Cut Algorithms

Cut Algorithms is a class of graph algorithms that identify and compute minimal edge separations, or cuts, which partition a graph into disjoint subsets while minimizing the total weight of edges removed, thereby solving connectivity and flow optimization problems in networks.

805

Publications

54K

Citations

1.6K

Authors

661

Institutions

Publications per year

2017–2026

113

Authors

1.6K

  1. HN
    Hiroshi Nagamochi

    Kyoto University, Japan

    8 publications · 314 citations

    10

    h-index

  2. DS
    Dorit S. Hochbaum

    University of California, Berkeley, United States

    9 publications · 749 citations

    9

    h-index

  3. DR
    David R. Karger

    Massachusetts Institute of Technology, United States

    9 publications · 942 citations

    9

    h-index

  4. ST
    S. Thomas McCormick

    University of British Columbia, Canada

    8 publications · 208 citations

    8

    h-index

  5. SR
    Satish Rao

    University of California, Berkeley, United States

    8 publications · 989 citations

    8

    h-index

1–5 of 1.6K

Venues

  1. Mathematical Programming

    42 publications · 2.4K citations

    27

    h-index

  2. SIAM Journal on Computing

    26 publications · 3.1K citations

    23

    h-index

  3. European Journal of Operational Research

    25 publications · 1.1K citations

    20

    h-index

  4. Algorithmica

    23 publications · 1.1K citations

    16

    h-index

  5. Networks

    14 publications · 677 citations

    12

    h-index

1–5