LabCompass

John K. Kruschke

Psychology · Indiana University

Publications

183

Citations

17,232

Est. group size

Recurring co-author estimate

Active years

38

Publishing since 1989

Research summary
AI-generated

John K. Kruschke conducts research in psychology, focusing on how people and animals learn to form categories and associations, and on statistical methods for analyzing psychological data. A major strand of his work develops and promotes Bayesian statistics (a framework for reasoning about uncertainty and updating beliefs from data) and computational models of learning and attention. He also studies applied topics such as how people judge use of force and how uncertainty is communicated visually.

Associative and category learningBayesian statistical methodsConnectionist (neural network) models of attentionData analysis and reporting guidelinesApplied social judgment and perception

Publication output has slowed over the last decade, declining from about ten papers per year in 2017 to an average of under two per year in the most recent five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 10 publications10172018: 8 publications182019: 6 publications192020: 2 publications202021: 2 publications212022: 5 publications22232024: 3 publications24252026: 1 publication26
Recent publications
Publishes in
  • OSF Preprints (OSF Preprints)×6
  • Psychonomic Bulletin & Review×3
  • Advances in Methods and Practices in Psychological Science×1
  • Journal of Experimental Social Psychology×1
  • Nature Human Behaviour×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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