Mathieu Pourquié

34 total papers · 443 total citations
20 papers, 290 citations indexed

About

Mathieu Pourquié is a scholar working on Computational Mechanics, Ocean Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Mathieu Pourquié has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 5 papers in Ocean Engineering and 5 papers in Fluid Flow and Transfer Processes. Recurrent topics in Mathieu Pourquié's work include Combustion and flame dynamics (7 papers), Advanced Combustion Engine Technologies (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Mathieu Pourquié is often cited by papers focused on Combustion and flame dynamics (7 papers), Advanced Combustion Engine Technologies (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Mathieu Pourquié collaborates with scholars based in Netherlands, China and Sweden. Mathieu Pourquié's co-authors include Richard Howard, Ziru Li, Tom van Terwisga, Bendiks Jan Boersma, Arvind Gangoli Rao, F. T. M. Nieuwstadt, Ziru Li, Tom J.C. van Terwisga, Geert Brethouwer and Wim-Paul Breugem and has published in prestigious journals such as American Journal of Neuroradiology, Journal of Biomechanical Engineering and Future Generation Computer Systems.

In The Last Decade

Mathieu Pourquié

19 papers receiving 275 citations

Author Peers

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

Author						Papers	Cites
Mathieu Pourquié	171	92	85	74	39	20	290
Giuseppe Carlo Alp Caridi	197 1.2×	129 1.4×	33 0.4×	76 1.0×	13 0.3×	18	329
Yanhu Guo	151 0.9×	70 0.8×	14 0.2×	27 0.4×	49 1.3×	10	234
Davide Marsano	139 0.8×	172 1.9×	31 0.4×	45 0.6×	143 3.7×	31	318
J. A. Brighton	188 1.1×	58 0.6×	16 0.2×	21 0.3×	107 2.7×	17	318
Christophe Sarraf	104 0.6×	149 1.6×	91 1.1×	17 0.2×	135 3.5×	23	306
Martin Bruschewski	209 1.2×	149 1.6×	20 0.2×	9 0.1×	119 3.1×	35	303
Ganiga Srinivasaiah Sridhar	202 1.2×	30 0.3×	41 0.5×	20 0.3×	24 0.6×	13	304
J. Banks	106 0.6×	145 1.6×	59 0.7×	33 0.4×	31 0.8×	36	330
Allan J. Acosta	155 0.9×	59 0.6×	118 1.4×	12 0.2×	112 2.9×	17	327
Mohammed Zubair	58 0.3×	14 0.2×	23 0.3×	13 0.2×	58 1.5×	20	286

Countries citing papers authored by Mathieu Pourquié

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Pourquié

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Pourquié

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