Arjan Gijsenij

3.1k total citations · 2 hit papers
33 papers, 2.1k citations indexed

About

Arjan Gijsenij is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Arjan Gijsenij has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atomic and Molecular Physics, and Optics, 25 papers in Computer Vision and Pattern Recognition and 12 papers in Social Psychology. Recurrent topics in Arjan Gijsenij's work include Color Science and Applications (31 papers), Image Enhancement Techniques (24 papers) and Color perception and design (12 papers). Arjan Gijsenij is often cited by papers focused on Color Science and Applications (31 papers), Image Enhancement Techniques (24 papers) and Color perception and design (12 papers). Arjan Gijsenij collaborates with scholars based in Netherlands, Spain and United Kingdom. Arjan Gijsenij's co-authors include Joost van de Weijer, Theo Gevers, Rui Lü, Marcel P. Lucassen, Jan‐Mark Geusebroek, Graham D. Finlayson, Jingyuan Zhang, Peter Gehler, De Xu and Lilong Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Arjan Gijsenij

32 papers receiving 2.0k citations

Hit Papers

Edge-Based Color Constancy 2007 2026 2013 2019 2007 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arjan Gijsenij Netherlands 17 1.8k 1.5k 643 389 174 33 2.1k
S. D. Hordley United Kingdom 13 1.2k 0.7× 770 0.5× 325 0.5× 190 0.5× 113 0.6× 22 1.4k
Claudio Cusano Italy 22 1.3k 0.7× 417 0.3× 257 0.4× 105 0.3× 51 0.3× 57 1.5k
Vlad C. Cardei Canada 10 628 0.3× 604 0.4× 173 0.3× 138 0.4× 69 0.4× 15 740
Weihua Xiong China 13 775 0.4× 301 0.2× 164 0.3× 71 0.2× 75 0.4× 45 906
Steven D. Hordley United Kingdom 9 517 0.3× 413 0.3× 128 0.2× 93 0.2× 73 0.4× 17 630
María Vanrell Spain 18 926 0.5× 165 0.1× 201 0.3× 120 0.3× 176 1.0× 54 1.2k
Shaobing Gao China 15 610 0.3× 232 0.2× 265 0.4× 54 0.1× 104 0.6× 35 781
Edoardo Provenzi France 12 931 0.5× 433 0.3× 341 0.5× 38 0.1× 182 1.0× 39 1.1k
Eva M. Valero Spain 13 210 0.1× 317 0.2× 156 0.2× 49 0.1× 107 0.6× 78 582
David Connah United Kingdom 11 256 0.1× 282 0.2× 109 0.2× 46 0.1× 30 0.2× 30 483

Countries citing papers authored by Arjan Gijsenij

Since Specialization
Citations

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

Fields of papers citing papers by Arjan Gijsenij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjan Gijsenij

This figure shows the co-authorship network connecting the top 25 collaborators of Arjan Gijsenij. A scholar is included among the top collaborators of Arjan Gijsenij based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arjan Gijsenij. Arjan Gijsenij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gijsenij, Arjan, et al.. (2020). Analyzing a decade of Colors of the Year. Color Research & Application. 46(1). 258–270. 7 indexed citations
2.
Finlayson, Graham D., Arjan Gijsenij, Peter Gehler, et al.. (2019). Providing a Single Ground-Truth for Illuminant Estimation for the ColorChecker Dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1286–1287. 14 indexed citations
3.
Finlayson, Graham D., Arjan Gijsenij, Peter Gehler, et al.. (2018). Rehabilitating the ColorChecker Dataset for Illuminant Estimation. Color and Imaging Conference. 26(1). 350–353. 23 indexed citations
4.
Finlayson, Graham D., et al.. (2017). A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation. Color and Imaging Conference. 25(1). 64–69. 7 indexed citations
5.
Gijsenij, Arjan, et al.. (2011). Computational Color Constancy: Survey and Experiments. IEEE Transactions on Image Processing. 20(9). 2475–2489. 371 indexed citations breakdown →
6.
Gijsenij, Arjan, Theo Gevers, & Joost van de Weijer. (2011). Improving Color Constancy by Photometric Edge Weighting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(5). 918–929. 127 indexed citations
7.
Gijsenij, Arjan, Rui Lü, & Theo Gevers. (2011). Color Constancy for Multiple Light Sources. IEEE Transactions on Image Processing. 21(2). 697–707. 108 indexed citations
8.
Lucassen, Marcel P., Theo Gevers, & Arjan Gijsenij. (2011). Color fidelity of chromatic distributions by triad illuminant comparison. UvA-DARE (University of Amsterdam). 1–6. 2 indexed citations
9.
Lucassen, Marcel P., Theo Gevers, & Arjan Gijsenij. (2010). Adding Texture to Color: Quantitative Analysis of Color Emotions. UvA-DARE (University of Amsterdam). 5–10. 4 indexed citations
10.
Gijsenij, Arjan & Theo Gevers. (2010). Color Constancy Using Natural Image Statistics and Scene Semantics. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4). 687–698. 185 indexed citations
11.
Lucassen, Marcel P., Theo Gevers, & Arjan Gijsenij. (2010). Texture affects color emotion. Color Research & Application. 36(6). 426–436. 25 indexed citations
12.
Gijsenij, Arjan, Theo Gevers, & Marcel P. Lucassen. (2009). Perceptual analysis of distance measures for color constancy algorithms. Journal of the Optical Society of America A. 26(10). 2243–2243. 64 indexed citations
13.
Gijsenij, Arjan & Theo Gevers. (2009). Shadow edge detection using geometric and photometric features. UvA-DARE (University of Amsterdam). 693–696. 10 indexed citations
14.
Gijsenij, Arjan, et al.. (2009). Color constancy using 3D scene geometry. UvA-DARE (University of Amsterdam). 1749–1756. 32 indexed citations
15.
Gijsenij, Arjan, Theo Gevers, & Joost van de Weijer. (2009). Physics-based edge evaluation for improved color constancy. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 581–588. 21 indexed citations
16.
Lucassen, Marcel P., Arjan Gijsenij, & Theo Gevers. (2008). Chromatic distribution affects colour constancy. Perception. 37. 147–147.
17.
Gijsenij, Arjan, Theo Gevers, & Joost van de Weijer. (2008). Edge Classification for Color Constancy. Conference on Colour in Graphics Imaging and Vision. 4(1). 231–234. 1 indexed citations
18.
Lucassen, Marcel P., Arjan Gijsenij, & Theo Gevers. (2008). Comparing objective and subjective error measures for color constancy. Conference on Colour in Graphics Imaging and Vision. 4(1). 198–201. 1 indexed citations
19.
Gijsenij, Arjan & Theo Gevers. (2007). Color Constancy by Local Averaging. 16 indexed citations
20.
Weijer, Joost van de, et al.. (2007). Edge-Based Color Constancy. IEEE Transactions on Image Processing. 16(9). 2207–2214. 644 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026