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
Parents
31
1–5 of 31
113
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 113
65
University College London
London, United Kingdom
3 h-index
5 publications
194 citations
VA NY Harbor Healthcare System
New York, United States
2 h-index
2 publications
133 citations
University of Iowa
Iowa City, United States
2 h-index
2 publications
133 citations

UNSW Sydney
Sydney, Australia
2 h-index
7 publications
159 citations

University of Bradford
Bradford, United Kingdom
2 h-index
4 publications
820 citations
Dalhousie University
Halifax, Canada
2 h-index
2 publications
53 citations
Legacy Health
Portland, United States
2 h-index
4 publications
210 citations

Medical College of Wisconsin
Milwaukee, United States
2 h-index
4 publications
260 citations
1–8 of 65
IOVS · 4 publications · 236 citations
4
h-index
2 publications · 30 citations
2
h-index
2 publications · 78 citations
2
h-index
OPO · 2 publications · 296 citations
2
h-index
Repository · 2 publications · 48 citations
2
h-index
1–5