Visual Field Normative Databases

Visual Field Normative Databases is a specialized dataset that contains quantitative, population-based reference measurements of visual field sensitivity obtained under standardized testing conditions, used to establish normal ranges for visual function against which individual patient data can be compared to detect abnormalities.

31

Publications

1.4K

Citations

113

Authors

65

Institutions

Publications per year

2017–2026

9

Authors

113

  1. CA
    Chris A. Johnson

    University of California, Davis, United States

    3 publications · 143 citations

    3

    h-index

  2. DB
    David B. Elliott

    University of Bradford, United Kingdom

    2 publications · 296 citations

    2

    h-index

  3. AJ
    Andrew J. Anderson

    Australian College of Optometry, Australia

    2 publications · 105 citations

    2

    h-index

  4. MK
    Michael Kalloniatis

    UNSW Sydney, Australia

    2 publications · 43 citations

    2

    h-index

  5. SK
    Sieu K. Khuu

    UNSW Sydney, Australia

    2 publications · 43 citations

    2

    h-index

1–5 of 113

Venues

  1. Investigative Ophthalmology & Visual Science

    IOVS · 4 publications · 236 citations

    4

    h-index

  2. International Journal of Retina and Vitreous

    2 publications · 30 citations

    2

    h-index

  3. Journal of Glaucoma

    2 publications · 78 citations

    2

    h-index

  4. Ophthalmic and Physiological Optics

    OPO · 2 publications · 296 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 48 citations

    2

    h-index

1–5