Matthew Partridge

155 total papers · 629 total citations
38 papers, 457 citations indexed

About

Matthew Partridge is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Matthew Partridge has authored 38 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 10 papers in Atomic and Molecular Physics, and Optics and 6 papers in Biomedical Engineering. Recurrent topics in Matthew Partridge's work include Advanced Fiber Optic Sensors (21 papers), Photonic and Optical Devices (15 papers) and Photonic Crystal and Fiber Optics (9 papers). Matthew Partridge is often cited by papers focused on Advanced Fiber Optic Sensors (21 papers), Photonic and Optical Devices (15 papers) and Photonic Crystal and Fiber Optics (9 papers). Matthew Partridge collaborates with scholars based in United Kingdom, Czechia and Cuba. Matthew Partridge's co-authors include Stephen W. James, Ralph P. Tatam, Frank Davis, Sergiy Korposh, Jiří Hromádka, Derrick Crump, Séamus P.J. Higson, Ian Davidson, Natalie V. Wheeler and Ricardo Correia and has published in prestigious journals such as Optics Express, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Matthew Partridge

36 papers receiving 430 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 Partridge 307 117 84 72 36 38 457
Bongkyun Kim 383 1.2× 86 0.7× 14 0.2× 150 2.1× 13 0.4× 31 552
Chunfeng Ding 205 0.7× 193 1.6× 12 0.1× 62 0.9× 47 1.3× 35 549
Tian Lan 240 0.8× 93 0.8× 25 0.3× 70 1.0× 12 0.3× 40 465
Hamida Hallil 357 1.2× 373 3.2× 79 0.9× 60 0.8× 21 0.6× 44 533
Pierre Montméat 327 1.1× 275 2.4× 145 1.7× 30 0.4× 109 3.0× 49 525
Astrid Aksnes 233 0.8× 173 1.5× 61 0.7× 74 1.0× 28 0.8× 52 420
Jia Wei 300 1.0× 226 1.9× 50 0.6× 139 1.9× 4 0.1× 56 495
V. Guarnieri 389 1.3× 298 2.5× 138 1.6× 82 1.1× 43 1.2× 30 523
Rajesh Kanawade 121 0.4× 177 1.5× 43 0.5× 21 0.3× 25 0.7× 39 431
Christian Ulrich 170 0.6× 129 1.1× 71 0.8× 27 0.4× 5 0.1× 31 520

Countries citing papers authored by Matthew Partridge

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Partridge

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