LabCompass

Raphael Boleslavsky

Decision Sciences · Indiana University

OpenAlex
Mid career · publishing since 2009Rising activity

Publications

53

Citations

474

Est. group size

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Raphael Boleslavsky studies economic decision-making using mathematical models of strategic behavior, especially situations where people or firms have private information and must decide what to disclose or signal. His work spans competitive advertising and pricing, information design, auctions, and applications to topics like media freedom, corporate finance, and evaluating job candidates. The research is largely theoretical, building formal models to understand how incentives shape outcomes in markets and institutions.

Game theory and strategic behaviorInformation disclosure and signalingAuction and market designPolitical economy and media influenceCorporate finance and governance

Publication activity has been steady over the past decade, averaging around three papers per year with modest year-to-year fluctuation.

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

In context
Among 117 mid career Decision Sciences PIs within our index
Citations: 474cohort median 491
h-index: 9cohort median 9
Publications / year (recent): 2.8cohort median 2.8

Typically publishes in teams of ~3 · 97% small-team papers (≤3 authors) · across 15 venues

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
2017: 6 publications6172018: 1 publication182019: 3 publications192020: 2 publications202021: 5 publications21222023: 5 publications232024: 2 publications242025: 3 publications252026: 4 publications26
Recent publications
Publishes in
  • SSRN Electronic Journal×13
  • arXiv (Cornell University)×4
  • RePEc: Research Papers in Economics×3
  • Journal of Economic Theory×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
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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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