Statistical Failure Theory
Statistical Failure Theory is a formal analytical framework within the domain of failure theories that employs statistical methods to quantify and predict the probability of material or system failure under uncertain or variable conditions.
195
Publications
13.9K
Citations
430
Authors
235
Institutions
Publications per year
2017–2026
29
Parents
195
1–5 of 195
430
3
h-index
3
h-index
3
h-index
3
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3
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1–5 of 430
235
National Institute of Standards and Technology
Gaithersburg, United States
4 h-index
8 publications
512 citations
Stanford University
Stanford, United States
3 h-index
5 publications
213 citations
The Ohio State University
Columbus, United States
3 h-index
12 publications
244 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
7 publications
124 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
88 citations

University of Waterloo
Waterloo, Canada
3 h-index
3 publications
164 citations

Portland State University
Portland, United States
3 h-index
3 publications
57 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
131 citations
1–8 of 235
14 publications · 487 citations
12
h-index
10 publications · 2.7K citations
10
h-index
8 publications · 360 citations
8
h-index
5 publications · 315 citations
5
h-index
5 publications · 122 citations
5
h-index
1–5