Duplicate Submission Detection

Duplicate Submission Detection is a computational method designed to identify instances where a student submits the same or substantially similar academic work across multiple assignments or courses, thereby distinguishing it from general plagiarism detection by focusing specifically on repeated submissions of identical or paraphrased content by the same author.

32

Publications

1.4K

Citations

74

Authors

43

Institutions

Publications per year

2017–2026

9

Authors

74

  1. BM
    Brenda M. Stoesz

    University of Manitoba, Canada

    1 publications · 38 citations

    1

    h-index

  2. VM
    Vani Mandava

    University of Washington, United States

    1 publications · 41 citations

    1

    h-index

  3. AR
    Aamir Raoof Memon

    Shaheed Benazir Bhutto Women University Peshawar, Pakistan

    1 publications · 38 citations

    1

    h-index

  4. JL
    Joanne L. Badge

    University of Leicester, United Kingdom

    1 publications · 25 citations

    1

    h-index

  5. SB
    Senjuti Basu Roy

    The University of Texas at Arlington, United States

    1 publications · 41 citations

    1

    h-index

1–5 of 74

Venues

  1. IEEE Transactions on Education

    2 publications · 329 citations

    2

    h-index

  2. 2

    h-index

  3. Journal of Teaching in Travel & Tourism

    JTTT · 1 publications · 28 citations

    1

    h-index

  4. Journal of Criminal Justice Education

    JCJE · 1 publications · 11 citations

    1

    h-index

  5. Nursing Standard

    1 publications · 12 citations

    1

    h-index

1–5