Onset Fluency
Onset Fluency is a scholarly contribution in the form of a methodological advancement that specifically enhances the temporal precision and coherence of initial state detection within dynamic systems, distinguishing itself from related metrics by its focus on the fluency of onset transitions in time-series data analysis.
2
Publications
212
Citations
4
Authors
5
Institutions
Publications per year
2017–2026
1
Parents
2
1–2 of 2
4
1
h-index
1
h-index
1
h-index
National Institute of Neurological Disorders and Stroke, United States
1 publications · 25 citations
1
h-index
1–4 of 4
5
Google (United States)
Mountain View, United States
1 h-index
1 publications
187 citations
University of Iowa
Iowa City, United States
1 h-index
1 publications
187 citations
University of California, Riverside
Riverside, United States
1 h-index
2 publications
50 citations
National Institute of Neurological Disorders and Stroke
Bethesda, United States
1 h-index
1 publications
25 citations
National Institutes of Health
Bethesda, United States
1 h-index
1 publications
25 citations
1–5 of 5
1 publications · 187 citations
1
h-index
1 publications · 25 citations
1
h-index
1–2