Anya Hurlbert
- Cognitive Neuroscience top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Social Psychology top 1%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Tomaso PoggioYazhu LingMarina BlojDaniel KerstenMichał MackiewiczGraham D. FinlaysonDavid H. BrainardNikos K. Logothetis
- Topics
- Color Science and Applications (63 papers)Color perception and design (58 papers)Visual perception and processing mechanisms (56 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Anya Hurlbert
103 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 1.5k
- Atomic and Molecular Physics, and Optics 1.1k
- Social Psychology 1.1k
- Computer Vision and Pattern Recognition 502
- Experimental and Cognitive Psychology 373
Countries citing papers authored by Anya Hurlbert
This map shows the geographic impact of Anya Hurlbert'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 Anya Hurlbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anya Hurlbert more than expected).
Fields of papers citing papers by Anya Hurlbert
This network shows the impact of papers produced by Anya Hurlbert. 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 Anya Hurlbert. The network helps show where Anya Hurlbert may publish in the future.
Co-authorship network of co-authors of Anya Hurlbert
This figure shows the co-authorship network connecting the top 25 collaborators of Anya Hurlbert. A scholar is included among the top collaborators of Anya Hurlbert 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 Anya Hurlbert. Anya Hurlbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 25 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 40 | |
| 9 | 23 | |
| 10 | 17 | |
| 11 | Chromatic texture influences chromatic contrast induction | 1 |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 42 | |
| 15 | EFFECTS OF TEXTURE AND SHADING ON THE KDE | 4 |
| 16 | CONSTRAINTS OF SPECULARITY MOTION ON GLOSSINESS AND ON SHAPE PERCEPTION | 3 |
| 17 | RECOGNITION AND PERCEPTUAL USE OF SPECULAR REFLECTIONS | 18 |
| 18 | Making machines (and artificial intelligence) see | 35 |
| 19 | A Network for Image Segmentation Using Color | 14 |
| 20 | Learning a Color Algorithm from Examples | 9 |
About Anya Hurlbert
Anya Hurlbert is a scholar working on Cognitive Neuroscience, Social Psychology and Atomic and Molecular Physics, and Optics, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Color Science and Applications (63 papers), Color perception and design (58 papers) and Visual perception and processing mechanisms (56 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Social Psychology (1.1k citations) and Atomic and Molecular Physics, and Optics (1.1k citations). Anya Hurlbert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tomaso Poggio, Yazhu Ling, Marina Bloj, Daniel Kersten, Michał Mackiewicz, Graham D. Finlayson, David H. Brainard, Nikos K. Logothetis, Stuart Crichton and Per Møller. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.