Source Code Plagiarism Detection

Source Code Plagiarism Detection is a computational method within academic integrity detection that identifies unauthorized copying or imitation of source code by comparing syntactic, semantic, or structural similarities between program artifacts to distinguish deliberate replication from independent development.

319

Publications

15.5K

Citations

646

Authors

299

Institutions

Publications per year

2017–2026

95

Variants

Source Code Plagiarism Analysis

Authors

646

  1. MJ
    Mike Joy

    University of Warwick, United Kingdom

    16 publications · 1.4K citations

    14

    h-index

  2. OK
    Oscar Karnalim

    Maranatha Christian University, Indonesia

    13 publications · 287 citations

    13

    h-index

  3. GC
    Georgina Cosma

    Nottingham Trent University, United Kingdom

    11 publications · 613 citations

    11

    h-index

  4. SZ
    Sencun Zhu

    Pennsylvania State University, United States

    6 publications · 482 citations

    6

    h-index

  5. DW
    Dinghao Wu

    Pennsylvania State University, United States

    6 publications · 482 citations

    6

    h-index

1–5 of 646

Venues

  1. ACM SIGCSE Bulletin

    11 publications · 551 citations

    10

    h-index

  2. IEEE Transactions on Education

    6 publications · 635 citations

    6

    h-index

  3. IEEE Access

    5 publications · 376 citations

    5

    h-index

  4. Journal of Academic Ethics

    5 publications · 201 citations

    5

    h-index

  5. The Computer Journal

    4 publications · 316 citations

    4

    h-index

1–5