Candace E. Peacock
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Sensory Systems top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Taylor R. HayesJohn M. HendersonTanya R. JonkerHrvoje BenkoTing ZhangFernanda FerreiraArne D. EkstromGideon P. Caplovitz
- Topics
- Visual Attention and Saliency Detection (12 papers)Visual perception and processing mechanisms (8 papers)Olfactory and Sensory Function Studies (7 papers)
- Journals
- Journal of Experimental Psychology Learning Memory and CognitionFrontiers in PsychologyPsychonomic Bulletin & Review
- Partner nations
- United StatesTürkiye
In The Last Decade
Candace E. Peacock
18 papers receiving 264 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 171
- Computer Vision and Pattern Recognition 155
- Human-Computer Interaction 122
- Sensory Systems 46
- Experimental and Cognitive Psychology 31
Countries citing papers authored by Candace E. Peacock
This map shows the geographic impact of Candace E. Peacock'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 Candace E. Peacock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candace E. Peacock more than expected).
Fields of papers citing papers by Candace E. Peacock
This network shows the impact of papers produced by Candace E. Peacock. 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 Candace E. Peacock. The network helps show where Candace E. Peacock may publish in the future.
Co-authorship network of co-authors of Candace E. Peacock
This figure shows the co-authorship network connecting the top 25 collaborators of Candace E. Peacock. A scholar is included among the top collaborators of Candace E. Peacock 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 Candace E. Peacock. Candace E. Peacock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 81 | |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 38 | |
| 14 | 22 | |
| 15 | 8 | |
| 16 | 35 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 0 |
About Candace E. Peacock
Candace E. Peacock is a scholar working on Sensory Systems, Human-Computer Interaction and Cognitive Neuroscience, having authored 19 papers that have together received 269 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (12 papers), Visual perception and processing mechanisms (8 papers) and Olfactory and Sensory Function Studies (7 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Sensory Systems (46 citations) and Cognitive Neuroscience (171 citations). Candace E. Peacock has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Taylor R. Hayes, John M. Henderson, Tanya R. Jonker, Hrvoje Benko, Ting Zhang, Fernanda Ferreira, Arne D. Ekstrom, Gideon P. Caplovitz, Marian E. Berryhill and Elizabeth H. Hall. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Frontiers in Psychology and Psychonomic Bulletin & Review.
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.