Carol Yin
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Atomic and Molecular Physics, and Optics
- Co-authors
- Thomas F. ShipleyPhilip J. KellmanDonald G. MacKayStephen A. EngelShinsuke ShimojoCassandra MooreGabriele WulfLisa Abrams
- Topics
- Visual perception and processing mechanisms (6 papers)Ophthalmology and Visual Impairment Studies (2 papers)Tactile and Sensory Interactions (2 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Current BiologyJournal of Experimental Psychology Human Perception & PerformanceBehavioral and Brain Sciences
- Partner nations
- United StatesGermany
In The Last Decade
Carol Yin
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 302
- Computer Vision and Pattern Recognition 81
- Experimental and Cognitive Psychology 76
- Social Psychology 40
- Atomic and Molecular Physics, and Optics 39
Countries citing papers authored by Carol Yin
This map shows the geographic impact of Carol Yin'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 Carol Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Yin more than expected).
Fields of papers citing papers by Carol Yin
This network shows the impact of papers produced by Carol Yin. 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 Carol Yin. The network helps show where Carol Yin may publish in the future.
Co-authorship network of co-authors of Carol Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Yin. A scholar is included among the top collaborators of Carol Yin 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 Carol Yin. Carol Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 36 | |
| 3 | 52 | |
| 4 | 65 | |
| 5 | 57 | |
| 6 | 3 | |
| 7 | 63 | |
| 8 | 36 |
About Carol Yin
Carol Yin is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Experimental and Cognitive Psychology, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (6 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Cognitive Neuroscience (302 citations), Experimental and Cognitive Psychology (76 citations) and Computer Vision and Pattern Recognition (81 citations). Carol Yin has collaborated with scholars based in United States and Germany. Frequent co-authors include Thomas F. Shipley, Philip J. Kellman, Donald G. MacKay, Stephen A. Engel, Shinsuke Shimojo, Cassandra Moore, Gabriele Wulf, Lisa Abrams, Liana Machado and Patrick Garrigan. Their work appears in journals such as Current Biology, Journal of Experimental Psychology Human Perception & Performance and Behavioral and Brain 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.