LabCompass

Robert M. Nosofsky

Psychology · Indiana University

Publications

203

Citations

17,824

Est. group size

Recurring co-author estimate

Active years

45

Publishing since 1982

Research summary
AI-generated

Robert M. Nosofsky studies how people (and sometimes animals like pigeons) learn to categorize objects and recognize whether they have seen something before. His work builds and tests mathematical models of the mind"s categorization and memory processes, often using multidimensional-scaling methods to map how similar different images or objects appear to observers. Recent projects extend these models to real-world, high-dimensional categories such as natural objects and rock samples, and include applications to teaching.

Categorization and concept learningFormal cognitive models (exemplar and prototype)Recognition memory and memorabilityMultidimensional scaling of perceived similarityComparative and applied learning (pigeons, geoscience teaching)

After a slower period around 2020-2021, publication activity has increased notably, peaking in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 9 publications172018: 8 publications182019: 7 publications192020: 2 publications202021: 2 publications212022: 3 publications222023: 5 publications232024: 5 publications242025: 11 publications11252026: 3 publications26
Recent publications
Publishes in
  • Journal of Experimental Psychology Learning Memory and Cognition×6
  • Psychonomic Bulletin & Review×4
  • Behavior Research Methods×3
  • Computational Brain & Behavior×3
  • Memory & Cognition×3

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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