Cross-Subject Variability Analysis is a methodological framework in electrooculogram analysis that quantifies and characterizes inter-individual differences in ocular signal patterns across a population to distinguish subject-specific artifacts from consistent physiological or behavioral correlates.
72
Publications
3K
Citations
297
Authors
164
Institutions
Publications per year
2017–2026
20
Parents
Publications
72
1–5 of 72
Authors
297
- SM
5
h-index
- MW
5
h-index
- SJ
4
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- JB
3
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- PA
3
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1–5 of 297
Institutions
164
University of Oxford
Oxford, United Kingdom
5 h-index
33 publications
3K citations
Wellcome Centre for Integrative Neuroimaging
Oxford, United Kingdom
5 h-index
33 publications
3K citations
ETH Zurich
Zurich, Switzerland
4 h-index
6 publications
191 citations
Washington University in St. Louis
St Louis, United States
4 h-index
5 publications
638 citations
University of Zurich
Zurich, Switzerland
3 h-index
3 publications
86 citations
Stanford University
Stanford, United States
3 h-index
4 publications
123 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
262 citations
Legacy Health
Portland, United States
2 h-index
10 publications
290 citations
1–8 of 164
Venues
- Documenta Ophthalmologica
7 publications · 256 citations
7
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- PubMed
Repository · 7 publications · 273 citations
7
h-index
- NeuroImage
5 publications · 214 citations
5
h-index
- Frontiers in Neuroscience
4 publications · 388 citations
4
h-index
- Acta Ophthalmologica
2 publications · 34 citations
2
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1–5