Dynamic Connectivity Analysis
Dynamic Connectivity Analysis is a reservoir connectivity assessment method that distinguishes itself by evaluating time-dependent fluid-flow interactions and pressure-transient responses among reservoir compartments to reveal evolving hydraulic communication pathways under dynamic production conditions.
124
Publications
6.6K
Citations
685
Authors
328
Institutions
Publications per year
2017–2026
98
124
Barnaly Rashid, Eswar Damaraju, Godfrey D. Pearlson et al. · Frontiers in Human Neuroscience · 2014 · 440 citations · Full text
Dynamic functional connectivity changes associated with dementia in Parkinson’s disease
Eleonora Fiorenzato, Antonio P. Strafella, Jinhee Kim et al. · Brain · 2019 · 321 citations · Full text
Medicine, Neurology, Neuroscience +17
1–5 of 124
685
19
h-index
5
h-index
Center for Translational Research in Neuroimaging and Data Science, United States
3 publications · 158 citations
3
h-index
Institute of Automation, China
3 publications · 188 citations
3
h-index
3
h-index
1–5 of 685
328
University of New Mexico
Albuquerque, United States
15 h-index
32 publications
3.3K citations
Mind Research Network
Albuquerque, United States
13 h-index
44 publications
3.9K citations
Emory University
Atlanta, United States
11 h-index
33 publications
1.3K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
33 publications
1.5K citations
Georgia State University
Atlanta, United States
10 h-index
31 publications
1.5K citations
Center for Translational Research in Neuroimaging and Data Science
Atlanta, United States
9 h-index
31 publications
1.4K citations
University of California, Irvine
Irvine, United States
7 h-index
11 publications
506 citations
Yale University
New Haven, United States
6 h-index
8 publications
1.4K citations
1–8 of 328
10 publications · 476 citations
10
h-index
8 publications · 560 citations
8
h-index
7 publications · 466 citations
7
h-index
5 publications · 558 citations
5
h-index
5 publications · 156 citations
5
h-index
1–5