Anatomical Graph Analysis
Anatomical Graph Analysis is a computational method that represents neuroanatomical structures as a graph, where nodes correspond to anatomical regions and edges encode structural or functional connections, enabling the quantitative characterization of brain network organization.
49
Publications
3.1K
Citations
263
Authors
134
Institutions
Publications per year
2017–2026
18
Parents
49
Towards quantitative connectivity analysis: reducing tractography biases
Gabriel Girard, Kevin Whittingstall, Rachid Deriche et al. · NeuroImage · 2014 · 353 citations
Life Sciences, Anatomy, Neuroscience +13
1–5 of 49
263
6
h-index
3
h-index
Centro de Investigación Biomédica en Red de Salud Mental, Spain
2 publications · 537 citations
2
h-index
2
h-index
2
h-index
1–5 of 263
134
Universitat de València
Valencia, Spain
3 h-index
6 publications
434 citations

Howard University
Washington, United States
3 h-index
6 publications
324 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
18 publications
1.3K citations

Beijing Normal University
Beijing, China
2 h-index
8 publications
249 citations
Inserm
Paris, France
2 h-index
7 publications
544 citations

Capital Medical University
Beijing, China
2 h-index
5 publications
152 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
4 publications
878 citations
Seoul National University
Seoul, South Korea
2 h-index
8 publications
282 citations
1–8 of 134
7 publications · 223 citations
7
h-index
4 publications · 1.2K citations
4
h-index
3 publications · 158 citations
3
h-index
2 publications · 74 citations
2
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Repository · 2 publications · 54 citations
2
h-index
1–5