The Prague Journal of English Studies is an annual peer-reviewed academic journal that invites both international and Czech contributions and aims to be a forum for scholars working in the fields of literary studies and linguistics concerning the English-speaking world. We seek submissions of articles on English, American and other English written literatures ranging from Chaucer to the present that reflect the wide spectrum of current critical and theoretical approaches. Cultural studies articles relevant to English language and literature are also welcome. The linguistics section of the journal is also receptive to a variety of perspectives in linguistic theory and linguistic description of English, with special attention given to corpus linguistics, stylistics, text and discourse analysis.
The journal will also publish special, thematic issues, assuring in-depth coverage of selected topics. It was founded in September 2011, the first issue was released in June 2012. It is published by Charles University, Prague – Faculty of Education (Karolinum Publishing House). The online version is available on De Gruyter open access platform (
degruyter.com) and is also listed in the Directory of Open Access Journals (
DOAJ). The journal is enlisted in
ERIH Plus and
Central & Eastern European Academic Source (CEEAS) databases. The journal does not have article processing charges (APCs) nor article submission charges.
Rejection Rate: 30-40 %
ISSN: 1804-8722 (Print)
ISSN: 2336-2685 (Online)
Czech Ministry of Culture Registration Number: MK ČR E 19664
Similarity Check Plagiarism Screening System
The editorial board is participating in a growing community of Similarity Check System’s users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.
Detailed description of the Similarity Check System can be found at:
www.crossref.org/services/similarity-check/