Dynamic Connectivity

Dynamic Connectivity is a dynamic data structure method that maintains and queries the connected components of a graph under a sequence of edge insertions and deletions, distinguishing itself by supporting efficient real-time updates and connectivity queries in evolving graphs.

572

Publications

34.6K

Citations

2.7K

Authors

894

Institutions

Publications per year

2017–2026

416

Authors

2.7K

  1. VD
    Vince D. Calhoun

    Mind Research Network, United States

    69 publications · 4.9K citations

    39

    h-index

  2. ZF
    Zening Fu

    Center for Translational Research in Neuroimaging and Data Science, United States

    15 publications · 883 citations

    14

    h-index

  3. ED
    Eswar Damaraju

    University of New Mexico, United States

    14 publications · 1.3K citations

    14

    h-index

  4. RL
    Robyn L. Miller

    Georgia State University, United States

    15 publications · 774 citations

    14

    h-index

  5. GD
    Godfrey D. Pearlson

    Yale University, United States

    13 publications · 1.7K citations

    12

    h-index

1–5 of 2.7K

Venues

  1. NeuroImage

    46 publications · 4.6K citations

    33

    h-index

  2. Human Brain Mapping

    41 publications · 4K citations

    29

    h-index

  3. Frontiers in Neuroscience

    26 publications · 778 citations

    18

    h-index

  4. NeuroImage Clinical

    18 publications · 1.2K citations

    17

    h-index

  5. Brain Connectivity

    18 publications · 910 citations

    16

    h-index

1–5