LabCompass

Jerome R. Busemeyer

Decision Sciences · Indiana University

Established · publishing since 1980Rising activity

Publications

391

Citations

21,231

Est. group size

Recurring co-author estimate

Active years

46

Publishing since 1980

Research summary
AI-generated

Jerome R. Busemeyer studies how people make decisions and judgments, developing mathematical models of human reasoning. A major focus of his recent work is 'quantum cognition,' which borrows the mathematics of quantum theory (not the physics itself) to describe how people judge probabilities, remember, and make choices in ways that classical models struggle to explain. His work spans behavioral economics, cognitive modeling, and the connections between memory, judgment, and decision-making.

Quantum models of cognition and decision-makingHuman probability judgment and reasoning errorsDecision-making and behavioral economicsMathematical and computational modeling of cognitionMemory in judgment and decision processes

Publication activity has been steady at roughly 10-13 papers per year over the past decade, with a notable increase to 22 in 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

No award with a current end date on record.

9 earlier awards
  • NSF 1560554May 2016 – Apr 2020 · $263k awarded

    Collaborate Research: Construct a General Hilbert Space Multi-dimensional Model

  • NIH R01DA030551Apr 2011 – Mar 2015 · $148k awarded

    Model generalization and parameter consistency for cognitive models of decision m

  • NSF 1002188Sep 2010 – Aug 2014 · $137k awarded

    Collaborative Research: Integrating dynamic decision making with neurocontrollers by combining system and cognitive sciences

  • NSF 1153726Sep 2012 – Aug 2014 · $10k awarded

    Collaborative Research: Quantum Decision Theory

  • NSF 0817965Jan 2009 – Dec 2012 · $211k awarded

    Collaborative Research: Quantum Decision Theory

  • NIH R01DA014119Apr 2001 – Mar 2010 · $246k awarded

    Cognitive Modeling of Risky Decisions in Drug Abusers

  • NIH R01MH068346Jul 2004 – Jun 2008 · $199k awarded

    Comparing Models of Function Learning

  • NIH R01MH055680Jul 1996 – Jun 2000 · $105k awarded

    DECISION FIELD THEORY FOR DECISION TREES

  • NSF 9796197Jul 1997 – Jul 1998 · $67k awarded

    Decision Field Theory for Decision Trees

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 86 established Decision Sciences PIs within our index
Citations: 21,231cohort median 1,756
h-index: 70cohort median 20
Publications / year (recent): 10.6cohort median 2.9

Typically publishes in teams of ~3 · 69% small-team papers (≤3 authors) · across 47 venues

Publication cadence
Publications per year over the last 10 years — averaging 10.6/year recently
2017: 13 publications172018: 7 publications182019: 12 publications192020: 11 publications202021: 10 publications212022: 10 publications222023: 9 publications232024: 12 publications242025: 22 publications222526
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 2 collaborators at the same institution2018: 0 collaborators at the same institution2019: 4 collaborators at the same institution2020: 3 collaborators at the same institution2021: 0 collaborators at the same institution2022: 0 collaborators at the same institution2023: 2 collaborators at the same institution2024: 0 collaborators at the same institution2025: 3 collaborators at the same institution1719212325
Publishes in
  • arXiv (Cornell University)×10
  • Decision×5
  • Journal of Mathematical Psychology×3
  • Psychological Review×3
  • Cambridge University Press eBooks×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Sep 1, 2026.

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