Automated Accessibility Checking

Automated Accessibility Checking is a methodological approach in web accessibility research that systematically evaluates digital content for compliance with accessibility standards using algorithmic tools to identify potential barriers for users with disabilities.

82

Publications

2.8K

Citations

199

Authors

94

Institutions

Publications per year

2017–2026

31

Authors

199

  1. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    4 publications · 150 citations

    4

    h-index

  2. MV
    Markel Vigo

    University of Manchester, United Kingdom

    3 publications · 238 citations

    3

    h-index

  3. FP
    Fabio Paternò

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    3 publications · 88 citations

    3

    h-index

  4. PE
    Paul Englefield

    University of Warwick, United Kingdom

    2 publications · 64 citations

    2

    h-index

  5. WA
    Wajdi Aljedaani

    University of North Texas, United States

    2 publications · 61 citations

    2

    h-index

1–5 of 199

Venues

  1. Universal Access in the Information Society

    5 publications · 204 citations

    5

    h-index

  2. Library Hi Tech

    3 publications · 118 citations

    3

    h-index

  3. New Review of Hypermedia and Multimedia

    2 publications · 29 citations

    2

    h-index

  4. Interacting with Computers

    2 publications · 101 citations

    2

    h-index

  5. PeerJ Computer Science

    1 publications · 27 citations

    1

    h-index

1–5