Kevin Prieur

15 total papers · 537 total citations
13 papers, 436 citations indexed

About

Kevin Prieur is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Kevin Prieur has authored 13 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 11 papers in Fluid Flow and Transfer Processes and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Kevin Prieur's work include Combustion and flame dynamics (13 papers), Advanced Combustion Engine Technologies (11 papers) and Fluid Dynamics and Heat Transfer (5 papers). Kevin Prieur is often cited by papers focused on Combustion and flame dynamics (13 papers), Advanced Combustion Engine Technologies (11 papers) and Fluid Dynamics and Heat Transfer (5 papers). Kevin Prieur collaborates with scholars based in France, Canada and Italy. Kevin Prieur's co-authors include Sébastien Candel, Thierry Schuller, Daniel Durox, D. Durox, S. Candel, Guillaume Vignat, Ronan Vicquelin, Davide Laera, Sergio Mario Camporeale and James R. Dawson and has published in prestigious journals such as Combustion and Flame, Proceedings of the Combustion Institute and Journal of Engineering for Gas Turbines and Power.

In The Last Decade

Kevin Prieur

13 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Kevin Prieur	431	292	126	120	65	13	436
Arnaud Lacarelle	372 0.9×	219 0.8×	78 0.6×	127 1.1×	55 0.8×	24	384
H. Murat Altay	378 0.9×	256 0.9×	147 1.2×	105 0.9×	63 1.0×	16	409
Franck Richecœur	420 1.0×	263 0.9×	82 0.7×	245 2.0×	64 1.0×	29	470
A.L. Birbaud	436 1.0×	278 1.0×	176 1.4×	153 1.3×	94 1.4×	7	447
Edward G. Groff	304 0.7×	214 0.7×	66 0.5×	179 1.5×	25 0.4×	15	387
Robert Giezendanner-Thoben	386 0.9×	276 0.9×	106 0.8×	54 0.5×	48 0.7×	6	410
Ramgopal Sampath	321 0.7×	289 1.0×	32 0.3×	144 1.2×	39 0.6×	19	374
Clément Mirat	369 0.9×	267 0.9×	105 0.8×	105 0.9×	50 0.8×	24	378
Guido Troiani	417 1.0×	236 0.8×	118 0.9×	120 1.0×	54 0.8×	32	467
Dong-hyuk Shin	466 1.1×	289 1.0×	215 1.7×	113 0.9×	94 1.4×	35	492

Countries citing papers authored by Kevin Prieur

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Prieur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Prieur

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