LabCompass

Dan Levin

Decision Sciences · The Ohio State University

OpenAlex ORCID
Established · publishing since 1979Rising activity
Auction Theory and ApplicationsExperimental Behavioral Economics StudiesParticle physics theoretical and experimental studiesConsumer Market Behavior and PricingHigh-Energy Particle Collisions Research

Publications

165

Citations

7,052

Est. group size

—

Recurring co-author estimate

Active years

46

Publishing since 1979

Research summary
AI-generated

Dan Levin's research uses experimental and theoretical methods to study how people make decisions under uncertainty, with a particular focus on auctions and bidding behavior. His work examines topics like ambiguity aversion, bounded rationality (the idea that people have limited cognitive ability to make fully rational choices), and how well game-theoretic models like Nash equilibrium predict real behavior in markets and auctions. This research falls within decision sciences and behavioral/experimental economics.

Auction theory and bidding behaviorExperimental behavioral economicsDecision-making under ambiguity and uncertaintyBounded rationality and mechanism designGame theory (level-k reasoning, Nash equilibrium)

Publication output was relatively low and steady from 2017-2020, then grew sharply from 2021 onward, with a notable surge in 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 9.6/year recently
2017: 4 publications172018: 3 publications182019: 1 publication192020: 2 publications202021: 11 publications212022: 5 publications222023: 33 publications33232024: 10 publications242526
Recent publications
Publishes in
  • DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)×19
  • arXiv (Cornell University)×17
  • Journal of High Energy Physics×6
  • CERN Document Server (European Organization for Nuclear Research)×4
  • American Economic Journal Microeconomics×2
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By research-topic overlap

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 19, 2026.

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