Carrie A. Joyce
- Cognitive Neuroscience top 2%
- Signal Processing top 2%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Developmental and Educational Psychology top 5%
- Co-authors
- Garrison W. CottrellMarta KutasI.F. GorodnitskyBruno RossionMichael J. TarrMatthew N. DaileyMichael J. LyonsJiro Gyoba
- Topics
- Face Recognition and Perception (8 papers)Visual Attention and Saliency Detection (5 papers)EEG and Brain-Computer Interfaces (3 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Carrie A. Joyce
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 1.2k
- Signal Processing 307
- Experimental and Cognitive Psychology 300
- Computer Vision and Pattern Recognition 178
- Developmental and Educational Psychology 164
Countries citing papers authored by Carrie A. Joyce
This map shows the geographic impact of Carrie A. Joyce'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 Carrie A. Joyce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carrie A. Joyce more than expected).
Fields of papers citing papers by Carrie A. Joyce
This network shows the impact of papers produced by Carrie A. Joyce. 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 Carrie A. Joyce. The network helps show where Carrie A. Joyce may publish in the future.
Co-authorship network of co-authors of Carrie A. Joyce
This figure shows the co-authorship network connecting the top 25 collaborators of Carrie A. Joyce. A scholar is included among the top collaborators of Carrie A. Joyce 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 Carrie A. Joyce. Carrie A. Joyce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 22 | |
| 3 | 23 | |
| 4 | 23 | |
| 5 | Are Greebles Special? Or, Why the Fusiform Fish Area Would be Recruited for Sword Expertise (If We had One) | 8 |
| 6 | Bridging Ethnography and Engineering through the Graphical Language of Petri Nets | 1 |
| 7 | 17 | |
| 8 | Visual Expertise Depends on How You Slice the Space | 6 |
| 9 | Early lateralization and orientation tuning for face, word, and object processing in the visual cortexbreakdown → | 638 |
| 10 | 464 | |
| 11 | 30 | |
| 12 | 8 | |
| 13 | 27 | |
| 14 | 20 |
About Carrie A. Joyce
Carrie A. Joyce is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face Recognition and Perception (8 papers), Visual Attention and Saliency Detection (5 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Signal Processing (307 citations) and Experimental and Cognitive Psychology (300 citations). Carrie A. Joyce has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Garrison W. Cottrell, Marta Kutas, I.F. Gorodnitsky, Bruno Rossion, Michael J. Tarr, Matthew N. Dailey, Michael J. Lyons, Jiro Gyoba, Miyuki Kamachi and Ken A. Paller. Their work appears in journals such as NeuroImage, Brain Research and Journal of Cognitive Neuroscience.
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.