Jennifer E. Corbett

667 total citations
26 papers, 479 citations indexed

About

Jennifer E. Corbett is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jennifer E. Corbett has authored 26 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jennifer E. Corbett's work include Visual perception and processing mechanisms (24 papers), Neural and Behavioral Psychology Studies (11 papers) and Neural dynamics and brain function (6 papers). Jennifer E. Corbett is often cited by papers focused on Visual perception and processing mechanisms (24 papers), Neural and Behavioral Psychology Studies (11 papers) and Neural dynamics and brain function (6 papers). Jennifer E. Corbett collaborates with scholars based in United States, Italy and Canada. Jennifer E. Corbett's co-authors include Chris Oriet, David Melcher, David Whitney, Jason Fischer, Marisa Carrasco, Alex Schwartz, James T. Enns, Ronald A. Rensink, Jaap Munneke and Todd C. Handy and has published in prestigious journals such as PLoS ONE, Brain Research and Psychological Science.

In The Last Decade

Jennifer E. Corbett

25 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer E. Corbett United States 12 437 130 83 70 40 26 479
Allison Yamanashi Leib United States 11 548 1.3× 195 1.5× 116 1.4× 86 1.2× 34 0.8× 17 663
Hee Yeon Im United States 13 322 0.7× 95 0.7× 67 0.8× 38 0.5× 45 1.1× 31 375
Alina Liberman United States 8 707 1.6× 218 1.7× 69 0.8× 77 1.1× 35 0.9× 14 778
Igor Utochkin Russia 14 332 0.8× 108 0.8× 91 1.1× 70 1.0× 10 0.3× 44 386
Chris Oriet Canada 17 594 1.4× 163 1.3× 202 2.4× 91 1.3× 28 0.7× 37 676
Ben Bauer Canada 11 381 0.9× 152 1.2× 112 1.3× 123 1.8× 17 0.4× 15 489
Kyriaki Mikellidou Italy 12 517 1.2× 146 1.1× 69 0.8× 23 0.3× 28 0.7× 20 581
Matthias Fritsche Netherlands 9 532 1.2× 137 1.1× 57 0.7× 40 0.6× 26 0.7× 20 607
Anna Kosovicheva United States 12 340 0.8× 80 0.6× 79 1.0× 42 0.6× 15 0.4× 36 439
Jongsoo Baek South Korea 9 206 0.5× 65 0.5× 37 0.4× 49 0.7× 13 0.3× 16 270

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-authorship network of co-authors of Jennifer E. Corbett

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Corbett. A scholar is included among the top collaborators of Jennifer E. Corbett 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 Jennifer E. Corbett. Jennifer E. Corbett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Corbett, Jennifer E., Igor Utochkin, & Shaul Hochstein. (2023). The Pervasiveness of Ensemble Perception. Cambridge University Press eBooks. 18 indexed citations
2.
Munneke, Jaap, et al.. (2022). Value-driven effects on perceptual averaging. Attention Perception & Psychophysics. 84(3). 781–794. 4 indexed citations
3.
Corbett, Jennifer E., et al.. (2020). Adaptation to average duration. Attention Perception & Psychophysics. 83(3). 1190–1200. 3 indexed citations
4.
Munneke, Jaap, Jennifer E. Corbett, & Erik Van der Burg. (2020). Learned prioritization yields attentional biases through selection history. Attention Perception & Psychophysics. 82(5). 2244–2256. 3 indexed citations
5.
Corbett, Jennifer E. & Jaap Munneke. (2019). Statistical stability and set size exert distinct influences on visual search. Attention Perception & Psychophysics. 82(2). 832–839. 2 indexed citations
6.
Munneke, Jaap, et al.. (2018). Set similarity modulates object tracking in dynamic environments. Attention Perception & Psychophysics. 80(7). 1744–1751. 1 indexed citations
7.
Corbett, Jennifer E., Paola Venuti, & David Melcher. (2016). Perceptual Averaging in Individuals with Autism Spectrum Disorder. Frontiers in Psychology. 7. 1735–1735. 15 indexed citations
8.
Corbett, Jennifer E. & David Melcher. (2014). Stable statistical representations facilitate visual search.. Journal of Experimental Psychology Human Perception & Performance. 40(5). 1915–1925. 32 indexed citations
9.
Melcher, David, et al.. (2014). Global statistical regularities modulate the speed of visual search in patients with focal attentional deficits. Frontiers in Psychology. 5. 514–514. 9 indexed citations
10.
Corbett, Jennifer E. & Joo‐Hyun Song. (2014). Statistical extraction affects visually guided action. Visual Cognition. 22(7). 881–895. 12 indexed citations
11.
Corbett, Jennifer E. & David Melcher. (2013). Summary statistics support spatiotemporal stability.. Journal of Vision. 13(9). 1043–1043. 1 indexed citations
12.
Corbett, Jennifer E. & David Melcher. (2013). Characterizing ensemble statistics: mean size is represented across multiple frames of reference. Attention Perception & Psychophysics. 76(3). 746–758. 34 indexed citations
13.
Corbett, Jennifer E. & Marisa Carrasco. (2011). Visual Performance Fields: Frames of Reference. PLoS ONE. 6(9). e24470–e24470. 39 indexed citations
14.
Corbett, Jennifer E. & Chris Oriet. (2011). The whole is indeed more than the sum of its parts: Perceptual averaging in the absence of individual item representation. Acta Psychologica. 138(2). 289–301. 84 indexed citations
15.
Corbett, Jennifer E., Jason Fischer, & David Whitney. (2011). Facilitating Stable Representations: Serial Dependence in Vision. PLoS ONE. 6(1). e16701–e16701. 62 indexed citations
16.
Corbett, Jennifer E., Jason Fischer, & David Whitney. (2010). Averaging independent estimates improves pattern recognition. Journal of Vision. 9(8). 819–819.
17.
Corbett, Jennifer E., James T. Enns, & Todd C. Handy. (2009). Electrophysiological evidence for a post-perceptual influence of global visual context on perceived orientation. Brain Research. 1292. 82–92. 6 indexed citations
18.
Corbett, Jennifer E., Todd C. Handy, & James T. Enns. (2008). When do we know which way is up? The time course of orientation perception. Vision Research. 49(1). 28–37. 13 indexed citations
19.
Corbett, Jennifer E., Chris Oriet, & Ronald A. Rensink. (2006). The rapid extraction of numeric meaning. Vision Research. 46(10). 1559–1573. 18 indexed citations
20.
Corbett, Jennifer E. & James T. Enns. (2006). Observer pitch and roll influence: The rod and frame illusion. Psychonomic Bulletin & Review. 13(1). 160–165. 10 indexed citations

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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