Graham D. Finlayson

10.5k total citations · 1 hit paper
232 papers, 6.0k citations indexed

About

Graham D. Finlayson is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Graham D. Finlayson has authored 232 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Vision and Pattern Recognition, 172 papers in Atomic and Molecular Physics, and Optics and 39 papers in Media Technology. Recurrent topics in Graham D. Finlayson's work include Color Science and Applications (172 papers), Image Enhancement Techniques (138 papers) and Color perception and design (38 papers). Graham D. Finlayson is often cited by papers focused on Color Science and Applications (172 papers), Image Enhancement Techniques (138 papers) and Color perception and design (38 papers). Graham D. Finlayson collaborates with scholars based in United Kingdom, Canada and United States. Graham D. Finlayson's co-authors include Mark S. Drew, S. D. Hordley, Brian Funt, Cheng Lu, Paul M. Hubel, Steven D. Hordley, Michał Mackiewicz, Gerald Schaefer, Anya Hurlbert and Peter Morovič and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Psychological Review.

In The Last Decade

Graham D. Finlayson

219 papers receiving 5.5k citations

Hit Papers

On the removal of shadows from images 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graham D. Finlayson United Kingdom 36 4.8k 3.4k 1.3k 855 662 232 6.0k
Brian Funt Canada 35 3.6k 0.7× 3.1k 0.9× 970 0.7× 771 0.9× 687 1.0× 147 4.5k
Raimondo Schettini Italy 33 3.7k 0.8× 921 0.3× 1.0k 0.8× 230 0.3× 169 0.3× 275 5.1k
Simone Bianco Italy 25 1.6k 0.3× 715 0.2× 336 0.3× 189 0.2× 144 0.2× 105 2.4k
Todd Zickler United States 33 2.9k 0.6× 652 0.2× 808 0.6× 88 0.1× 174 0.3× 96 3.8k
Rafał Mantiuk United Kingdom 33 4.3k 0.9× 1.3k 0.4× 1.0k 0.8× 136 0.2× 508 0.8× 167 4.9k
Paul Debevec United States 49 9.8k 2.0× 1.3k 0.4× 2.0k 1.5× 147 0.2× 535 0.8× 200 11.8k
Karol Myszkowski Germany 36 4.2k 0.9× 1.2k 0.3× 1.3k 1.0× 113 0.1× 569 0.9× 183 5.0k
Julie Dorsey United States 37 3.9k 0.8× 545 0.2× 830 0.6× 51 0.1× 187 0.3× 113 5.6k
Patrick Le Callet France 35 4.2k 0.9× 470 0.1× 1.4k 1.1× 101 0.1× 663 1.0× 253 4.9k
Michael J. Swain United States 16 4.3k 0.9× 253 0.1× 841 0.6× 67 0.1× 165 0.2× 45 5.0k

Countries citing papers authored by Graham D. Finlayson

Since Specialization
Citations

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

Fields of papers citing papers by Graham D. Finlayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham D. Finlayson. 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 Graham D. Finlayson. The network helps show where Graham D. Finlayson may publish in the future.

Co-authorship network of co-authors of Graham D. Finlayson

This figure shows the co-authorship network connecting the top 25 collaborators of Graham D. Finlayson. A scholar is included among the top collaborators of Graham D. Finlayson 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 Graham D. Finlayson. Graham D. Finlayson 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.
Thompson, Michael B., et al.. (2023). Weibull Tone Mapping (WTM) for the Enhancement of Underwater Imagery. Sensors. 23(7). 3533–3533. 1 indexed citations
2.
Finlayson, Graham D., et al.. (2023). First-principles Approach to Image Lightness Processing. Color and Imaging Conference. 31(1). 115–121. 1 indexed citations
3.
Finlayson, Graham D., et al.. (2023). An investigation on worst‐case spectral reconstruction from RGB images via Radiance Mondrian World assumption. Color Research & Application. 48(2). 230–242. 5 indexed citations
4.
Finlayson, Graham D., et al.. (2020). Physically Plausible Spectral Reconstruction. Sensors. 20(21). 6399–6399. 19 indexed citations
5.
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
6.
Aila, Timo, et al.. (2019). Semi-supervised semantic segmentation needs strong, high-dimensional perturbations. arXiv (Cornell University). 48 indexed citations
7.
Aila, Timo, et al.. (2019). Consistency regularization and CutMix for semi-supervised semantic segmentation.. arXiv (Cornell University). 10 indexed citations
8.
Mackiewicz, Michał, et al.. (2012). Spectrally tunable LED illuminator for vision research. Conference on Colour in Graphics Imaging and Vision. 6(1). 372–377. 10 indexed citations
9.
Hadian, Mohammad Reza, et al.. (2012). The Role of Bright Pixels in Illumination Estimation. UEA Digital Repository (University of East Anglia). 41–46. 32 indexed citations
10.
Fredembach, Clément & Graham D. Finlayson. (2006). Path based colour image segmentation. Conference on Colour in Graphics Imaging and Vision. 3(1). 382–386.
11.
Finlayson, Graham D. & Peter Morovič. (2004). Intensity Constrained Error-Less Colour Correction. Color and Imaging Conference. 12(1). 106–110. 3 indexed citations
12.
Finlayson, Graham D., et al.. (2004). Shades of Gray and Colour Constancy. Color and Imaging Conference. 12(1). 37–41. 431 indexed citations
13.
Finlayson, Graham D., Steven D. Hordley, & Peter Morovič. (2004). Using the SpectraCube to Build a Multispectral Image Database. Conference on Colour in Graphics Imaging and Vision. 2(1). 268–274. 10 indexed citations
14.
Finlayson, Graham D.. (2001). Convex and non-convex illumination constraints for dichromatic color constancy. Computer Vision and Pattern Recognition. 598. 4 indexed citations
15.
Finlayson, Graham D. & Sabine Süsstrunk. (2000). Performance of a Chromatic Adaptation Transform based on Spectral Sharpening. Color and Imaging Conference. 8(1). 49–55. 25 indexed citations
16.
Barnard, Kobus & Graham D. Finlayson. (2000). Shadow Identification using Colour Ratios. Color and Imaging Conference. 8(1). 97–101. 41 indexed citations
17.
Finlayson, Graham D. & S. D. Hordley. (1998). Recovering Device Sensitiviies with Quadratic Programming. UEA Digital Repository (University of East Anglia). 90–95. 52 indexed citations
18.
Finlayson, Graham D. & Mark S. Drew. (1997). White-point preserving color correction. Color and Imaging Conference. 5(1). 258–261. 42 indexed citations
19.
Finlayson, Graham D., et al.. (1994). Colour Constancy Using Shadows. Perception. 4 indexed citations
20.
Finlayson, Graham D., et al.. (1986). Assessment of adjustment to chronic hemodialysis.. PubMed. 3(1). 19–25. 1 indexed citations

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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