Jonathan C. Corbin

719 total citations
27 papers, 449 citations indexed

About

Jonathan C. Corbin is a scholar working on Cognitive Neuroscience, General Decision Sciences and Sociology and Political Science. According to data from OpenAlex, Jonathan C. Corbin has authored 27 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in General Decision Sciences and 7 papers in Sociology and Political Science. Recurrent topics in Jonathan C. Corbin's work include Decision-Making and Behavioral Economics (8 papers), Face Recognition and Perception (4 papers) and Psychology of Moral and Emotional Judgment (4 papers). Jonathan C. Corbin is often cited by papers focused on Decision-Making and Behavioral Economics (8 papers), Face Recognition and Perception (4 papers) and Psychology of Moral and Emotional Judgment (4 papers). Jonathan C. Corbin collaborates with scholars based in United States, Bulgaria and United Kingdom. Jonathan C. Corbin's co-authors include Valerie F. Reyna, Charles J. Brainerd, Christina F. Chick, Rebecca B. Weldon, Dan M. Kahan, L. Elizabeth Crawford, Todd McElroy, David Landy, Valerie P. Hans and J. Edward Russo and has published in prestigious journals such as Scientific Reports, Psychological Science and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Jonathan C. Corbin

25 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan C. Corbin United States 10 171 119 106 79 68 27 449
Diana L. Young United States 7 208 1.2× 74 0.6× 67 0.6× 98 1.2× 170 2.5× 9 550
Bence Pálfi United Kingdom 10 127 0.7× 76 0.6× 55 0.5× 85 1.1× 71 1.0× 22 496
Sarah Furlan Italy 6 71 0.4× 109 0.9× 60 0.6× 46 0.6× 53 0.8× 11 326
Ryan Best United States 10 89 0.5× 69 0.6× 55 0.5× 107 1.4× 86 1.3× 19 524
Dan Lehman United States 5 74 0.4× 64 0.5× 69 0.7× 22 0.3× 26 0.4× 5 362
Timothy Ballard Australia 13 111 0.6× 56 0.5× 100 0.9× 133 1.7× 96 1.4× 39 474
Hilde Elisabeth Maria Augusteijn Netherlands 4 76 0.4× 18 0.2× 66 0.6× 58 0.7× 92 1.4× 5 466
Rebecca M. Pliske United States 9 62 0.4× 53 0.4× 42 0.4× 109 1.4× 58 0.9× 16 339
Kinneret Teodorescu Israel 8 68 0.4× 124 1.0× 41 0.4× 22 0.3× 23 0.3× 20 272
Brian R. Taylor India 5 55 0.3× 70 0.6× 69 0.7× 67 0.8× 28 0.4× 9 237

Countries citing papers authored by Jonathan C. Corbin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Corbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Corbin. 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 Jonathan C. Corbin. The network helps show where Jonathan C. Corbin may publish in the future.

Co-authorship network of co-authors of Jonathan C. Corbin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Corbin. A scholar is included among the top collaborators of Jonathan C. Corbin 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 Jonathan C. Corbin. Jonathan C. Corbin 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.
Roozenbeek, Jon, Rebecca Rayburn-Reeves, Melisa Basol, et al.. (2025). Psychological inoculation improves resilience to and reduces willingness to share vaccine misinformation. Scientific Reports. 15(1). 29830–29830.
3.
Crawford, L. Elizabeth, Jonathan C. Corbin, & David Landy. (2018). Prior experience informs ensemble encoding. Psychonomic Bulletin & Review. 26(3). 993–1000. 10 indexed citations
4.
Landy, David, L. Elizabeth Crawford, & Jonathan C. Corbin. (2017). A Hierarchical Bayesian Model of Individual Differences in Memory for Emotional Expressions.. Cognitive Science. 1 indexed citations
5.
Corbin, Jonathan C., et al.. (2017). Misremembering emotion: Inductive category effects for complex emotional stimuli. Memory & Cognition. 45(5). 691–698. 9 indexed citations
6.
Reyna, Valerie F., Jonathan C. Corbin, Rebecca B. Weldon, & Charles J. Brainerd. (2016). How fuzzy-trace theory predicts true and false memories for words, sentences, and narratives.. Journal of Applied Research in Memory and Cognition. 5(1). 1–9. 91 indexed citations
7.
Russo, J. Edward & Jonathan C. Corbin. (2016). Not by desire alone: The role of cognitive consistency in the desirability bias. Judgment and Decision Making. 11(5). 449–459. 8 indexed citations
8.
Corbin, Jonathan C., Valerie F. Reyna, Rebecca B. Weldon, & Charles J. Brainerd. (2015). How reasoning, judgment, and decision making are colored by gist-based intuition: A fuzzy-trace theory approach.. Journal of Applied Research in Memory and Cognition. 4(4). 344–355. 47 indexed citations
9.
Reyna, Valerie F., et al.. (2015). The gist of juries: Testing a model of damage award decision making.. Psychology Public Policy and Law. 21(3). 280–294. 23 indexed citations
10.
Reyna, Valerie F., et al.. (2015). Gist Representations and Communication of Risks about HIV-AIDS: A Fuzzy-Trace Theory Approach. Current HIV Research. 13(5). 399–407. 3 indexed citations
11.
Chick, Christina F., Valerie F. Reyna, & Jonathan C. Corbin. (2015). Framing effects are robust to linguistic disambiguation: A critical test of contemporary theory.. Journal of Experimental Psychology Learning Memory and Cognition. 42(2). 238–256. 29 indexed citations
12.
Corbin, Jonathan C., et al.. (2014). Gist memory in reasoning and decision making: Age, experience and expertise. 107–123. 3 indexed citations
13.
Reyna, Valerie F., et al.. (2013). Developmental Reversals in Risky Decision Making. Psychological Science. 25(1). 76–84. 103 indexed citations
14.
Corbin, Jonathan C., et al.. (2010). Memory reflected in our decisions: Higher working memory capacity predicts greater bias in risky choice. Judgment and Decision Making. 5(2). 110–115. 21 indexed citations
15.
Corbin, Jonathan C., et al.. (1987). [Voluntary poisoning by ingestion of formalin].. PubMed. 35(8). 649–51. 3 indexed citations
16.
Couturier, M., et al.. (1986). Tamponnade et alimentation parentérale totale sur cathéter veineux central. Annales Françaises d Anesthésie et de Réanimation. 5(2). 165–167. 3 indexed citations
17.
Corbin, Jonathan C., et al.. (1981). PERFORMANCE-BASED TRACK-QUALITY MEASURES AND THEIR APPLICATION TO MAINTENANCE-OF-WAY PLANNING. Transportation Research Record Journal of the Transportation Research Board. 5 indexed citations
18.
Corbin, Jonathan C., et al.. (1980). Statistical Representations of Track Geometry : Volume I, Text.. Rosa P: A digital library for transportation research (United States Department of Transportation). 1 indexed citations
19.
Corbin, Jonathan C., et al.. (1975). CLASSIFYING TRACK BY POWER SPECTRAL DENSITY. 14 indexed citations
20.
Corbin, Jonathan C., et al.. (1973). APPLICATION OF GUIDEWAY ROUGHNESS POWER SPECTRAL DENSITY AS A MANAGEMENT TOOL. 1 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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