Jennifer E. Corbett

667 citations
26 papers · 479 · h-index 12

Impact in

Papers in

Jennifer E. Corbett

25 papers receiving 470 citations

Peers

Jennifer E. Corbett
Comparison fields: 5 of 51
  • Cognitive Neuroscience 437
  • Experimental and Cognitive Psychology 130
  • Statistics and Probability 40
  • Social Psychology 83
  • Computer Vision and Pattern Recognition 70
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Hee Yeon Im United States
Kyriaki Mikellidou Italy
Alina Liberman United States
Allison Yamanashi Leib United States
Matthias Fritsche Netherlands
Anna Kosovicheva United States
Ben Bauer Canada
Igor Utochkin Russia
Chris Oriet Canada
Matteo Toscani Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer E. Corbett

Since Specialization
Citations

This map shows the geographic impact of Jennifer E. Corbett'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 Jennifer E. Corbett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. Corbett more than expected).

Fields of papers citing papers by Jennifer E. Corbett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Corbett. 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 Jennifer E. Corbett. The network helps show where Jennifer E. Corbett may publish in the future.

Co-authors

The 16 scholars most cited alongside Jennifer E. Corbett, 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 Jennifer E. Corbett Line = papers co-authored together Jennifer E. Corbett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201184
2 201162
3 201257
4 201139
5 201334
6 201634
7 201432
8 200618
9 202318
10 201615
11 200813
12 201412
13 200610
14 20149
15 20048
16 20107
17 20096
18 20185
19 20224
20 20203

About Jennifer E. Corbett

Jennifer E. Corbett is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Social Psychology and Statistics and Probability, having authored 26 papers that have together received 479 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (24 papers), Neural and Behavioral Psychology Studies (11 papers), Neural dynamics and brain function (6 papers), Multisensory perception and integration (4 papers), Visual Attention and Saliency Detection (3 papers), Color perception and design (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (437 citations), Experimental and Cognitive Psychology (130 citations), Statistics and Probability (40 citations), Social Psychology (83 citations) and Computer Vision and Pattern Recognition (70 citations). Jennifer E. Corbett has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Chris Oriet, David Melcher, David Whitney, Jason Fischer, Marisa Carrasco, Alex Schwartz, James T. Enns, Ronald A. Rensink, Jaap Munneke and Igor Utochkin. Their work appears in journals such as Attention Perception & Psychophysics, Journal of Vision, Frontiers in Psychology, Vision Research and PLoS ONE.

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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