Generalized Flow

Generalized Flow is a network flow model that extends the classical flow problem by allowing flow gains or losses on arcs, thereby distinguishing it from standard flow models through the incorporation of multiplicative arc multipliers that scale the flow as it traverses the network.

99

Publications

7K

Citations

217

Authors

133

Institutions

Publications per year

2017–2026

22

Authors

217

  1. ÉT
    Éva Tardos

    Cornell University, United States

    3 publications · 184 citations

    3

    h-index

  2. KW
    Kevin Wayne

    University of Southern California, United States

    3 publications · 135 citations

    3

    h-index

  3. SP
    Serge Plotkin

    Stanford University, United States

    2 publications · 126 citations

    2

    h-index

  4. AA
    Asif Ali

    Quaid-i-Azam University, Pakistan

    2 publications · 64 citations

    2

    h-index

  5. FA
    Farhad Ali

    City University of Science and Information Technology, Pakistan

    2 publications · 45 citations

    2

    h-index

1–5 of 217

Venues

  1. Mathematical Programming

    4 publications · 153 citations

    4

    h-index

  2. Mathematics of Operations Research

    3 publications · 181 citations

    3

    h-index

  3. 2

    h-index

  4. AIChE Journal

    2 publications · 2.9K citations

    2

    h-index

  5. Networks

    2 publications · 72 citations

    2

    h-index

1–5