Approximation Algorithms For Shortest Paths

Approximation Algorithms for Shortest Paths is an algorithmic approach within shortest path computation that provides near-optimal solutions with provable performance guarantees for problems where exact solutions are computationally expensive or infeasible.

348

Publications

16.7K

Citations

599

Authors

297

Institutions

Publications per year

2017–2026

52

Authors

599

  1. DN
    Danupon Nanongkai

    University of Vienna, Austria

    10 publications · 443 citations

    10

    h-index

  2. PK
    Pankaj K. Agarwal

    Duke University, United States

    10 publications · 272 citations

    10

    h-index

  3. JS
    Joseph S. B. Mitchell

    Stony Brook University, United States

    8 publications · 326 citations

    8

    h-index

  4. AM
    Anil Maheshwari

    Carleton University, Canada

    8 publications · 500 citations

    8

    h-index

  5. SH
    Sariel Har-Peled

    University of Illinois Urbana-Champaign, United States

    7 publications · 232 citations

    7

    h-index

1–5 of 599

Venues

  1. SIAM Journal on Computing

    19 publications · 1K citations

    17

    h-index

  2. Networks

    11 publications · 453 citations

    10

    h-index

  3. Journal of Combinatorial Optimization

    8 publications · 316 citations

    8

    h-index

  4. Algorithmica

    8 publications · 544 citations

    8

    h-index

  5. arXiv (Cornell University)

    Repository · 8 publications · 224 citations

    8

    h-index

1–5