Jean Prieur

51 total papers · 587 total citations
31 papers, 483 citations indexed

About

Jean Prieur is a scholar working on Aerospace Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Jean Prieur has authored 31 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 16 papers in Computational Mechanics and 11 papers in Biomedical Engineering. Recurrent topics in Jean Prieur's work include Aerodynamics and Acoustics in Jet Flows (23 papers), Acoustic Wave Phenomena Research (11 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Jean Prieur is often cited by papers focused on Aerodynamics and Acoustics in Jet Flows (23 papers), Acoustic Wave Phenomena Research (11 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Jean Prieur collaborates with scholars based in France, Germany and United States. Jean Prieur's co-authors include Gilles Rahier, François Vuillot, Nicolas Lupoglazoff, Maxime Huet, D. R. Snelling, Ömer L. Gülder, Gregory J. Smallwood, Thomas F. Brooks, W. R. Splettstoesser and Yung H. Yu and has published in prestigious journals such as AIAA Journal, Journal of Sound and Vibration and Progress in Aerospace Sciences.

In The Last Decade

Jean Prieur

27 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Jean Prieur	417	298	223	91	47	31	483
Maxime Huet	289 0.7×	299 1.0×	145 0.7×	89 1.0×	14 0.3×	45	434
M. F. Heidmann	395 0.9×	320 1.1×	136 0.6×	22 0.2×	93 2.0×	41	541
Kyle A. Pascioni	426 1.0×	241 0.8×	153 0.7×	79 0.9×	86 1.8×	34	490
Susann Boij	369 0.9×	275 0.9×	249 1.1×	173 1.9×	47 1.0×	54	478
Hongbin Ju	396 0.9×	270 0.9×	258 1.2×	119 1.3×	17 0.4×	24	463
E. Pfizenmaier	429 1.0×	391 1.3×	129 0.6×	131 1.4×	18 0.4×	19	483
Ray Taghavi	325 0.8×	365 1.2×	50 0.2×	37 0.4×	13 0.3×	51	442
Shojiro Kaji	378 0.9×	318 1.1×	107 0.5×	47 0.5×	28 0.6×	35	434
M.R. Swain	295 0.7×	116 0.4×	71 0.3×	87 1.0×	118 2.5×	28	481
Joan Boulanger	95 0.2×	220 0.7×	210 0.9×	21 0.2×	16 0.3×	28	421

Countries citing papers authored by Jean Prieur

Since Specialization

Citations

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

Fields of papers citing papers by Jean Prieur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Prieur

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