Music Data Structures

Music Data Structures is a computational framework that organizes and represents musical elements such as pitch, rhythm, and harmony in a hierarchical, machine-readable format to facilitate algorithmic processing and analysis in music programming contexts.

66

Publications

3.3K

Citations

160

Authors

58

Institutions

Publications per year

2017–2026

7

Authors

160

  1. ON
    Oriol Nieto

    New York University, United States

    4 publications · 138 citations

    4

    h-index

  2. GH
    Goffredo Haus

    University of Milan, Italy

    3 publications · 87 citations

    3

    h-index

  3. BM
    Brian McFee

    New York University, United States

    3 publications · 163 citations

    3

    h-index

  4. JP
    Juan Pablo Bello

    New York University, United States

    3 publications · 183 citations

    3

    h-index

  5. AR
    Alexander R. Brinkman

    3 publications · 76 citations

    3

    h-index

1–5 of 160

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 7 publications · 235 citations

    7

    h-index

  2. Computer Music Journal

    5 publications · 364 citations

    5

    h-index

  3. Perspectives of New Music

    3 publications · 46 citations

    3

    h-index

  4. IEEE Transactions on Multimedia

    2 publications · 142 citations

    2

    h-index

  5. Music Theory Spectrum

    2 publications · 65 citations

    2

    h-index

1–5