LabCompass

Daniel Levitas

Neuroscience · Indiana University

Publications

13

Citations

178

Est. group size

Recurring co-author estimate

Active years

8

Publishing since 2018

Research summary
AI-generated

Daniel Levitas studies how the brain processes information related to perception, decision-making, and emotion. His work uses brain imaging to examine how people categorize and recognize objects, how emotional or threatening situations shape these decisions, and how social interactions engage reward and reasoning systems in the brain.

Emotion and threat/reward processingObject recognition and categorizationDecision-making and evidence accumulationFunctional brain imaging (MRI)Social cognition and mentalizing

After several quiet years, publication activity increased noticeably from 2023 onward, indicating a recent period of growing output.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
172018: 1 publication181920212022: 1 publication222023: 5 publications5232024: 4 publications242025: 2 publications2526
Publishes in
  • Scientific Data×3
  • Human Brain Mapping×2
  • Nature Methods×2
  • Brain and Behavior×1
  • Neuropsychologia×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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