Recall Data Analytics
Recall Data Analytics is a systematic method within recall management that employs quantitative and qualitative analytical techniques to identify, interpret, and report patterns in medical device recall data, distinguishing itself by enabling evidence-based decision-making for regulatory compliance, risk mitigation, and process improvement.
9
Publications
667
Citations
25
Authors
15
Institutions
Publications per year
2017–2026
3
9
Christopher D. Golden, Richard W. Wrangham, Justin S. Brashares · Animal Conservation · 2013 · 68 citations · Full text
Natural Resources, Conservation Biology, Environmental Sciences +12
1–5 of 9
25
1
h-index
1
h-index
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5 of 25
15
Johnson University
Knoxville, United States
1 h-index
1 publications
12 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
1 publications
344 citations

Harvard University Press
Cambridge, United States
1 h-index
1 publications
68 citations
University of Embu
Embu, Kenya
1 h-index
1 publications
16 citations

Victoria University
Melbourne, Australia
1 h-index
1 publications
19 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
136 citations
Egerton University
Nakuru, Kenya
1 h-index
2 publications
32 citations
Environmental and Occupational Health Sciences Institute
Piscataway, United States
1 h-index
1 publications
12 citations
1–8 of 15
BI&T · 2 publications · 33 citations
2
h-index
1 publications · 160 citations
1
h-index
1 publications · 344 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5