John R. Vokey

1.8k total citations
50 papers, 1.4k citations indexed

About

John R. Vokey is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, John R. Vokey has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 11 papers in Artificial Intelligence and 9 papers in Social Psychology. Recurrent topics in John R. Vokey's work include Face Recognition and Perception (9 papers), Memory Processes and Influences (7 papers) and Topic Modeling (6 papers). John R. Vokey is often cited by papers focused on Face Recognition and Perception (9 papers), Memory Processes and Influences (7 papers) and Topic Modeling (6 papers). John R. Vokey collaborates with scholars based in Canada, United Kingdom and United States. John R. Vokey's co-authors include Lee R. Brooks, J. Don Read, Philip A. Higham, Drew Rendall, A. Mike Burton, Richard Hammersley, Jason M. Tangen, Randall K. Jamieson, Larry L. Jacoby and John G. Baker and has published in prestigious journals such as American Psychologist, Psychological Science and The Journal of the Acoustical Society of America.

In The Last Decade

John R. Vokey

49 papers receiving 1.3k citations

Peers

John R. Vokey

DEP

ECP

Gert Westermann United Kingdom

Jonathan A. Slemmer United States

Ansgar D. Endress United States

Robert L. Goldstone United States

John Paul Minda Canada

Bruno Galantucci United States

Jessica F. Cantlon United States

J. David Smith United States

Judith Holler Netherlands

Edward H. Matthei United States

Gert Westermann United Kingdom

John R. Vokey

646 ×0.8

934 ×1.8

DEP

430 ×1.2

ECP

297 ×0.9

184 ×0.7

Citations per year, relative to John R. Vokey John R. Vokey (= 1×) peers Gert Westermann

Countries citing papers authored by John R. Vokey

Since Specialization

Citations

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

Fields of papers citing papers by John R. Vokey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Vokey. 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 John R. Vokey. The network helps show where John R. Vokey may publish in the future.

Co-authorship network of co-authors of John R. Vokey

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

All Works

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20 of 20 papers shown

Jamieson, Randall K., Brendan T. Johns, John R. Vokey, & Michael N. Jones. (2022). Instance theory as a domain-general framework for cognitive psychology. Nature Reviews Psychology. 1(3). 174–183. 23 indexed citations

Searston, Rachel A, et al.. (2019). How low can you go? Detecting style in extremely low resolution images.. Journal of Experimental Psychology Human Perception & Performance. 45(5). 573–584. 2 indexed citations

Williams, Robert J., et al.. (2019). Implicit Memory Associations and Gambling. Journal of Gambling Studies. 35(4). 1397–1406. 2 indexed citations

Searston, Rachel A., et al.. (2018). Stimuli: Paintings, Birds, and Faces. OSF Preprints (OSF Preprints).

Vokey, John R.. (2016). Single-step simple ROC curve fitting via PCA.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 70(4). 301–305. 5 indexed citations

Jamieson, Randall K., John R. Vokey, & D. J. K. Mewhort. (2015). Implicit learning is order dependent. Psychological Research. 81(1). 204–218. 6 indexed citations

VanderLaan, Doug P., John R. Vokey, & Paul L. Vasey. (2012). Is Transgendered Male Androphilia Familial in Non-Western Populations? The Case of a Samoan Village. Archives of Sexual Behavior. 42(3). 361–370. 15 indexed citations

Rendall, Drew, et al.. (2007). Lifting the curtain on the Wizard of Oz: Biased voice-based impressions of speaker size.. Journal of Experimental Psychology Human Perception & Performance. 33(5). 1208–1219. 93 indexed citations

Siegel, David M., Simon A. Cole, David L. Faigman, et al.. (2006). The Reliability of Latent Print Individualization: Brief of Amici Curiae Submitted on Behalf of Scientists and Scholars by the New England Innocence Project, Commonwealth v. Patterson. SSRN Electronic Journal. 2 indexed citations

10.

Vokey, John R. & Philip A. Higham. (2005). Abstract analogies and positive transfer in artificial grammar learning.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 59(1). 54–61. 19 indexed citations

11.

Vokey, John R., Drew Rendall, Jason M. Tangen, Lisa A. Parr, & Frans Β. Μ. de Waal. (2004). Visual Kin Recognition and Family Resemblance in Chimpanzees (Pan troglodytes).. Journal of comparative psychology. 118(2). 194–199. 32 indexed citations

12.

Vokey, John R. & Philip A. Higham. (2004). Opposition logic and neural network models in artificial grammar learning. Consciousness and Cognition. 13(3). 565–578. 15 indexed citations

13.

Vokey, John R.. (2003). Multiway frequency analysis for experimental psychologists.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 57(3). 257–264. 20 indexed citations

14.

Higham, Philip A., et al.. (2000). Beyond dissociation logic: Evidence for controlled and automatic influences in artificial grammar learning.. Journal of Experimental Psychology General. 129(4). 457–470. 36 indexed citations

15.

Higham, Philip A. & John R. Vokey. (2000). Judgment heuristics and recognition memory: Prime identification and target-processing fluency. Memory & Cognition. 28(4). 574–584. 25 indexed citations

16.

Vokey, John R. & Philip A. Higham. (1999). Implicit knowledge as automatic, latent knowledge. Behavioral and Brain Sciences. 22(5). 787–788. 11 indexed citations

17.

Vokey, John R.. (1997). Collapsing multiway contingency tables: Simpson’s paradox and homogenization. Behavior Research Methods, Instruments, & Computers. 29(2). 210–215. 6 indexed citations

18.

Vokey, John R. & Lee R. Brooks. (1994). Fragmentary knowledge and the processing-specific control of structural sensitivity.. Journal of Experimental Psychology Learning Memory and Cognition. 20(6). 1504–1510. 26 indexed citations

19.

Vokey, John R. & Lee R. Brooks. (1992). Salience of item knowledge in learning artificial grammars.. Journal of Experimental Psychology Learning Memory and Cognition. 18(2). 328–344. 236 indexed citations

20.

Read, J. Don, John R. Vokey, & Richard Hammersley. (1990). Changing photos of faces: Effects of exposure duration and photo similarity on recognition and the accuracy-confidence relationship.. Journal of Experimental Psychology Learning Memory and Cognition. 16(5). 870–882. 44 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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