Matthew McGilvray

208 total papers · 1.4k total citations
144 papers, 1.0k citations indexed

About

Matthew McGilvray is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Matthew McGilvray has authored 144 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computational Mechanics, 79 papers in Aerospace Engineering and 74 papers in Applied Mathematics. Recurrent topics in Matthew McGilvray's work include Gas Dynamics and Kinetic Theory (74 papers), Computational Fluid Dynamics and Aerodynamics (48 papers) and Fluid Dynamics and Turbulent Flows (40 papers). Matthew McGilvray is often cited by papers focused on Gas Dynamics and Kinetic Theory (74 papers), Computational Fluid Dynamics and Aerodynamics (48 papers) and Fluid Dynamics and Turbulent Flows (40 papers). Matthew McGilvray collaborates with scholars based in United Kingdom, Australia and Germany. Matthew McGilvray's co-authors include Tobias Hermann, Richard G. Morgan, David R. H. Gillespie, Peter A. Jacobs, Luke J. Doherty, Luca di Mare, David Gillespie, David Gildfind, Luc Vandeperre and Rowan Gollan and has published in prestigious journals such as Journal of Fluid Mechanics, International Journal of Heat and Mass Transfer and AIAA Journal.

In The Last Decade

Matthew McGilvray

133 papers receiving 969 citations

Author Peers

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

Author						Papers	Cites
Matthew McGilvray	602	538	485	190	136	144	1.0k
John J. Bertin	807 1.3×	704 1.3×	645 1.3×	55 0.3×	82 0.6×	83	1.2k
Rakesh Kumar	503 0.8×	407 0.8×	337 0.7×	114 0.6×	201 1.5×	140	1.1k
Daniel J. Rasky	223 0.4×	447 0.8×	473 1.0×	124 0.7×	30 0.2×	47	901
R. I. Soloukhin	371 0.6×	501 0.9×	108 0.2×	142 0.7×	45 0.3×	95	1.1k
George W. Sutton	525 0.9×	323 0.6×	133 0.3×	104 0.5×	62 0.5×	94	1.1k
Darren L. Hitt	306 0.5×	429 0.8×	239 0.5×	162 0.9×	57 0.4×	93	850
Tahir Gökçen	405 0.7×	462 0.9×	721 1.5×	20 0.1×	68 0.5×	75	900
Stefan Löhle	199 0.3×	283 0.5×	430 0.9×	127 0.7×	32 0.2×	107	983
Hideyuki Tanno	735 1.2×	546 1.0×	558 1.2×	48 0.3×	194 1.4×	111	1.0k
Gisu Park	329 0.5×	339 0.6×	374 0.8×	28 0.1×	108 0.8×	85	893

Countries citing papers authored by Matthew McGilvray

Since Specialization

Citations

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

Fields of papers citing papers by Matthew McGilvray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McGilvray

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