Chris Donkin

4.4k total citations
79 papers, 2.4k citations indexed

About

Chris Donkin is a scholar working on Cognitive Neuroscience, General Decision Sciences and Experimental and Cognitive Psychology. According to data from OpenAlex, Chris Donkin has authored 79 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 25 papers in General Decision Sciences and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Chris Donkin's work include Neural and Behavioral Psychology Studies (40 papers), Decision-Making and Behavioral Economics (25 papers) and Visual perception and processing mechanisms (16 papers). Chris Donkin is often cited by papers focused on Neural and Behavioral Psychology Studies (40 papers), Decision-Making and Behavioral Economics (25 papers) and Visual perception and processing mechanisms (16 papers). Chris Donkin collaborates with scholars based in Australia, United States and Germany. Chris Donkin's co-authors include Scott Brown, Andrew Heathcote, Robert M. Nosofsky, Daniel R. Little, Aba Szollosi, Lee Averell, Richard M. Shiffrin, Joachim Vandekerckhove, Ben R. Newell and Don van Ravenzwaaij and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and PLoS ONE.

In The Last Decade

Chris Donkin

76 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Donkin Australia 28 1.6k 597 418 327 292 79 2.4k
Joachim Vandekerckhove United States 33 1.7k 1.1× 949 1.6× 443 1.1× 402 1.2× 259 0.9× 86 3.3k
Brandon M. Turner United States 27 1.3k 0.9× 405 0.7× 637 1.5× 387 1.2× 138 0.5× 77 2.4k
Angela J. Yu United States 22 2.6k 1.7× 619 1.0× 400 1.0× 276 0.8× 229 0.8× 57 3.7k
Wolf Vanpaemel Belgium 25 691 0.4× 701 1.2× 205 0.5× 484 1.5× 379 1.3× 68 2.6k
Donald Laming United Kingdom 27 1.8k 1.1× 552 0.9× 363 0.9× 404 1.2× 378 1.3× 67 3.0k
Elliot A. Ludvig United Kingdom 23 980 0.6× 256 0.4× 454 1.1× 118 0.4× 258 0.9× 76 1.8k
Adam N. Sanborn United Kingdom 18 638 0.4× 399 0.7× 324 0.8× 457 1.4× 298 1.0× 56 1.6k
Matthew J. C. Crump United States 21 1.9k 1.2× 679 1.1× 414 1.0× 226 0.7× 510 1.7× 49 3.0k
Leendert van Maanen Netherlands 26 1.4k 0.9× 286 0.5× 264 0.6× 289 0.9× 299 1.0× 82 1.9k
Falk Lieder United States 20 1.1k 0.7× 415 0.7× 626 1.5× 471 1.4× 278 1.0× 60 2.3k

Countries citing papers authored by Chris Donkin

Since Specialization
Citations

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

Fields of papers citing papers by Chris Donkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Donkin

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Donkin. A scholar is included among the top collaborators of Chris Donkin 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 Chris Donkin. Chris Donkin 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.
Donkin, Chris, et al.. (2025). On-task errors drive effort avoidance more than opportunity costs.. Journal of Experimental Psychology General. 154(7). 1916–1938.
2.
Szollosi, Aba, Chris Donkin, & Ben R. Newell. (2022). Toward nonprobabilistic explanations of learning and decision-making.. Psychological Review. 130(2). 546–568. 8 indexed citations
3.
Szollosi, Aba & Chris Donkin. (2021). Arrested Theory Development: The Misguided Distinction Between Exploratory and Confirmatory Research. Perspectives on Psychological Science. 16(4). 717–724. 49 indexed citations
4.
Szollosi, Aba & Chris Donkin. (2019). Neglected Sources of Flexibility in Psychological Theories: from Replicability to Good Explanations. Computational Brain & Behavior. 2(3-4). 190–192. 12 indexed citations
5.
Szollosi, Aba, et al.. (2019). Simultaneous underweighting and overestimation of rare events: Unpacking a paradox.. Journal of Experimental Psychology General. 148(12). 2207–2217. 23 indexed citations
6.
Oberauer, Klaus, Stephan Lewandowsky, Edward Awh, et al.. (2018). Benchmarks for models of short-term and working memory.. Psychological Bulletin. 144(9). 885–958. 226 indexed citations
7.
Navarro, Danielle, et al.. (2017). When extremists win: On the behavior of iterated learning chains when priors are heterogeneous.. Cognitive Science. 3 indexed citations
8.
Mannion, Damien J., Chris Donkin, & Thomas J. Whitford. (2017). No apparent influence of psychometrically-defined schizotypy on orientation-dependent contextual modulation of visual contrast detection. PeerJ. 5. e2921–e2921. 4 indexed citations
9.
Ravenzwaaij, Don van, Chris Donkin, & Joachim Vandekerckhove. (2016). The EZ diffusion model provides a powerful test of simple empirical effects. Psychonomic Bulletin & Review. 24(2). 547–556. 81 indexed citations
10.
Navarro, Danielle, et al.. (2015). Quantifying the time course of similarity.. Cognitive Science. 2 indexed citations
11.
Donkin, Chris, et al.. (2015). Exploring the Concept of Utility: Are Separate Value Functions required for Risky and Inter-temporal Choice?. Cognitive Science. 3 indexed citations
12.
Donkin, Chris, et al.. (2015). The Exemplar Confusion Model: An Account of Biased Probability Estimates in Decisions from Description.. Cognitive Science. 6 indexed citations
13.
Donkin, Chris, et al.. (2015). Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment. Oxford University Press eBooks. 4 indexed citations
14.
Donkin, Chris, Robert M. Nosofsky, Jason M. Gold, & Richard M. Shiffrin. (2014). Verbal labeling, gradual decay, and sudden death in visual short-term memory. Psychonomic Bulletin & Review. 22(1). 170–178. 39 indexed citations
15.
Donkin, Chris, et al.. (2014). Location-based errors in change detection: A challenge for the slots model of visual working memory. Memory & Cognition. 43(3). 421–431. 15 indexed citations
16.
Donkin, Chris, Ben R. Newell, Michael L. Kalish, John C. Dunn, & Robert M. Nosofsky. (2014). Identifying strategy use in category learning tasks: A case for more diagnostic data and models.. Journal of Experimental Psychology Learning Memory and Cognition. 41(4). 933–948. 28 indexed citations
17.
Donkin, Chris & Richard M. Shiffrin. (2011). Visual Search as a Combination of Automatic and Attentive Processes.. Cognitive Science. 33(33). 6 indexed citations
18.
Dodds, Pennie, Chris Donkin, Scott Brown, & Andrew Heathcote. (2011). Increasing capacity: Practice effects in absolute identification.. Journal of Experimental Psychology Learning Memory and Cognition. 37(2). 477–492. 8 indexed citations
19.
Dodds, Pennie, Chris Donkin, Scott Brown, & Andrew Heathcote. (2010). Multidimensional Scaling Methods for Absolute Identification Data. eCite Digital Repository (University of Tasmania). 32(32). 2804–2809. 2 indexed citations
20.
Donkin, Chris, Andrew Heathcote, Scott Brown, & Sally Andrews. (2009). Non-Decision Time Effects in the Lexical Decision Task. Proceedings of the Annual Meeting of the Cognitive Science Society. 31(31). 12 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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2026