Automated Audiometry

Automated Audiometry is a method within the field of pure-tone audiometry that employs algorithm-driven software and minimal operator intervention to determine auditory thresholds through adaptive testing procedures.

72

Publications

2.4K

Citations

230

Authors

108

Institutions

Publications per year

2017–2026

23

Variants

Automated Pure-tone Audiometry

Authors

230

  1. DW
    De Wet Swanepoel

    University of Pretoria, South Africa

    12 publications · 493 citations

    12

    h-index

  2. RH
    Robert H. Eikelboom

    The University of Western Australia, Australia

    9 publications · 295 citations

    9

    h-index

  3. RH
    Robert H. Margolis

    University of Minnesota, United States

    5 publications · 301 citations

    5

    h-index

  4. FM
    Faheema Mahomed‐Asmail

    University of Pretoria, South Africa

    4 publications · 134 citations

    4

    h-index

  5. GK
    Gitte Keidser

    National Acoustic Laboratories, Australia

    3 publications · 50 citations

    3

    h-index

1–5 of 230

Venues

  1. Ear and Hearing

    8 publications · 296 citations

    8

    h-index

  2. Journal of the American Academy of Audiology

    JAAA · 7 publications · 230 citations

    7

    h-index

  3. International Journal of Audiology

    7 publications · 274 citations

    7

    h-index

  4. British Journal of Audiology

    3 publications · 210 citations

    3

    h-index

  5. Otology & Neurotology

    2 publications · 63 citations

    2

    h-index

1–5