Information Flow Graphs

Information Flow Graph is a directed graph-based model that represents the pathways and dependencies of information transmission among nodes within a communication topology, distinguishing itself by explicitly encoding the direction, sequence, and potential bottlenecks of data flow in networked systems.

281

Publications

13.6K

Citations

708

Authors

298

Institutions

Publications per year

2017–2026

43

Variants

Information Flow Graph

Authors

708

  1. LP
    Laura Pozzi

    Università della Svizzera italiana, Switzerland

    5 publications · 205 citations

    5

    h-index

  2. SP
    Steven P. Reiss

    Brown University, United States

    5 publications · 566 citations

    5

    h-index

  3. AA
    Amir Ajorlou

    Concordia University, Canada

    5 publications · 94 citations

    5

    h-index

  4. AG
    Amir G. Aghdam

    Concordia University, Canada

    5 publications · 94 citations

    5

    h-index

  5. BS
    Bernhard Steffen

    TU Dortmund University, Germany

    3 publications · 395 citations

    3

    h-index

1–5 of 708

Venues

  1. ACM SIGPLAN Notices

    6 publications · 337 citations

    6

    h-index

  2. 4

    h-index

  3. IEEE Access

    4 publications · 73 citations

    4

    h-index

  4. 3

    h-index

  5. ACM Transactions on Software Engineering and Methodology

    TOSEM · 3 publications · 790 citations

    3

    h-index

1–5