Tom Kimpe

63 papers receiving 357 citations

Peers

Tom Kimpe
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 108
  • Biophysics 26
  • Computer Vision and Pattern Recognition 89
  • Health Informatics 5
  • Pulmonary and Respiratory Medicine 100
Replace Frédéric Richard with:
Frédéric Richard France
Robin Sandkühler Switzerland
Axel Saalbach Germany
Mihir Sahasrabudhe France
Ahmet Tüysüzoğlu United States
Michael Baumgartner Germany
Yi Fan China
Lingzhi Hu China
Junyu Chen United States
Tom Kimpe relative to Frédéric Richard France Frédéric Richard's profile →
Citations per field
00.5×3.6×
Frédéric Richard · 1×
Citations per year

Countries citing papers authored by Tom Kimpe

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kimpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200699
2 201832
3 200817
4 201516
5 202115
6 202011
7 200511
8 201611
9 201911
10 201510
11 200710
12 201410
13 20148
14 20167
15 20147
16 20077
17 20146
18 20055
19 20155
20 20164

About Tom Kimpe

Tom Kimpe is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 70 papers that have together received 376 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (19 papers), AI in cancer detection (16 papers), Image and Video Quality Assessment (11 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Computer Graphics and Visualization Techniques (6 papers), Color Science and Applications (6 papers), Visual perception and processing mechanisms (6 papers) and Advanced Optical Imaging Technologies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (108 citations), Biophysics (26 citations), Computer Vision and Pattern Recognition (89 citations), Health Informatics (5 citations) and Pulmonary and Respiratory Medicine (100 citations). Tom Kimpe has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Albert Xthona, Andrew D. A. Maidment, Predrag R. Bakić, Patrick De Visschere, Susan P. Weinstein, Kristiaan Neyts, Bruno Barufaldi, Bert Vankeirsbilck, Bart Dhoedt and Gert Van Hoey. Their work appears in journals such as Medical Physics, Journal of Display Technology, Journal of Digital Imaging, International Journal of Computer Assisted Radiology and Surgery and Journal of the Society for Information Display.

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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