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

Authors

263

  1. BE
    Borja Esteve‐Altava

    Howard University, United States

    6 publications · 324 citations

    6

    h-index

  2. DR
    Diego Rasskin‐Gutman

    Universitat de València, Spain

    3 publications · 217 citations

    3

    h-index

  3. EJ
    Erick J. Canales‐Rodríguez

    Centro de Investigación Biomédica en Red de Salud Mental, Spain

    2 publications · 537 citations

    2

    h-index

  4. RD
    Rui Diogo

    Howard University, United States

    2 publications · 114 citations

    2

    h-index

  5. LM
    Lester Melie‐García

    Cuban Neuroscience Center, Cuba

    2 publications · 537 citations

    2

    h-index

1–5 of 263

Venues

  1. PLoS ONE

    7 publications · 223 citations

    7

    h-index

  2. NeuroImage

    4 publications · 1.2K citations

    4

    h-index

  3. Scientific Reports

    3 publications · 158 citations

    3

    h-index

  4. Human Brain Mapping

    2 publications · 74 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 54 citations

    2

    h-index

1–5