Tom Kimpe

54 papers receiving 293 citations

Peers

Tom Kimpe
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 111
  • Computer Vision and Pattern Recognition 81
  • Media Technology 32
  • Computer Graphics and Computer-Aided Design 12
  • Biophysics 20
Replace Shizuo Kaji with:
Shizuo Kaji Japan
Christian Daul France
Frédéric Richard France
Axel Saalbach Germany
Rainer Sprengel Germany
Craig Cornelius United States
Paul Evans United Kingdom
Amarpreet S. Chawla United States
Dieter Seghers Switzerland
J. Weston Hughes United States
Tom Kimpe relative to Shizuo Kaji Japan Shizuo Kaji's profile →
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200686
2 201832
3 201516
4 200815
5 202113
6 200511
7 200710
8 202010
9 201510
10 20148
11 20077
12 20146
13 20146
14 20165
15 20054
16 20154
17 20164
18 20163
19 20163
20 20173

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 Media Technology, having authored 61 papers that have together received 309 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (15 papers), AI in cancer detection (11 papers), Image and Video Quality Assessment (10 papers), Advanced Optical Imaging Technologies (7 papers), Computer Graphics and Visualization Techniques (7 papers), Visual perception and processing mechanisms (6 papers), Color Science and Applications (6 papers) and Thin-Film Transistor Technologies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (111 citations), Computer Vision and Pattern Recognition (81 citations), Media Technology (32 citations), Computer Graphics and Computer-Aided Design (12 citations) and Biophysics (20 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, Kristiaan Neyts, Susan P. Weinstein, Bruno Barufaldi, Grigorij Muliuk, Gert Van Hoey and Bert Vankeirsbilck. 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 American Academy of Dermatology.

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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