zhicheng Wang	26 0.2×	129 1.0×	75 1.0×	23 0.3×	29 0.6×	18	304
Lynn Rogers	95 0.7×	15 0.1×	18 0.2×	68 1.0×	167 3.4×	18	330
Alberto Badías	29 0.2×	166 1.3×	49 0.6×	39 0.5×	32 0.7×	18	302

Countries citing papers authored by Étienne Pruliére

Since Specialization

Citations

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

Fields of papers citing papers by Étienne Pruliére

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Étienne Pruliére

This figure shows the co-authorship network connecting the top 25 collaborators of Étienne Pruliére. A scholar is included among the top collaborators of Étienne Pruliére 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 Étienne Pruliére. Étienne Pruliére 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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