LabCompass

Lindsey Reymore

Neuroscience · The Ohio State University

Mid career · publishing since 2014

Publications

26

Citations

160

Est. group size

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Lindsey Reymore studies timbre, the quality of a musical sound that lets listeners distinguish, for example, an oboe from a violin even when playing the same note. Their work combines psychology, computational modeling, and music theory to understand how people perceive and describe instrument sounds, including specialized topics like absolute pitch abilities specific to certain instruments among expert musicians. This research blends music perception science with data-driven analysis of audio recordings and musical corpora.

Timbre perception and semanticsMusic cognition and psychoacousticsInstrument-specific absolute pitchComputational and corpus-based music analysisInterdisciplinary music theory

Publication output has grown from roughly one paper per year in the late 2010s to a steadier pace of about 3 publications per year over the last five years, with some year-to-year fluctuation.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.0/year recently
172018: 1 publication182019: 1 publication192020: 3 publications202021: 5 publications5212022: 1 publication222023: 5 publications5232024: 3 publications242025: 2 publications252026: 4 publications26
Recent publications
Publishes in
  • Frontiers in Psychology×3
  • PLoS ONE×2
  • Music Theory Online×2
  • HAL (Le Centre pour la Communication Scientifique Directe)×2
  • arXiv (Cornell University)×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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