Single-source Shortest Paths

Single-Source Shortest Paths is a computational graph theory problem that, given a directed or undirected graph with non-negative edge weights and a designated source vertex, determines the shortest path distances from the source to all other vertices in the graph.

208

Publications

14.3K

Citations

420

Authors

198

Institutions

Publications per year

2017–2026

49

Variants

Sssp

Authors

420

  1. DN
    Danupon Nanongkai

    University of Vienna, Austria

    9 publications · 581 citations

    9

    h-index

  2. MT
    Mikkel Thorup

    AT&T (United States), United States

    8 publications · 918 citations

    8

    h-index

  3. MH
    Monika Henzinger

    University of Vienna, Austria

    7 publications · 779 citations

    7

    h-index

  4. KP
    Keshav Pingali

    The University of Texas at Austin, United States

    6 publications · 218 citations

    6

    h-index

  5. PN
    Philip N. Klein

    Brown University, United States

    6 publications · 765 citations

    6

    h-index

1–5 of 420

Venues

  1. Journal of the ACM

    JACM · 7 publications · 4.4K citations

    7

    h-index

  2. SIAM Journal on Computing

    6 publications · 822 citations

    6

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 356 citations

    5

    h-index

  4. Journal of Algorithms

    5 publications · 285 citations

    5

    h-index

  5. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 4 publications · 68 citations

    4

    h-index

1–5