Data Integrity Metrics
Data Integrity Metrics is a quantitative assessment framework that measures the accuracy, consistency, completeness, and reliability of data within a given system or dataset to evaluate its adherence to predefined integrity standards.
9
Publications
393
Citations
46
Authors
17
Institutions
Publications per year
2017–2026
4
Parents
9
Wavelength multicasting in silicon photonic nanowires
Aleksandr Biberman, Benjamin G. Lee, Amy C. Turner-Foster et al. · Optics Express · 2010 · 83 citations · Full text
Choon Beng Tan, Mohd Hanafi Ahmad Hijazi, Yuto Lim et al. · Journal of Network and Computer Applications · 2018 · 78 citations · Full text
Diana Morlote, Karen M. Janowski, Rance C. Siniard et al. · American Journal of Clinical Pathology · 2019 · 22 citations
1–5 of 9
46
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 46
17
Moscow State University of Civil Engineering
Moscow, Russia
1 h-index
1 publications
12 citations

University of Central Florida
Orlando, United States
1 h-index
3 publications
108 citations
Local Government Commission
Sacramento, United States
1 h-index
1 publications
13 citations
University of Houston
Houston, United States
1 h-index
2 publications
20 citations
Columbia University
New York, United States
1 h-index
3 publications
249 citations
University of Malaya
Kuala Lumpur, Malaysia
1 h-index
1 publications
78 citations
Public Library of Science
San Francisco, United States
1 h-index
2 publications
26 citations
Voronezh State Technical University
Voronezh, Russia
1 h-index
1 publications
12 citations
1–8 of 17
1 publications · 13 citations
1
h-index
TRPRO · 1 publications · 12 citations
1
h-index
JNCA · 1 publications · 78 citations
1
h-index
1 publications · 126 citations
1
h-index
1 publications · 83 citations
1
h-index
1–5