Computational Connectomics

Computational Connectomics is a computational framework within computational neurobiophysics that integrates neuroimaging data and graph-theoretical models to reconstruct, analyze, and simulate the structural and functional architecture of neural connectivity at multiple spatial scales.

138

Publications

14.8K

Citations

777

Authors

297

Institutions

Publications per year

2017–2026

86

Authors

777

  1. HP
    Hanspeter Pfister

    Harvard University Press, United States

    8 publications · 504 citations

    9

    h-index

  2. JW
    Jeff W. Lichtman

    Harvard University, United States

    5 publications · 389 citations

    5

    h-index

  3. VJ
    Viren Jain

    Google (United States), United States

    4 publications · 357 citations

    5

    h-index

  4. SM
    Stephen M. Plaza

    Janelia Research Campus, United States

    5 publications · 299 citations

    5

    h-index

  5. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    4 publications · 1K citations

    4

    h-index

1–5 of 777

Venues

  1. NeuroImage

    15 publications · 7.3K citations

    15

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 14 publications · 695 citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 193 citations

    10

    h-index

  4. Nature Methods

    4 publications · 566 citations

    5

    h-index

  5. Journal of Neuroscience Methods

    5 publications · 214 citations

    5

    h-index

1–5