Crowding Prediction

Crowding Prediction is a quantitative method in orthodontic mixed dentition analysis that estimates the likelihood and severity of tooth misalignment by assessing the discrepancy between available arch space and the mesiodistal widths of unerupted permanent teeth.

27

Publications

2K

Citations

70

Authors

39

Institutions

Publications per year

2017–2026

7

Authors

70

  1. NH
    Nigel H. M. Wilson

    Massachusetts Institute of Technology, United States

    2 publications · 144 citations

    2

    h-index

  2. IB
    Iris Bohnet

    Harvard University, United States

    2 publications · 579 citations

    2

    h-index

  3. AJ
    Anthony J Ireland

    University Of Bristol Dental Hospital, United Kingdom

    2 publications · 36 citations

    2

    h-index

  4. BS
    Bruno S. Frey

    University of Zurich, Switzerland

    2 publications · 579 citations

    2

    h-index

  5. MS
    Martyn Sherriff

    King's College London, United Kingdom

    2 publications · 36 citations

    2

    h-index

1–5 of 70

Venues

  1. European Journal of Orthodontics

    4 publications · 87 citations

    4

    h-index

  2. American Journal of Orthodontics

    3 publications · 247 citations

    3

    h-index

  3. British Journal of Orthodontics

    2 publications · 77 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 99 citations

    2

    h-index

  5. The Angle Orthodontist

    1 publications · 207 citations

    1

    h-index

1–5