Music Pattern Discovery

Music Pattern Discovery is the systematic identification of recurring structural, temporal, or symbolic elements within musical data through computational analysis, distinguished from related methods by its focus on extracting musically meaningful and statistically significant patterns without prior annotation.

117

Publications

4K

Citations

225

Authors

104

Institutions

Publications per year

2017–2026

19

Authors

225

  1. GW
    Gerhard Widmer

    Johannes Kepler University of Linz, Austria

    9 publications · 462 citations

    9

    h-index

  2. DC
    Darrell Conklin

    University of the Basque Country, Spain

    9 publications · 327 citations

    9

    h-index

  3. DM
    David Meredith

    Aalborg University, Denmark

    6 publications · 361 citations

    6

    h-index

  4. OL
    Olivier Lartillot

    University of Jyväskylä, Finland

    5 publications · 125 citations

    5

    h-index

  5. SD
    Simon Dixon

    Queen Mary University of London, United Kingdom

    4 publications · 184 citations

    4

    h-index

1–5 of 225

Venues

  1. Journal of New Music Research

    11 publications · 623 citations

    11

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 8 publications · 214 citations

    8

    h-index

  3. Multimedia Tools and Applications

    5 publications · 100 citations

    5

    h-index

  4. Computer Music Journal

    4 publications · 120 citations

    4

    h-index

  5. International Symposium/Conference on Music Information Retrieval

    Conference · 2 publications · 62 citations

    2

    h-index

1–5