Sublinear-time Graph Algorithms

Sublinear-Time Graph Algorithms is a class of algorithmic methods in theoretical computer science that, given access to a graph via queries, solves computational problems in time strictly sublinear in the size of the input graph, thereby distinguishing itself from traditional graph algorithms that require at least linear time.

91

Publications

10.7K

Citations

164

Authors

106

Institutions

Publications per year

2017–2026

16

Authors

164

  1. DR
    Dana Ron

    Tel Aviv University, Israel

    8 publications · 333 citations

    8

    h-index

  2. RE
    Robert E. Tarjan

    Princeton University, United States

    4 publications · 6.7K citations

    4

    h-index

  3. FK
    Fabian Kühn

    ETH Zurich, Switzerland

    3 publications · 57 citations

    3

    h-index

  4. DE
    David Eppstein

    University of California, Irvine, United States

    3 publications · 48 citations

    3

    h-index

  5. KO
    Krzysztof Onak

    Massachusetts Institute of Technology, United States

    3 publications · 98 citations

    3

    h-index

1–5 of 164

Venues

  1. SIAM Journal on Computing

    6 publications · 6.2K citations

    6

    h-index

  2. Symposium on Discrete Algorithms

    Conference · 6 publications · 242 citations

    6

    h-index

  3. Information Processing Letters

    5 publications · 89 citations

    5

    h-index

  4. Algorithmica

    4 publications · 106 citations

    4

    h-index

  5. Discrete Applied Mathematics

    4 publications · 102 citations

    4

    h-index

1–5