Mark D. Fairchild
- Atomic and Molecular Physics, and Optics top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 0.5%
- Cognitive Neuroscience top 1%
- Media Technology top 0.5%
- Co-authors
- Garrett JohnsonJiangtao KuangLisa ReniffRoy S. BernsJames A. FerwerdaSumanta PattanaikDonald P. GreenbergPeter Lennie
- Topics
- Color Science and Applications (204 papers)Color perception and design (127 papers)Visual perception and processing mechanisms (95 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Mark D. Fairchild
234 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Atomic and Molecular Physics, and Optics 2.8k
- Computer Vision and Pattern Recognition 2.4k
- Social Psychology 1.4k
- Cognitive Neuroscience 1.3k
- Media Technology 599
Countries citing papers authored by Mark D. Fairchild
This map shows the geographic impact of Mark D. Fairchild'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 Mark D. Fairchild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Fairchild more than expected).
Fields of papers citing papers by Mark D. Fairchild
This network shows the impact of papers produced by Mark D. Fairchild. 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 Mark D. Fairchild. The network helps show where Mark D. Fairchild may publish in the future.
Co-authorship network of co-authors of Mark D. Fairchild
This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Fairchild. A scholar is included among the top collaborators of Mark D. Fairchild 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 Mark D. Fairchild. Mark D. Fairchild 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 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | Color reproduction using "Black-Point Adaptation" | 2 |
| 17 | 26 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 6 |
About Mark D. Fairchild
Mark D. Fairchild is a scholar working on Atomic and Molecular Physics, and Optics, Social Psychology and Cognitive Neuroscience, having authored 247 papers that have together received 4.6k indexed citations. Recurring topics across this work include Color Science and Applications (204 papers), Color perception and design (127 papers) and Visual perception and processing mechanisms (95 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Computer Graphics and Computer-Aided Design (355 citations) and Atomic and Molecular Physics, and Optics (2.8k citations). Mark D. Fairchild has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Garrett Johnson, Jiangtao Kuang, Lisa Reniff, Roy S. Berns, James A. Ferwerda, Sumanta Pattanaik, Donald P. Greenberg, Peter Lennie, David R. Wyble and Karen M. Braun. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry and IEEE Transactions on Image Processing.
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.