Kim M. Curby
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 10%
- Co-authors
- L. GauthierDaniel CollinsTim CurranKara J. BlackerJason CheinKareem JohnsonThomas W. JamesMichael J. Tarr
- Topics
- Face Recognition and Perception (28 papers)Visual perception and processing mechanisms (15 papers)Neural and Behavioral Psychology Studies (13 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- Nature NeuroscienceNeuroImageJournal of Experimental Psychology Human Perception & Performance
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kim M. Curby
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 1.1k
- Experimental and Cognitive Psychology 591
- Computer Vision and Pattern Recognition 218
- Developmental and Educational Psychology 199
- Social Psychology 167
Countries citing papers authored by Kim M. Curby
This map shows the geographic impact of Kim M. Curby'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 Kim M. Curby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim M. Curby more than expected).
Fields of papers citing papers by Kim M. Curby
This network shows the impact of papers produced by Kim M. Curby. 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 Kim M. Curby. The network helps show where Kim M. Curby may publish in the future.
Co-authorship network of co-authors of Kim M. Curby
This figure shows the co-authorship network connecting the top 25 collaborators of Kim M. Curby. A scholar is included among the top collaborators of Kim M. Curby 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 Kim M. Curby. Kim M. Curby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 78 | |
| 13 | 41 | |
| 14 | 59 | |
| 15 | 97 | |
| 16 | 32 | |
| 17 | 31 | |
| 18 | 126 | |
| 19 | 53 | |
| 20 | 20 |
About Kim M. Curby
Kim M. Curby is a scholar working on Family Practice, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face Recognition and Perception (28 papers), Visual perception and processing mechanisms (15 papers) and Neural and Behavioral Psychology Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Experimental and Cognitive Psychology (591 citations) and Developmental and Educational Psychology (199 citations). Kim M. Curby has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include L. Gauthier, Daniel Collins, Tim Curran, Kara J. Blacker, Jason Chein, Kareem Johnson, Thomas W. James, Michael J. Tarr, Daniel W. Grupe and Robert T. Schultz. Their work appears in journals such as Nature Neuroscience, NeuroImage and Journal of Experimental Psychology Human Perception & Performance.
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.