2026 John K. Kruschke: Psychology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Psychology	46	6274	5835	3391	3075	105	20249

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Psychology

6274

5835

3391

3075

105

20249

Research.com Recognitions

2002 - Troland Research Awards, United States National Academy of Sciences For deep insights and empirical evaluations concerning concept formation and attention in learning and rigorous formalization of the underlying psychological principles in connectionist frameworks.

Overview

John K. Kruschke is affiliated with Indiana University in the United States. Their academic work spans multiple fields including Computer Science and Social Sciences, with particular emphasis on subfields such as Artificial Intelligence, Sociology and Political Science, Literature and Literary Theory, and Statistics and Probability.

The scientist's research covers several main topics including Topic Modeling, Media Influence and Health, Misinformation and Its Impacts, Data Analysis with R, Statistical Methods and Bayesian Inference, Meta-analysis and Systematic Reviews, as well as Artificial Intelligence in Games.

Their recent publications include the following papers:

Bayesian Analysis Reporting Guidelines, 2021, Nature Human Behaviour
Humans create more novelty than ChatGPT when asked to retell a story, 2024, Scientific Reports
Serial reproduction of narratives preserves emotional appraisals, 2022, Cognition & Emotion
Reactance to Persuasive Messages Depends on Felt Obligation, 2024, Communication Research
An Intervention for Increasing Intention to Post Online Customer Reviews, 2024, Journal of Interactive Marketing

The scientist collaborates frequently with several coauthors, including:

Fritz Breithaupt
Seungjoo Yang
Ege Otenen
D Wright
Ying Li

Publication venues where their work often appears include:

Nature Human Behaviour
Scientific Reports
Cognition & Emotion
Communication Research
Journal of Interactive Marketing

John K. Kruschke was awarded the Troland Research Awards by the United States National Academy of Sciences in 2002 for research contributing to concept formation, attention in learning, and the formalization of psychological principles within connectionist frameworks.

Best Publications

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

John K. Kruschke

2584
Citations
ALCOVE: an exemplar-based connectionist model of category learning.

John K. Kruschke

2531
Citations
Bayesian Estimation Supersedes the t Test

John K. Kruschke

1718
Citations
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective

John K. Kruschke;Torrin M. Liddell

1407
Citations
Rules and exemplars in category learning.

Michael A. Erickson;John K. Kruschke

870
Citations
Rejecting or Accepting Parameter Values in Bayesian Estimation

John K. Kruschke

703
Citations
Analyzing ordinal data with metric models: What could possibly go wrong?

Torrin M. Liddell;John K. Kruschke

681
Citations
Doing Bayesian Data Analysis: A Tutorial with R and BUGS

John K. Kruschke

652
Citations
Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison

John K. Kruschke

563
Citations
The Time Has Come Bayesian Methods for Data Analysis in the Organizational Sciences

John K. Kruschke;Herman Aguinis;Harry Joo

532
Citations
Bayesian data analysis for newcomers

John K. Kruschke;Torrin M. Liddell

461
Citations
Doing Bayesian Data Analysis

John K. Kruschke

455
Citations
Combining exemplar-based category representations and connectionist learning rules.

Robert M. Nosofsky;John K. Kruschke;Stephen C. McKinley

423
Citations
What to believe: Bayesian methods for data analysis

John K. Kruschke

422
Citations
Toward a unified model of attention in associative learning

John K. Kruschke

422
Citations
Bayesian data analysis.

John K. Kruschke

341
Citations
A model of probabilistic category learning.

John K. Kruschke;Mark K. Johansen

324
Citations
Blocking and backward blocking involve learned inattention

John K. Kruschke;Nathaniel J. Blair

292
Citations
Base rates in category learning.

John K. Kruschke

254
Citations
Attention in Learning

John K. Kruschke

251
Citations

Frequent Co-Authors

Richard M. McFall Indiana University

Richard J. Viken Indiana University

Robert M. Nosofsky Indiana University

William P. Hetrick Indiana University

Peter M. Todd Indiana University

Jerome R. Busemeyer Indiana University

Steven J. Sherman Indiana University

Justin R. Garcia Indiana University

Jeffrey W. Sherman University of California, Davis

Antoine Bechara University of Southern California

External Links

Wikipedia of John K. Kruschke Personal website of John K. Kruschke

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