Computational Music Analysis

Computational Music Analysis is a systematic methodology within computational musicology that employs formal computational techniques to extract, model, and interpret structural, expressive, or contextual features from musical data, distinguishing itself by its focus on algorithmically driven music-theoretic or perceptually informed insights.

135

Publications

5K

Citations

272

Authors

149

Institutions

Publications per year

2017–2026

29

Authors

272

  1. GW
    Gerhard Widmer

    Johannes Kepler University of Linz, Austria

    8 publications · 586 citations

    8

    h-index

  2. DC
    Darrell Conklin

    University of the Basque Country, Spain

    6 publications · 200 citations

    6

    h-index

  3. AV
    Anja Volk

    Utrecht University, Netherlands

    5 publications · 156 citations

    5

    h-index

  4. MM
    Meinard Müller

    Max Planck Institute for Informatics, Germany

    5 publications · 340 citations

    5

    h-index

  5. CS
    Costas S. Iliopoulos

    King's College London, United Kingdom

    5 publications · 154 citations

    5

    h-index

1–5 of 272

Venues

  1. Computer Music Journal

    12 publications · 478 citations

    12

    h-index

  2. Journal of New Music Research

    8 publications · 516 citations

    8

    h-index

  3. Journal of Music Theory

    5 publications · 104 citations

    5

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 4 publications · 53 citations

    4

    h-index

  5. Journal of Mathematics and Music

    4 publications · 78 citations

    4

    h-index

1–5