Patrick Garrigan

732 total citations
23 papers, 425 citations indexed

About

Patrick Garrigan is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Patrick Garrigan has authored 23 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Patrick Garrigan's work include Visual perception and processing mechanisms (15 papers), Neural dynamics and brain function (5 papers) and Face Recognition and Perception (5 papers). Patrick Garrigan is often cited by papers focused on Visual perception and processing mechanisms (15 papers), Neural dynamics and brain function (5 papers) and Face Recognition and Perception (5 papers). Patrick Garrigan collaborates with scholars based in United States, Austria and Germany. Patrick Garrigan's co-authors include Philip J. Kellman, Thomas F. Shipley, Vijay Balasubramanian, David H. Brainard, Peter Sterling, Jennifer M. Klein, Charles P. Ratliff, Grega Milčinski, Gašper Tkačik and Donald Kalar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Psychological Review.

In The Last Decade

Patrick Garrigan

22 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Garrigan United States 11 250 87 62 56 38 23 425
Rachel N. Denison United States 17 691 2.8× 190 2.2× 76 1.2× 37 0.7× 51 1.3× 35 816
Maryam Vaziri-Pashkam United States 14 476 1.9× 52 0.6× 81 1.3× 76 1.4× 29 0.8× 38 593
Ghislaine Richard France 7 335 1.3× 56 0.6× 39 0.6× 83 1.5× 37 1.0× 9 393
David A. Tovar United States 7 422 1.7× 68 0.8× 55 0.9× 55 1.0× 23 0.6× 11 477
A. R. Seitz United States 8 485 1.9× 103 1.2× 38 0.6× 25 0.4× 47 1.2× 12 552
Akiyoshi Kitaoka Japan 14 539 2.2× 60 0.7× 80 1.3× 124 2.2× 12 0.3× 60 641
Filipe Cristino United Kingdom 11 272 1.1× 76 0.9× 36 0.6× 191 3.4× 77 2.0× 19 512
Martin Lages United Kingdom 12 370 1.5× 62 0.7× 53 0.9× 53 0.9× 14 0.4× 50 447
Kenith V. Sobel United States 11 582 2.3× 217 2.5× 95 1.5× 52 0.9× 25 0.7× 25 670
Rebecca L. Achtman United States 8 505 2.0× 190 2.2× 58 0.9× 29 0.5× 111 2.9× 10 723

Countries citing papers authored by Patrick Garrigan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Garrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Garrigan. 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 Patrick Garrigan. The network helps show where Patrick Garrigan may publish in the future.

Co-authorship network of co-authors of Patrick Garrigan

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Garrigan. A scholar is included among the top collaborators of Patrick Garrigan 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 Patrick Garrigan. Patrick Garrigan 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.
Baker, Nicholas, et al.. (2023). Configural relations in humans and deep convolutional neural networks. Frontiers in Artificial Intelligence. 5. 961595–961595. 1 indexed citations
2.
Baker, Nicholas, Patrick Garrigan, & Philip J. Kellman. (2020). Constant curvature segments as building blocks of 2D shape representation.. Journal of Experimental Psychology General. 150(8). 1556–1580. 11 indexed citations
3.
Massey, Christine, et al.. (2019). The Synergy of Passive and Active Learning Modes in Adaptive Perceptual Learning.. PubMed. 2019. 2351–2357. 1 indexed citations
4.
Garrigan, Patrick, et al.. (2019). Perceptual Learning Benefits From Strategic Scheduling of Passive Presentations and Active, Adaptive Learning.. Journal of Vision. 19(10). 293–293. 1 indexed citations
5.
Massey, Christine, et al.. (2018). Enhancing Adaptive Learning through Strategic Scheduling of Passive and Active Learning Modes.. Cognitive Science. 1 indexed citations
6.
Garrigan, Patrick, et al.. (2016). Persistent perceptual grouping effects in the evaluation of simple arithmetic expressions. Memory & Cognition. 44(5). 750–761. 11 indexed citations
7.
Kellman, Philip J., Jennifer L. Mnookin, Gennady Erlikhman, et al.. (2014). Forensic Comparison and Matching of Fingerprints: Using Quantitative Image Measures for Estimating Error Rates through Understanding and Predicting Difficulty. PLoS ONE. 9(5). e94617–e94617. 28 indexed citations
8.
Garrigan, Patrick & Christina Hamilton. (2014). Coherence of visual representations: Attention and integration of contour shape information. Attention Perception & Psychophysics. 76(8). 2346–2359. 1 indexed citations
9.
Garrigan, Patrick & Philip J. Kellman. (2011). The Role of Constant Curvature in 2-D Contour Shape Representations. Perception. 40(11). 1290–1308. 4 indexed citations
10.
Tkačik, Gašper, Patrick Garrigan, Charles P. Ratliff, et al.. (2011). Natural Images from the Birthplace of the Human Eye. PLoS ONE. 6(6). e20409–e20409. 67 indexed citations
11.
Garrigan, Patrick, et al.. (2010). The Effects of Closure on Contour Shape Learning. Journal of Vision. 10(7). 1167–1167. 1 indexed citations
12.
Garrigan, Patrick, Charles P. Ratliff, Jennifer M. Klein, et al.. (2010). Design of a Trichromatic Cone Array. PLoS Computational Biology. 6(2). e1000677–e1000677. 24 indexed citations
13.
Backus, Benjamin T., et al.. (2010). Positive and negative contingent aftereffects. Journal of Vision. 6(6). 693–693. 1 indexed citations
14.
Kellman, Philip J., Patrick Garrigan, Donald Kalar, & Thomas F. Shipley. (2010). Good continuation and relatability: Related but distinct principles. Journal of Vision. 3(9). 120–120. 3 indexed citations
15.
Garrigan, Patrick, et al.. (2010). Learning to Recognize 2D contour shapes. Journal of Vision. 9(8). 892–892. 1 indexed citations
16.
Kalar, Donald, Patrick Garrigan, Thomas D. Wickens, James Hilger, & Philip J. Kellman. (2009). A unified model of illusory and occluded contour interpolation. Vision Research. 50(3). 284–299. 22 indexed citations
17.
Kellman, Philip J. & Patrick Garrigan. (2008). Perceptual learning and human expertise. Physics of Life Reviews. 6(2). 53–84. 124 indexed citations
18.
Kellman, Philip J., Patrick Garrigan, Thomas F. Shipley, & Brian P. Keane. (2007). Postscript: Identity and constraints in models of object formation.. Psychological Review. 114(2). 502–508. 5 indexed citations
19.
Kellman, Philip J., Patrick Garrigan, & Thomas F. Shipley. (2005). Object Interpolation in Three Dimensions.. Psychological Review. 112(3). 586–609. 53 indexed citations
20.
Kellman, Philip J., Patrick Garrigan, Thomas F. Shipley, Carol Yin, & Liana Machado. (2005). 3-D Interpolation in Object Perception: Evidence From an Objective Performance Paradigm.. Journal of Experimental Psychology Human Perception & Performance. 31(3). 558–583. 17 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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