Clone Detection

Clone Detection is a software analysis technique that identifies duplicated or near-duplicated code fragments within a codebase, distinguishing itself by enabling the assessment and improvement of software quality through the recognition of redundant code for refactoring and reuse.

872

Publications

54K

Citations

2.1K

Authors

746

Institutions

Publications per year

2017–2026

236

Authors

2.1K

  1. CK
    Chanchal K. Roy

    University of Saskatchewan, Canada

    68 publications · 6.2K citations

    33

    h-index

  2. RK
    Rainer Koschke

    University of Bremen, Germany

    24 publications · 3.4K citations

    20

    h-index

  3. JR
    James R. Cordy

    Queen's University, Canada

    33 publications · 3.6K citations

    18

    h-index

  4. YH
    Yoshiki Higo

    The University of Osaka, Japan

    24 publications · 919 citations

    17

    h-index

  5. KA
    Kevin A. Schneider

    University of Saskatchewan, Canada

    23 publications · 717 citations

    17

    h-index

1–5 of 2.1K

Venues

  1. Applied and Environmental Microbiology

    AEM · 29 publications · 3.8K citations

    28

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 18 publications · 3.7K citations

    18

    h-index

  3. Empirical Software Engineering

    12 publications · 1.2K citations

    12

    h-index

  4. IEEE Access

    13 publications · 320 citations

    11

    h-index

  5. FEMS Microbiology Ecology

    11 publications · 1.1K citations

    11

    h-index

1–5