Automated Typesetting

Automated Typesetting is a computational method within digital publishing that systematically arranges textual and visual elements according to predefined formatting rules and algorithms, distinguishing itself from manual typesetting by enabling consistent, scalable, and efficient document composition without direct human intervention.

13

Publications

315

Citations

24

Authors

14

Institutions

Publications per year

2017–2026

1

Variants

Computerized Typesetting

Authors

24

  1. JV
    Joris van der Hoeven

    Centre National de la Recherche Scientifique, France

    2 publications · 23 citations

    2

    h-index

  2. RH
    R.M. Haralick

    University of Washington, United States

    2 publications · 40 citations

    2

    h-index

  3. TK
    Tapas Kanungo

    University of Maryland, College Park, United States

    2 publications · 40 citations

    2

    h-index

  4. TB
    Taylor Berg-Kirkpatrick

    University of California San Diego, United States

    1 publications · 27 citations

    1

    h-index

  5. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    1 publications · 59 citations

    1

    h-index

1–5 of 24

Venues

  1. Hypermedia

    1 publications · 59 citations

    1

    h-index

  2. ACM SIGSAM Bulletin

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Proceedings of the IEEE

    1 publications · 20 citations

    1

    h-index

  5. GLQ A Journal of Lesbian and Gay Studies

    1 publications · 21 citations

    1

    h-index

1–5