Textual Reuse Analysis

Textual Reuse Analysis is a computational linguistic method that identifies and examines repeated or reappropriated textual segments across documents to detect potential instances of plagiarism by distinguishing legitimate citation from unattributed copying.

16

Publications

398

Citations

44

Authors

26

Institutions

Publications per year

2017–2026

7

Authors

44

  1. IM
    Iqra Muneer

    COMSATS University Islamabad, Pakistan

    2 publications · 34 citations

    2

    h-index

  2. RM
    Rao Muhammad Adeel Nawab

    COMSATS University Islamabad, Pakistan

    2 publications · 34 citations

    2

    h-index

  3. DA
    David A. Smith

    University of California, Irvine, United States

    2 publications · 67 citations

    2

    h-index

  4. CC
    Christian Collberg

    University of Arizona, United States

    1 publications · 22 citations

    1

    h-index

  5. AN
    Asko Nivala

    University of Turku, Finland

    1 publications · 33 citations

    1

    h-index

1–5 of 44

Venues

  1. Accountability in Research

    1 publications · 18 citations

    1

    h-index

  2. Knowledge@UChicago (University of Chicago)

    Repository · 1 publications · 20 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 55 citations

    1

    h-index

  4. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 47 citations

    1

    h-index

  5. Journal of Indian Philosophy

    1 publications · 15 citations

    1

    h-index

1–5