International Journal of Learner Corpus Research
Published by John Benjamins Publishing Company (Journal Finder)
ISSN : 2215-1478 eISSN : 2215-1486
Abbreviation : Int. J. Learn. Corpus Res.
Aims & Scope
The International Journal of Learner Corpus Research (IJLCR) is a forum for researchers who collect, annotate, and analyse computer learner corpora and/or use them to investigate topics in Second Language Acquisition and linguistic theory in general, inform foreign language teaching, develop learner-corpus-informed tools (e.g. courseware, proficiency tests, dictionaries and grammars) or conduct natural language processing tasks (e.g. annotation, automatic spell- and grammar-checking, L1 identification).
IJLCR aims to highlight the multidisciplinary and broad scope of practice that characterizes the field and publishes original research covering methodological, theoretical and applied work in any area of learner corpus research.
IJLCR features research articles, review articles, replication studies, corpus reports, materials & methods reports, software reports, shared task reports, position papers and reviews of books, corpora and software tools.
The language of the journal is English.
The journal will occasionally publish special issues (for details please contact the general editors).
All contributions are peer-reviewed.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 2.2 |
| 2024 | 1.10 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.732 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 16 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 7654 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 65 |
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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Quantitative research methods and study quality in learner corpus research
Citation: 74
Authors: Magali, Luke
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The importance of task variability in the design of learner corpora for SLA research
Citation: 47
Authors: Nicole, Florence
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Exploring big educational learner corpora for SLA research
Citation: 31
Authors: Theodora, Jeroen, Anna, Detmar
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A phrase-frame approach to investigating phraseology in learner writing across proficiency levels
Citation: 30
Authors: James R.
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Exploring the longitudinal development of grammatical complexity in the disciplinary writing of L2-English university students
Citation: 29
Authors: Douglas, Randi, Shelley, Jesse