Graph-Based Connectivity Analysis is a computational method within the domain of network science that quantifies the structural and functional relationships among nodes in a graph representation of a complex system to assess the integrity, efficiency, and robustness of its interconnected components.
66
Publications
3K
Citations
245
Authors
144
Institutions
Publications per year
2017–2026
24
Parents
Publications
66
Graph-based analysis of brain connectivity in schizophrenia
Elżbieta Olejarczyk, Wojciech Jernajczyk · PLoS ONE · 2017 · 256 citations · Full text
D <scp>elta</scp> C <scp>on</scp>
Danai Koutra, Neil Shah, Joshua T Vogelstein et al. · ACM Transactions on Knowledge Discovery from Data · 2016 · 146 citations · Full text
1–5 of 66
Authors
245
- CF
3
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- JT
2
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- DK
2
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- PD
2
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- SM
2
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1–5 of 245
Institutions
144
Carnegie Mellon University
Pittsburgh, United States
4 h-index
9 publications
768 citations
Polish Academy of Sciences
Warsaw, Poland
3 h-index
3 publications
318 citations
Institute of Biocybernetics and Biomedical Engineering
Warsaw, Poland
3 h-index
3 publications
318 citations
National Institute of Technology Calicut
Kozhikode, India
3 h-index
4 publications
68 citations
Inserm
Paris, France
2 h-index
6 publications
156 citations
University of Antwerp
Antwerp, Belgium
2 h-index
4 publications
236 citations
Duke University
Durham, United States
2 h-index
4 publications
177 citations
KU Leuven
Leuven, Belgium
2 h-index
14 publications
274 citations
1–8 of 144
Venues
- PLoS ONE
3 publications · 292 citations
3
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- Physica A Statistical Mechanics and its Applications
2 publications · 67 citations
2
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- Mathematical Problems in Engineering
MPE · 2 publications · 55 citations
2
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- NeuroImage
2 publications · 38 citations
2
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- Behavioral Neuroscience
1 publications · 34 citations
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