Maximum Flow Algorithms

Maximum Flow Algorithms is a class of graph algorithms that determine the greatest possible flow from a source to a sink in a flow network while respecting edge capacity constraints.

503

Publications

39.6K

Citations

835

Authors

409

Institutions

Publications per year

2017–2026

69

Authors

835

  1. RE
    Robert E. Tarjan

    Princeton University, United States

    14 publications · 4.7K citations

    14

    h-index

  2. AV
    Andrew V. Goldberg

    Stanford University, United States

    14 publications · 3.9K citations

    13

    h-index

  3. PN
    Philip N. Klein

    Brown University, United States

    11 publications · 953 citations

    11

    h-index

  4. RP
    Richard Peng

    Georgia Institute of Technology, United States

    10 publications · 449 citations

    10

    h-index

  5. ÉT
    Éva Tardos

    Cornell University, United States

    10 publications · 565 citations

    10

    h-index

1–5 of 835

Venues

  1. SIAM Journal on Computing

    24 publications · 3.4K citations

    21

    h-index

  2. Networks

    27 publications · 775 citations

    18

    h-index

  3. Operations Research

    17 publications · 3K citations

    17

    h-index

  4. Mathematics of Operations Research

    18 publications · 1.1K citations

    16

    h-index

  5. Information Processing Letters

    11 publications · 553 citations

    11

    h-index

1–5