Global Efficiency

Global Efficiency is a network-level metric in graph theory that quantifies the average inverse of the shortest path lengths between all pairs of nodes, distinguishing it from local measures by capturing the overall capacity of a network to integrate information across distant regions in the context of Small-World Networks.

554

Publications

43.3K

Citations

2.8K

Authors

1K

Institutions

Publications per year

2017–2026

265

Authors

2.8K

  1. YH
    Yong He

    Beijing Normal University, China

    8 publications · 1.6K citations

    8

    h-index

  2. DG
    David G. Norris

    Radboud University Nijmegen, Netherlands

    7 publications · 306 citations

    7

    h-index

  3. AM
    Anil M. Tuladhar

    Radboud University Nijmegen, Netherlands

    7 publications · 306 citations

    7

    h-index

  4. QG
    Qiyong Gong

    Sichuan University, China

    6 publications · 130 citations

    6

    h-index

  5. JW
    Jinhui Wang

    Beijing Normal University, China

    6 publications · 1.1K citations

    6

    h-index

1–5 of 2.8K

Venues

  1. Human Brain Mapping

    24 publications · 1.5K citations

    20

    h-index

  2. NeuroImage Clinical

    19 publications · 1.1K citations

    18

    h-index

  3. Scientific Reports

    21 publications · 1.4K citations

    17

    h-index

  4. Frontiers in Human Neuroscience

    17 publications · 1.3K citations

    17

    h-index

  5. PLoS ONE

    17 publications · 1.2K citations

    15

    h-index

1–5