John K. Kruschke

16.9k total citations · 8 hit papers
89 papers, 10.2k citations indexed

About

John K. Kruschke is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, John K. Kruschke has authored 89 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 32 papers in Developmental and Educational Psychology and 21 papers in Cognitive Neuroscience. Recurrent topics in John K. Kruschke's work include Child and Animal Learning Development (29 papers), Statistical Methods and Bayesian Inference (13 papers) and Memory and Neural Mechanisms (13 papers). John K. Kruschke is often cited by papers focused on Child and Animal Learning Development (29 papers), Statistical Methods and Bayesian Inference (13 papers) and Memory and Neural Mechanisms (13 papers). John K. Kruschke collaborates with scholars based in United States, Australia and United Kingdom. John K. Kruschke's co-authors include Torrin M. Liddell, Michael A. Erickson, Mark K. Johansen, Herman Aguinis, Harry Joo, Robert M. Nosofsky, Stephen C. McKinley, Michael L. Kalish, William P. Hetrick and Javier R. Movellan and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Review and Trends in Cognitive Sciences.

In The Last Decade

John K. Kruschke

86 papers receiving 9.8k citations

Hit Papers

Doing Bayesian Data Analysis:... 1992 2026 2003 2014 2014 1992 2012 2017 2018 400 800 1.2k

Peers

John K. Kruschke
Comparison fields: 5 of 215
  • Cognitive Neuroscience 3.3k
  • Developmental and Educational Psychology 2.7k
  • Artificial Intelligence 1.8k
  • Experimental and Cognitive Psychology 1.8k
  • Social Psychology 1.3k
Replace Gordon D. A. Brown with:
Gordon D. A. Brown United Kingdom
Robert L. Goldstone United States
Michael Lee United States
Earl Hunt United States
Rick Dale United States
James T. Townsend United States
Wayne D. Gray United States
Christoph Scheepers United Kingdom
Han L. J. van der Maas Netherlands
Roger Lévy United States
Gordon D. A. Brown United Kingdom View profile →
Citations per field, relative to John K. Kruschke
John K. Kruschke · 1×
Citations per year, relative to John K. Kruschke
John K. Kruschke · 1×

Countries citing papers authored by John K. Kruschke

Since Specialization
Citations

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

Fields of papers citing papers by John K. Kruschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John K. Kruschke

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Kruschke. A scholar is included among the top collaborators of John K. Kruschke 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 K. Kruschke. John K. Kruschke 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
# Work Indexed citations
1 10
2 1
3
Tutorial: Bayesian data analysis.
1
4 2
5 130
6
The Time Has Come breakdown →
330
7
Tutorial: Doing Bayesian Data Analysis with R and BUGS
6
8
A Cue Imputation Bayesian Model of Information Aggregation
1
9 28
10
Doing Bayesian Data Analysis : A Tutorial Introduction with R and BUGS
44
11 25
12 122
13 2
14 39
15 15
16 136
17 16
18 27
19 117
20
ALCOVE: A Connectionist Model of Human Category Learning
5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026