Digital Choreographic Analysis

Digital Choreographic Analysis is a systematic methodological framework within choreographic analysis that employs digital technologies and computational tools to encode, interpret, and evaluate movement phenomena, distinguishing itself through the integration of data-driven visualization, motion capture, and algorithmic pattern recognition in the study of dance and embodied practices.

16

Publications

409

Citations

56

Authors

26

Institutions

Publications per year

2017–2026

3

Authors

56

  1. OA
    Ola Ahlqvist

    The Ohio State University, United States

    2 publications · 32 citations

    2

    h-index

  2. SD
    Scott deLahunta

    Coventry University, United Kingdom

    2 publications · 52 citations

    2

    h-index

  3. NZ
    Norah Zuňiga Shaw

    The Ohio State University, United States

    2 publications · 45 citations

    2

    h-index

  4. HB
    Hyowon Ban

    The Ohio State University, United States

    2 publications · 32 citations

    2

    h-index

  5. GC
    Giannis Chantas

    University of Ioannina, Greece

    1 publications · 11 citations

    1

    h-index

1–5 of 56

Venues

  1. Leonardo

    2 publications · 54 citations

    2

    h-index

  2. Applied Geography

    2 publications · 32 citations

    2

    h-index

  3. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 1 publications · 23 citations

    1

    h-index

  4. Computers & Graphics

    1 publications · 37 citations

    1

    h-index

  5. Educational Technology Research and Development

    ETRD · 1 publications · 12 citations

    1

    h-index

1–5