Random Uncertainty Analysis
Random Uncertainty Analysis is a methodological framework within dose uncertainty analysis that quantifies variability arising from stochastic fluctuations in measurement or simulation by characterizing the precision of dose estimates through statistical dispersion under repeated sampling conditions.
54
Publications
1.6K
Citations
187
Authors
95
Institutions
Publications per year
2017–2026
23
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187
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95

Zhejiang University
Hangzhou, China
4 h-index
12 publications
402 citations

Hunan University
Changsha, China
3 h-index
9 publications
319 citations

National Laboratory of the Rockies
Golden, United States
2 h-index
4 publications
75 citations
Maritime Research Institute Netherlands
Wageningen, The Netherlands
2 h-index
2 publications
39 citations
Waseda University
Tokyo, Japan
2 h-index
3 publications
242 citations
Tongji University
Shanghai, China
2 h-index
3 publications
118 citations
Goddard Space Flight Center
Greenbelt, United States
2 h-index
5 publications
155 citations

Langley Research Center
Hampton, United States
2 h-index
4 publications
136 citations
1–8 of 95
3 publications · 116 citations
3
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JGR · 2 publications · 52 citations
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2 publications · 148 citations
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2 publications · 25 citations
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BJR · 2 publications · 56 citations
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1–5