Random Fluctuation Modeling
Random Fluctuation Modeling is a stochastic modeling framework that characterizes unpredictable variations in a system or process by isolating and quantifying inherent randomness, distinguishing it from deterministic trends or external influences within fluctuation analysis.
130
Publications
6.2K
Citations
362
Authors
172
Institutions
Publications per year
2017–2026
18
Parents
130
1–5 of 130
362
IBM Research - Thomas J. Watson Research Center, United States
4 publications · 227 citations
4
h-index
4
h-index
3
h-index
3
h-index
2
h-index
1–5 of 362
172
The University of Tokyo
Tokyo, Japan
5 h-index
9 publications
495 citations
The University of Osaka
Osaka, Japan
4 h-index
14 publications
191 citations

Pennsylvania State University
State College, United States
4 h-index
7 publications
261 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
4 h-index
15 publications
892 citations

North China Electric Power University
Beijing, China
3 h-index
6 publications
181 citations
Nagoya University
Nagoya, Japan
3 h-index
5 publications
69 citations
Florida State University
Tallahassee, United States
3 h-index
6 publications
83 citations
NEC (Japan)
Tokyo, Japan
3 h-index
7 publications
391 citations
1–8 of 172
7 publications · 109 citations
7
h-index
PRE · 4 publications · 142 citations
4
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3 publications · 82 citations
3
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3 publications · 643 citations
3
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3 publications · 146 citations
3
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1–5