Candace E. Peacock

539 citations
19 papers · 278 · h-index 9

Impact in

Papers in

Candace E. Peacock

18 papers receiving 273 citations

Peers

Candace E. Peacock
Comparison fields: 5 of 41
  • Human-Computer Interaction 121
  • Sensory Systems 46
  • Cognitive Neuroscience 173
  • Computer Vision and Pattern Recognition 156
  • Experimental and Cognitive Psychology 32
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Alper Açık Germany
B. Hidalgo-Sotelo United States
David Souto Switzerland
Anna Belardinelli Germany
G. J. Zelinsky United States
Y. Kuzmova United States
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Christina Trepkowski Germany
Jiye Shen Canada
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Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Candace E. Peacock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 13 scholars most cited alongside Candace E. Peacock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Candace E. Peacock Line = papers co-authored together Candace E. Peacock links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202183
2 201938
3 201836
4 201923
5 202014
6 202212
7 202012
8 202012
9 202112
10 20188
11 20228
12 20246
13 20224
14 20184
15 20232
16 20222
17 20171
18 20201
19 20170

About Candace E. Peacock

Candace E. Peacock is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Sensory Systems, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (12 papers), Visual perception and processing mechanisms (8 papers), Olfactory and Sensory Function Studies (7 papers), Gaze Tracking and Assistive Technology (5 papers), Neural and Behavioral Psychology Studies (3 papers), Aesthetic Perception and Analysis (3 papers), Face Recognition and Perception (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Human-Computer Interaction (121 citations), Sensory Systems (46 citations), Cognitive Neuroscience (173 citations), Computer Vision and Pattern Recognition (156 citations) and Experimental and Cognitive Psychology (32 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, Gideon P. Caplovitz, Stephanie Santosa, Ben Lafreniere and Arne D. Ekstrom. Their work appears in journals such as Journal of Vision, Attention Perception & Psychophysics, Proceedings of the ACM on Human-Computer Interaction, Perception and Acta Psychologica.

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.

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