Thomas M. Leonard

295 total papers · 1.1k total citations
71 papers, 601 citations indexed

About

Thomas M. Leonard is a scholar working on Aerospace Engineering, Computational Mechanics and Sociology and Political Science. According to data from OpenAlex, Thomas M. Leonard has authored 71 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 12 papers in Computational Mechanics and 11 papers in Sociology and Political Science. Recurrent topics in Thomas M. Leonard's work include Turbomachinery Performance and Optimization (12 papers), Advanced Memory and Neural Computing (8 papers) and Combustion and flame dynamics (8 papers). Thomas M. Leonard is often cited by papers focused on Turbomachinery Performance and Optimization (12 papers), Advanced Memory and Neural Computing (8 papers) and Combustion and flame dynamics (8 papers). Thomas M. Leonard collaborates with scholars based in United States, United Kingdom and France. Thomas M. Leonard's co-authors include Laurent Gicquel, Stéphane Moreau, Florent Duchaine, Victor Granet, Olivier Vermorel, Thierry Poinsot, Marlène Sanjosé, Stephen Spence, William M. LeoGrande and Jean Anne C. Incorvia and has published in prestigious journals such as ACS Nano, Applied Physics Letters and American Journal of Obstetrics and Gynecology.

In The Last Decade

Thomas M. Leonard

58 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
Thomas M. Leonard	238	212	97	65	62	71	601
Zhimin Chen	112 0.5×	44 0.2×	154 1.6×	74 1.1×	53 0.9×	67	628
Xiaoke Zhang	79 0.3×	62 0.3×	116 1.2×	20 0.3×	19 0.3×	39	663
Smith	66 0.3×	43 0.2×	109 1.1×	27 0.4×	36 0.6×	74	591
Kevin Cunningham	426 1.8×	180 0.8×	18 0.2×	32 0.5×	27 0.4×	49	677
Michael Michael	37 0.2×	104 0.5×	62 0.6×	63 1.0×	40 0.6×	82	610
Weixing Chen	114 0.5×	53 0.3×	53 0.5×	23 0.4×	92 1.5×	77	594
J. F. Louis	186 0.8×	128 0.6×	50 0.5×	40 0.6×	116 1.9×	62	499
Jonathan White	146 0.6×	54 0.3×	97 1.0×	150 2.3×	67 1.1×	50	613
David G. Lawrence	264 1.1×	13 0.1×	50 0.5×	101 1.6×	79 1.3×	50	541
Ibragim Suleimenov	32 0.1×	17 0.1×	97 1.0×	35 0.5×	27 0.4×	117	642

Countries citing papers authored by Thomas M. Leonard

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Leonard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Leonard. 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 Thomas M. Leonard. The network helps show where Thomas M. Leonard may publish in the future.

Co-authorship network of co-authors of Thomas M. Leonard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Leonard. A scholar is included among the top collaborators of Thomas M. Leonard 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 Thomas M. Leonard. Thomas M. Leonard 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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