Text Reuse Analysis

Text Reuse Analysis is a computational method in digital textual scholarship that identifies and examines recurring textual content across documents to determine the relationships, influences, or transmission patterns between them.

56

Publications

2.1K

Citations

133

Authors

64

Institutions

Publications per year

2017–2026

21

Authors

133

  1. RM
    Rao Muhammad Adeel Nawab

    COMSATS University Islamabad, Pakistan

    5 publications · 105 citations

    5

    h-index

  2. DA
    David A. Smith

    University of California, Irvine, United States

    5 publications · 295 citations

    5

    h-index

  3. PC
    Paul Clough

    University of Sheffield, United Kingdom

    4 publications · 326 citations

    4

    h-index

  4. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    3 publications · 211 citations

    3

    h-index

  5. PR
    Paolo Rosso

    Universitat Politècnica de València, Spain

    3 publications · 85 citations

    3

    h-index

1–5 of 133

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 121 citations

    2

    h-index

  2. 2

    h-index

  3. Psychological Reports

    2 publications · 51 citations

    2

    h-index

  4. CLEF (Working Notes)

    1 publications · 29 citations

    1

    h-index

  5. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 47 citations

    1

    h-index

1–5