Reliability Modeling
Reliability Modeling is a quantitative modeling approach within stochastic and systems modeling that uses probabilistic and statistical representations of failure mechanisms, component interactions, and operating conditions to predict, assess, and optimize the ability of a system or component to perform its intended functions over time.
22.3K
Publications
1.1M
Citations
34.8K
Authors
5.6K
Institutions
Publications per year
2017–2026
6.3K
22.3K
The Statistical Analysis of Failure Time Data.
Murray Aitkin, John D. Kalbfleisch, Ross L. Prentice · Biometrics · 1981 · 10K citations
Assessing Reliability and Stability in Panel Models
Blair Wheaton, Bengt Muthén, Duane F. Alwin et al. · Sociological Methodology · 1977 · 3.1K citations
1–5 of 22.3K
34.8K
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5.6K

University of Electronic Science and Technology of China
Chengdu, China
70 h-index
731 publications
44.6K citations
National University of Singapore
Singapore, Singapore
63 h-index
349 publications
21.2K citations
Duke University
Durham, United States
63 h-index
285 publications
22.9K citations

Beihang University
Beijing, China
62 h-index
1.4K publications
50.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
61 h-index
354 publications
24.7K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
60 h-index
271 publications
18.8K citations
Politecnico di Milano
Milan, Italy
60 h-index
364 publications
20.6K citations

University of Saskatchewan
Saskatoon, Canada
59 h-index
443 publications
37K citations
1–8 of 5.6K
1.5K publications · 86.9K citations
127
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1.5K publications · 82.3K citations
126
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405 publications · 32.4K citations
89
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299 publications · 37.4K citations
88
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278 publications · 26.1K citations
85
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