Graham D. Finlayson
- Computer Vision and Pattern Recognition top 0.1%
- Atomic and Molecular Physics, and Optics top 0.5%
- Media Technology top 0.2%
- Social Psychology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Mark S. DrewS. D. HordleyBrian FuntCheng LuSteven D. HordleyPaul M. HubelMichał MackiewiczGerald Schaefer
- Topics
- Color Science and Applications (172 papers)Image Enhancement Techniques (138 papers)Color perception and design (38 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Graham D. Finlayson
219 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 4.8k
- Atomic and Molecular Physics, and Optics 3.4k
- Media Technology 1.3k
- Social Psychology 855
- Cognitive Neuroscience 662
Countries citing papers authored by Graham D. Finlayson
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | Semi-supervised semantic segmentation needs strong, high-dimensional perturbations | 48 |
| 6 | Consistency regularization and CutMix for semi-supervised semantic segmentation. | 10 |
| 7 | 10 | |
| 8 | The Role of Bright Pixels in Illumination Estimation | 32 |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 431 | |
| 13 | Convex Programming Color Constancy | 6 |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 42 | |
| 18 | 74 | |
| 19 | Color by correction | 1 |
| 20 | Colour Constancy Using Shadows | 4 |
About Graham D. Finlayson
Graham D. Finlayson is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology, having authored 232 papers that have together received 6.0k indexed citations. Recurring topics across this work include Color Science and Applications (172 papers), Image Enhancement Techniques (138 papers) and Color perception and design (38 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.8k citations), Media Technology (1.3k citations) and Atomic and Molecular Physics, and Optics (3.4k citations). Graham D. Finlayson has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Mark S. Drew, S. D. Hordley, Brian Funt, Cheng Lu, Steven D. Hordley, Paul M. Hubel, Michał Mackiewicz, Gerald Schaefer, Anya Hurlbert and Peter Morovič. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Psychological Review.
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.