Kees Teunissen

46 papers receiving 384 citations

Peers

Kees Teunissen
Comparison fields: 5 of 65
  • Media Technology 147
  • Human-Computer Interaction 55
  • Computer Vision and Pattern Recognition 182
  • Cognitive Neuroscience 163
  • Acoustics and Ultrasonics 5
Replace Peter G. Engeldrum with:
Peter G. Engeldrum United States
Youngshin Kwak South Korea
Laurent Blondé France
Davide Gadia Italy
Erno H. A. Langendijk Netherlands
Jeffrey M. DiCarlo United States
Ricardo J. Motta United States
Michael J. Sinai United States
Matthew Trentacoste Canada
Seyed Ali Amirshahi Norway
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Citations per field
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Citations per year

Countries citing papers authored by Kees Teunissen

Since Specialization
Citations

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

Fields of papers citing papers by Kees Teunissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201139
2 201734
3
CIE 2017 colour fidelity index for accurate scientific use
201731
4 199525
5 200723
6 200620
7 199620
8 200818
9 200618
10 199616
11 200915
12 202013
13 201013
14 200813
15 201912
16 200811
17 20179
18 20088
19 19968
20 20187

About Kees Teunissen

Kees Teunissen is a scholar working on Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Media Technology and Social Psychology, having authored 48 papers that have together received 433 indexed citations. Recurring topics across this work include Color Science and Applications (21 papers), Visual perception and processing mechanisms (17 papers), Advanced Optical Imaging Technologies (12 papers), Color perception and design (10 papers), Surface Roughness and Optical Measurements (10 papers), Image and Video Quality Assessment (10 papers), Industrial Vision Systems and Defect Detection (6 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Media Technology (147 citations), Human-Computer Interaction (55 citations), Computer Vision and Pattern Recognition (182 citations), Cognitive Neuroscience (163 citations) and Acoustics and Ultrasonics (5 citations). Kees Teunissen has collaborated with scholars based in Netherlands, China and Belgium. Frequent co-authors include Ingrid Heynderickx, Yan Tu, Joyce H. D. M. Westerink, Li Chen, Yuning Zhang, Kevin Smet, Lili Wang, Peter Hanselaer, Stuart Robson and Capucine Korenberg. Their work appears in journals such as Journal of the Society for Information Display, Optics Express, Displays, Lighting Research & Technology and Optics Letters.

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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