Readability Modeling

Readability Modeling is a computational framework that quantitatively predicts the ease with which text can be read and comprehended by specifying typographic, linguistic, and cognitive factors that influence reading performance.

263

Publications

15.5K

Citations

582

Authors

267

Institutions

Publications per year

2017–2026

59

Authors

582

  1. TF
    Thomas François

    UCLouvain, Belgium

    7 publications · 304 citations

    7

    h-index

  2. KC
    Kevyn Collins‐Thompson

    Microsoft (United States), United States

    7 publications · 730 citations

    7

    h-index

  3. SA
    Scott A. Crossley

    Georgia State University, United States

    5 publications · 604 citations

    5

    h-index

  4. DS
    Danielle S. McNamara

    Arizona State University, United States

    5 publications · 440 citations

    5

    h-index

  5. DM
    Detmar Meurers

    University of Tübingen, Germany

    5 publications · 209 citations

    5

    h-index

1–5 of 582

Venues

  1. The Journal of Reading

    6 publications · 119 citations

    6

    h-index

  2. The Elementary School Journal

    5 publications · 513 citations

    5

    h-index

  3. Journal of Research in Reading

    4 publications · 216 citations

    4

    h-index

  4. Natural Language Engineering

    3 publications · 126 citations

    3

    h-index

  5. ACM Journal of Computer Documentation

    JCD · 3 publications · 584 citations

    3

    h-index

1–5