LabCompass

Peter Sayer

Social Sciences · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2006
Multilingual Education and PolicySecond Language Learning and TeachingEFL/ESL Teaching and LearningLinguistic Variation and MorphologyLanguage, Discourse, Communication Strategies

Publications

66

Citations

1,334

Est. group size

—

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Peter Sayer studies how English is taught and learned in multilingual and multicultural settings, with particular attention to Spanish-English bilingualism in the United States. His work examines language policy, social class, and 'translanguaging' (the practice of moving fluidly between languages) in schools, teacher education, and communities. Much of his research uses ethnographic and linguistic-landscape methods, which involve observing everyday language use and signage in specific settings to understand broader social patterns.

Multilingual and bilingual educationLanguage policy and ideologyTESOL (Teaching English to Speakers of Other Languages)Translanguaging and linguistic landscapesSocial class and language learning

Publication output has fluctuated over the last decade, with a peak in 2020, a dip between 2021 and 2024, and a rebound in 2025, averaging about 2.6 publications per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
2017: 3 publications172018: 3 publications182019: 5 publications192020: 10 publications10202021: 3 publications212022: 1 publication222023: 2 publications232024: 2 publications242025: 6 publications252026: 2 publications26
Recent publications
Publishes in
  • Educational linguistics×5
  • System×2
  • TESOL Journal×2
  • Education Policy Analysis Archives×2
  • TESOL Quarterly×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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