Corpora
Published by Edinburgh University Press
ISSN : 1749-5032 eISSN : 1755-1676
Abbreviation : Corpora
Aims & Scope
Corpora is an international, peer-reviewed journal of corpus linguistics focusing on the many and varied uses of corpora both in linguistics and beyond.
The journal accepts articles presenting research findings based on the exploitation of corpora as well as accounts of corpus building, corpus tool construction and corpus annotation schemes.
The journal has three key features: -Theoretical inclusiveness: the journal will not be wed to one theoretical position.
It will welcome and accommodate the work of a wide range of theorists using corpus data. -Interdisciplinarity: the journal will actively seek to promote a cross fertilization of ideas and techniques across a range of areas (applied linguistics, computational linguistics, corpus linguistics, theoretical linguistics) and disciplines (e.g. cultural studies, historical studies, literary studies) in the belief that these areas have something to offer to each other through their common focus on corpus data. -Multilinguality: the journal will engage with the full range of human languages, not just the English language or major European languages.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.3 |
2024 | 0.80 |
Journal Rank
Year | Value |
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2024 | 15354 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 80 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.342 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 35 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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The most under-used statistical method in corpus linguistics: multi-level (and mixed-effects) models
Citation: 152
Authors: Stefan
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Modern Diachronic Corpus-Assisted Discourse Studies (MD-CADS) on UK newspapers: an overview of the project
Citation: 110
Authors: Alan
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Expanding horizons in historical linguistics with the 400-million word Corpus of Historical American English
Citation: 110
Authors: Mark
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‘What is this corpus about?’: using topic modelling to explore a specialised corpus
Citation: 102
Authors: Akira, Paul, Susan, Dominik
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Cognitive Corpus Linguistics: five points of debate on current theory and methodology
Citation: 89
Authors: Antti, Gaëtanelle, Dylan, Martin, Arne
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Spoken and written register variation in Spanish: A multi-dimensional analysis
Citation: 87
Authors: Douglas, Mark, James K., Nicole
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Investigating the collocational behaviour of<scp>man</scp>and<scp>woman</scp>in the BNC using Sketch Engine
Citation: 84
Authors: Michael
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The identification of stages in diachronic data: variability-based neighbour clustering
Citation: 82
Authors: Stefan, Martin