Similarity Checking

Similarity Checking is a computational method used in academic integrity assessment that identifies and quantifies textual overlaps between a submitted document and existing sources to detect potential instances of unoriginal content.

356

Publications

21.6K

Citations

992

Authors

431

Institutions

Publications per year

2017–2026

107

Authors

992

  1. TL
    Thomas Lancaster

    Imperial College London, United Kingdom

    4 publications · 204 citations

    4

    h-index

  2. FC
    Fintan Culwin

    London South Bank University, United Kingdom

    4 publications · 204 citations

    4

    h-index

  3. MA
    Marcos André Gonçalves

    Universidade Federal de Minas Gerais, Brazil

    3 publications · 105 citations

    3

    h-index

  4. HS
    Heinz Schmidt

    RMIT University, Australia

    3 publications · 96 citations

    3

    h-index

  5. KM
    Krisztián Monostori

    Monash University, Australia

    3 publications · 96 citations

    3

    h-index

1–5 of 992

Venues

  1. ACM SIGCSE Bulletin

    5 publications · 227 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 69 citations

    4

    h-index

  3. 3

    h-index

  4. Bioinformatics

    3 publications · 174 citations

    3

    h-index

  5. The Computer Journal

    3 publications · 304 citations

    3

    h-index

1–5