Corpus Analysis

Corpus Analysis is a computational-empirical method in digital humanities and text analytics that systematically investigates large, machine-readable collections of texts (corpora) to identify, quantify, and interpret patterns of linguistic, discursive, or semantic usage in relation to specific research questions.

6.5K

Publications

466.1K

Citations

12.4K

Authors

2.7K

Institutions

Publications per year

2017–2026

1.8K

Authors

12.4K

  1. DB
    Douglas Biber

    Northern Arizona University, United States

    35 publications · 4.8K citations

    28

    h-index

  2. TM
    Tony McEnery

    Lancaster University, United Kingdom

    29 publications · 4.4K citations

    23

    h-index

  3. PR
    Paul Rayson

    Lancaster University, United Kingdom

    35 publications · 3K citations

    23

    h-index

  4. MP
    Massimo Poesio

    University of Essex, United Kingdom

    27 publications · 3.2K citations

    21

    h-index

  5. SΤ
    Stefan Τh. Gries

    University of California, Santa Barbara, United States

    24 publications · 3.6K citations

    21

    h-index

1–5 of 12.4K

Venues

  1. International Journal of Corpus Linguistics

    IJCL · 133 publications · 11.6K citations

    52

    h-index

  2. arXiv (Cornell University)

    Repository · 157 publications · 7.3K citations

    40

    h-index

  3. Corpora

    71 publications · 5K citations

    39

    h-index

  4. Computational Linguistics

    45 publications · 8.5K citations

    34

    h-index

  5. English for Specific Purposes

    40 publications · 4.2K citations

    32

    h-index

1–5