Matthew Dimmock

47 papers receiving 476 citations

Peers

Matthew Dimmock
Comparison fields: 5 of 102
  • Radiation 193
  • Human-Computer Interaction 43
  • Radiology, Nuclear Medicine and Imaging 174
  • Nuclear and High Energy Physics 84
  • Structural Biology 9
Replace Toshioh Fujibuchi with:
Toshioh Fujibuchi Japan
Per Thunberg Sweden
Gabriel Kuhl Brazil
Daisuke Shimao Japan
Francesca Greco Italy
H. Chotas United States
Lois Rutz United States
H. Hasebe Japan
C. Meyer Switzerland
Martina Giovannella Spain
Matthew Dimmock relative to Toshioh Fujibuchi Japan Toshioh Fujibuchi's profile →
Citations per field
00.5×9.3×
Toshioh Fujibuchi · 1×
Citations per year

Countries citing papers authored by Matthew Dimmock

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dimmock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Dimmock, 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 Dimmock Line = papers co-authored together Matthew Dimmock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 201841
3 201836
4 202134
5 201932
6 201920
7 201420
8 200619
9 200718
10 202118
11 202417
12 201815
13 200915
14 202013
15 202012
16 202011
17 201810
18 20209
19 20099
20 20097

About Matthew Dimmock

Matthew Dimmock is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Nuclear and High Energy Physics, having authored 50 papers that have together received 483 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (16 papers), Advanced X-ray and CT Imaging (14 papers), Particle Detector Development and Performance (10 papers), Nuclear Physics and Applications (10 papers), Medical Imaging Techniques and Applications (9 papers), Radiation Dose and Imaging (8 papers), Advanced X-ray Imaging Techniques (7 papers) and Advanced Semiconductor Detectors and Materials (6 papers). The work is most often cited by research in Radiation (193 citations), Human-Computer Interaction (43 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Nuclear and High Energy Physics (84 citations) and Structural Biology (9 citations). Matthew Dimmock has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Matthew Mundy, Marilyn Baird, J.E. Gillam, Timur E. Gureyev, Jeremy M. C. Brown, Yakov I. Nesterets, Sarah Lewis, David M. Paganin, I. Lazarus and Richard Bassed. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Physics and Imaging in Radiation Oncology, Frontiers in Oncology and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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