Source-sink Networks

Source-Sink Networks is a spatial network structure model that characterizes directional flows from resource-generating nodes (sources) to resource-consuming nodes (sinks), distinguishing it from undirected or reciprocal network models by explicitly representing asymmetrical resource transport dynamics.

119

Publications

5.1K

Citations

405

Authors

187

Institutions

Publications per year

2017–2026

29

Authors

405

  1. RR
    Raymond R. Tan

    De La Salle University, Philippines

    3 publications · 79 citations

    3

    h-index

  2. JS
    Johannes Schmitt

    Technische Universität Darmstadt, Germany

    2 publications · 117 citations

    2

    h-index

  3. AG
    Anupam Gupta

    Carnegie Mellon University, United States

    2 publications · 140 citations

    2

    h-index

  4. RE
    Richard E. Bodmer

    University of Kent, United Kingdom

    2 publications · 86 citations

    2

    h-index

  5. MT
    Mohammad Taghi Hajiaghayi

    Massachusetts Institute of Technology, United States

    2 publications · 140 citations

    2

    h-index

1–5 of 405

Venues

  1. Industrial & Engineering Chemistry Research

    4 publications · 106 citations

    4

    h-index

  2. Field Crops Research

    4 publications · 409 citations

    4

    h-index

  3. IEEE Transactions on Information Theory

    4 publications · 251 citations

    4

    h-index

  4. Energy Procedia

    3 publications · 51 citations

    3

    h-index

  5. IEEE Transactions on Reliability

    2 publications · 41 citations

    2

    h-index

1–5