Pénélope Leyland

167 total papers · 946 total citations
78 papers, 658 citations indexed

About

Pénélope Leyland is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Pénélope Leyland has authored 78 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 34 papers in Aerospace Engineering and 30 papers in Applied Mathematics. Recurrent topics in Pénélope Leyland's work include Gas Dynamics and Kinetic Theory (29 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Plasma and Flow Control in Aerodynamics (15 papers). Pénélope Leyland is often cited by papers focused on Gas Dynamics and Kinetic Theory (29 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Plasma and Flow Control in Aerodynamics (15 papers). Pénélope Leyland collaborates with scholars based in Switzerland, Australia and Germany. Pénélope Leyland's co-authors include F. J. Blom, Peter Ott, J.-L. Dorier, Fabio Nobile, Ch. Hollenstein, Richard G. Morgan, Stefano Mischler, Robert W. Field, M. Dulick and R F Barrow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbon and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Pénélope Leyland

74 papers receiving 634 citations

Author Peers

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

Author						Papers	Cites
Pénélope Leyland	259	256	140	133	117	78	658
D.P. Aeschliman	162 0.6×	279 1.1×	101 0.7×	120 0.9×	32 0.3×	41	706
Jerry Grey	180 0.7×	143 0.6×	77 0.6×	171 1.3×	70 0.6×	50	745
George A. Raiche	194 0.7×	166 0.6×	376 2.7×	114 0.9×	38 0.3×	42	712
Andrea Mentrelli	81 0.3×	193 0.8×	200 1.4×	161 1.2×	68 0.6×	55	618
Fabian Zander	301 1.2×	255 1.0×	454 3.2×	73 0.5×	28 0.2×	70	717
Markus Fertig	214 0.8×	159 0.6×	393 2.8×	164 1.2×	24 0.2×	69	594
Daniel A. Erwin	133 0.5×	273 1.1×	323 2.3×	90 0.7×	26 0.2×	46	573
А. И. Осипов	107 0.4×	152 0.6×	197 1.4×	377 2.8×	280 2.4×	58	783
A. T. Mattick	134 0.5×	75 0.3×	22 0.2×	129 1.0×	43 0.4×	41	589
Takeharu Sakai	367 1.4×	385 1.5×	509 3.6×	80 0.6×	14 0.1×	72	734

Countries citing papers authored by Pénélope Leyland

Since Specialization

Citations

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

Fields of papers citing papers by Pénélope Leyland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pénélope Leyland

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