Chris Donkin

4.4k citations
79 papers · 2.4k indexed · h-index 28

Chris Donkin

76 papers receiving 2.4k citations

Peers

Chris Donkin
Comparison fields: 5 of 128
  • General Decision Sciences 418
  • Cognitive Neuroscience 1.6k
  • Experimental and Cognitive Psychology 597
  • Applied Psychology 131
  • Developmental and Educational Psychology 292
Replace Donald Laming with:
Donald Laming United Kingdom
Brandon M. Turner United States
Joachim Vandekerckhove United States
Danielle Navarro Australia
Wolf Vanpaemel Belgium
Daniel R. Little Australia
Henrik Singmann Germany
Alexander Etz United States
Adam N. Sanborn United Kingdom
Angela J. Yu United States
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Citations per field
00.5×5.7×
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Citations per year

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

The 25 scholars most cited alongside Chris Donkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Donkin Line = papers co-authored together Chris Donkin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20228
4 202149
5 201923
6 201912
7 2018226
8
When extremists win: On the behavior of iterated learning chains when priors are heterogeneous.
20173
9 201681
10
Quantifying the time course of similarity.
20152
11
The Exemplar Confusion Model: An Account of Biased Probability Estimates in Decisions from Description.
20156
12 201415
13 201428
14 201439
15 201383
16 20118
17
Visual Search as a Combination of Automatic and Attentive Processes.
20116
18 20114
19
Multidimensional Scaling Methods for Absolute Identification Data
20102
20
Non-Decision Time Effects in the Lexical Decision Task
200912

About Chris Donkin

Chris Donkin is a scholar working on General Decision Sciences, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (40 papers), Decision-Making and Behavioral Economics (25 papers), Visual perception and processing mechanisms (16 papers), Neural dynamics and brain function (13 papers), Mental Health Research Topics (11 papers), Economic and Environmental Valuation (7 papers), Forecasting Techniques and Applications (7 papers) and Cognitive Science and Mapping (6 papers). The work is most often cited by research in General Decision Sciences (418 citations), Cognitive Neuroscience (1.6k citations) and Experimental and Cognitive Psychology (597 citations). Chris Donkin has collaborated with scholars based in Australia, United States and Germany. Frequent 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. Their work appears in journals such as Psychonomic Bulletin & Review, Journal of Experimental Psychology Learning Memory and Cognition, Cognitive Science, Psychological Review and Cognitive Psychology.

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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