LabCompass

Layla Unger

Psychology · The Ohio State University

Mid career · publishing since 2007

Publications

52

Citations

460

Est. group size

~3

Recurring co-author estimate

Active years

19

Publishing since 2007

Research summary
AI-generated

Layla Unger studies how children learn the meanings of words and organize semantic knowledge, focusing on how everyday language experience and statistical patterns (like which words tend to appear together) shape a child's growing vocabulary and conceptual categories. Her work combines behavioral experiments, analysis of children's books and speech, and computational/statistical modeling to trace how word knowledge develops and becomes interconnected over time.

Child language and vocabulary developmentSemantic knowledge organizationStatistical learning from language inputCategory learning in early childhoodCognitive development methods (behavioral and neural)

Publication output has fluctuated over the last decade with peaks around 2018, 2020, and 2022, but has settled into a steadier, more modest pace of about 4 publications per year in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 3 publications172018: 6 publications182019: 4 publications192020: 8 publications8202021: 4 publications212022: 8 publications8222023: 2 publications232024: 4 publications242025: 4 publications2526
Recent publications
Publishes in
  • eScholarship (California Digital Library)×9
  • Cognitive Science×5
  • Journal of Experimental Child Psychology×3
  • Developmental Science×2
  • Underline Science Inc.×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 Jul 19, 2026.

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