Arjan Gijsenij
- Computer Vision and Pattern Recognition top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Media Technology top 0.5%
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Joost van de WeijerTheo GeversRui LüMarcel P. LucassenJan‐Mark GeusebroekGraham D. FinlaysonJingyuan ZhangPeter Gehler
- Topics
- Color Science and Applications (31 papers)Image Enhancement Techniques (24 papers)Color perception and design (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyAtomic and Molecular Physics, and Optics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- NetherlandsSpainUnited Kingdom
In The Last Decade
Arjan Gijsenij
32 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 1.8k
- Atomic and Molecular Physics, and Optics 1.5k
- Media Technology 643
- Social Psychology 389
- Cognitive Neuroscience 174
Countries citing papers authored by Arjan Gijsenij
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 23 | |
| 3 | 7 | |
| 4 | 29 | |
| 5 | 108 | |
| 6 | Computational Color Constancy: Survey and Experimentsbreakdown → | 371 |
| 7 | 127 | |
| 8 | 2 | |
| 9 | Adding Texture to Color: Quantitative Analysis of Color Emotions | 4 |
| 10 | 185 | |
| 11 | 25 | |
| 12 | 64 | |
| 13 | 10 | |
| 14 | 32 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | Edge-Based Color Constancybreakdown → | 644 |
| 20 | 16 |
About Arjan Gijsenij
Arjan Gijsenij is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Color Science and Applications (31 papers), Image Enhancement Techniques (24 papers) and Color perception and design (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Media Technology (643 citations) and Atomic and Molecular Physics, and Optics (1.5k citations). Arjan Gijsenij has collaborated with scholars based in Netherlands, Spain and United Kingdom. Frequent 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 Brian Funt. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.