Choreographic Analytics

Choreographic Analytics is a methodological framework within digital choreography that systematically extracts, interprets, and evaluates movement patterns through computational and data-driven techniques to reveal structural, expressive, or performative insights in choreographic practices.

2

Publications

32

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

9

  1. OA
    Ola Ahlqvist

    The Ohio State University, United States

    2 publications · 32 citations

    2

    h-index

  2. HB
    Hyowon Ban

    The Ohio State University, United States

    2 publications · 32 citations

    2

    h-index

  3. SH
    Seyed Hossein Chavoshi

    Ghent University, Belgium

    1 publications · 14 citations

    1

    h-index

  4. NV
    Nico Van de Weghe

    Ghent University, Belgium

    1 publications · 14 citations

    1

    h-index

  5. NC
    Noel Cressie

    Iowa State University, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. California State University, Long Beach

    Long Beach, United States

    2 h-index

    2 publications

    32 citations

  2. The Ohio State University

    Columbus, United States

    2 h-index

    5 publications

    86 citations

  3. Ghent University

    Ghent, Belgium

    1 h-index

    5 publications

    70 citations

1–3 of 3

Venues

  1. Applied Geography

    2 publications · 32 citations

    2

    h-index

1–1