Matthew Leyland

287 total papers · 1.0k total citations
37 papers, 271 citations indexed

About

Matthew Leyland is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Matthew Leyland has authored 37 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 9 papers in Biomedical Engineering and 9 papers in Materials Chemistry. Recurrent topics in Matthew Leyland's work include Magnetic confinement fusion research (13 papers), Superconducting Materials and Applications (9 papers) and Fusion materials and technologies (9 papers). Matthew Leyland is often cited by papers focused on Magnetic confinement fusion research (13 papers), Superconducting Materials and Applications (9 papers) and Fusion materials and technologies (9 papers). Matthew Leyland collaborates with scholars based in United Kingdom, Germany and Spain. Matthew Leyland's co-authors include E.J. Hughes, M. Beurskens, L. Frassinetti, S. Saarelma, I. Nunes, C. Giroud, P. Lomas, C. F. Maggi, J. Simpson and C. Challis and has published in prestigious journals such as Journal of Applied Crystallography, IEEE Transactions on Evolutionary Computation and Review of Scientific Instruments.

In The Last Decade

Matthew Leyland

21 papers receiving 239 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Leyland 214 131 95 86 66 37 271
S. Futatani 281 1.3× 127 1.0× 126 1.3× 47 0.5× 63 1.0× 32 315
J. Vandenbroucke 222 1.0× 42 0.3× 102 1.1× 73 0.8× 27 0.4× 34 328
Jayhyun Kim 299 1.4× 115 0.9× 118 1.2× 109 1.3× 105 1.6× 38 330
O. Ficker 161 0.8× 67 0.5× 57 0.6× 42 0.5× 53 0.8× 38 220
Ruihai Tong 280 1.3× 106 0.8× 118 1.2× 68 0.8× 80 1.2× 55 319
T. Luda 269 1.3× 138 1.1× 95 1.0× 81 0.9× 84 1.3× 21 297
O. Kudláček 250 1.2× 139 1.1× 60 0.6× 86 1.0× 91 1.4× 40 269
A. Järvinen 264 1.2× 207 1.6× 54 0.6× 81 0.9× 61 0.9× 32 288
D. Brunetti 253 1.2× 38 0.3× 180 1.9× 43 0.5× 42 0.6× 30 260
J.-W. Juhn 202 0.9× 87 0.7× 88 0.9× 51 0.6× 46 0.7× 33 224

Countries citing papers authored by Matthew Leyland

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Leyland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Leyland

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