Graph Theory Connectivity

Graph Theory Connectivity is a mathematical framework within landscape connectivity modeling that employs graph-theoretical principles to represent and analyze the structural connectedness of habitat patches, distinguished by its formalization of landscapes as networks of nodes and edges to quantify potential organism movement and ecological flow.

329

Publications

31.1K

Citations

1.2K

Authors

606

Institutions

Publications per year

2017–2026

120

Authors

1.2K

  1. FM
    Francesca Miraglia

    Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele

    9 publications · 681 citations

    9

    h-index

  2. PM
    Paolo Maria Rossini

    Istituti di Ricovero e Cura a Carattere Scientifico, Italy

    9 publications · 681 citations

    9

    h-index

  3. FV
    Fabrizio Vecchio

    Istituti di Ricovero e Cura a Carattere Scientifico, Italy

    7 publications · 507 citations

    7

    h-index

  4. EM
    E. McCafferty

    United States Naval Research Laboratory, United States

    6 publications · 137 citations

    6

    h-index

  5. PB
    Placido Bramanti

    Centro Neurolesi Bonino Pulejo, Italy

    5 publications · 488 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. PLoS ONE

    13 publications · 1.4K citations

    13

    h-index

  2. NeuroImage

    7 publications · 965 citations

    7

    h-index

  3. Landscape Ecology

    6 publications · 313 citations

    6

    h-index

  4. Scientific Reports

    6 publications · 137 citations

    6

    h-index

  5. Human Brain Mapping

    5 publications · 504 citations

    5

    h-index

1–5