Matthew Guy

799 citations
52 papers · 635 · h-index 14

Impact in

Papers in

Matthew Guy

48 papers receiving 619 citations

Peers

Matthew Guy
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 346
  • Radiation 88
  • Health Informatics 17
  • Endocrinology, Diabetes and Metabolism 91
  • Neurology 41
Replace David C. Spelic with:
David C. Spelic United States
Asuka Oyama Japan
Arunnit Boonrod Thailand
Kanishka Sharma United Kingdom
Yung-Hui Huang Taiwan
Navdeep Dahiya United States
Omran Al Dandan Saudi Arabia
Bin Liang China
Trevor D. Cradduck Canada
Mahdi Hosseinzadeh Iran
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Citations per field
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David C. Spelic · 1×
Citations per year

Countries citing papers authored by Matthew Guy

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Guy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Guy Line = papers co-authored together Matthew Guy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200357
2 200546
3 202346
4 202245
5 200240
6 201940
7 199738
8 199832
9 202325
10 201420
11 201518
12 201117
13 200116
14 200615
15 200513
16 201712
17 200511
18 201511
19 200910
20 200910

About Matthew Guy

Matthew Guy is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 635 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (26 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Medical Image Segmentation Techniques (9 papers), Advanced Radiotherapy Techniques (7 papers), Diabetes Management and Research (3 papers), Digital Radiography and Breast Imaging (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (346 citations), Radiation (88 citations), Health Informatics (17 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Neurology (41 citations). Matthew Guy has collaborated with scholars based in United Kingdom, Sweden and Saudi Arabia. Frequent co-authors include Glenn Flux, Maggie A. Flower, R.J. Ott, Kevin Wells, Daniel R. McGowan, Ryan McConville, Emma B Lewis, Paul J. Hinton, Paul Marshall and R.P. Clauss. Their work appears in journals such as Nuclear Medicine Communications, Physics in Medicine and Biology, Journal of Alzheimer s Disease, IEEE Transactions on Nuclear Science and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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