Dynamic Shortest Paths

Dynamic Shortest Paths is a computational framework in graph theory that maintains shortest path information under dynamic modifications to the graph structure, such as edge insertions or deletions, distinguishing it from static shortest path algorithms by enabling efficient incremental updates without full recomputation.

170

Publications

8.4K

Citations

347

Authors

198

Institutions

Publications per year

2017–2026

40

Authors

347

  1. DF
    Daniele Frigioni

    University of L'Aquila, Italy

    9 publications · 206 citations

    9

    h-index

  2. GF
    Giuseppe F. Italiano

    University of Rome Tor Vergata, Italy

    7 publications · 617 citations

    7

    h-index

  3. LR
    Liam Roditty

    Bar-Ilan University, Israel

    6 publications · 364 citations

    6

    h-index

  4. CD
    Camil Demetrescu

    Sapienza University of Rome, Italy

    6 publications · 538 citations

    6

    h-index

  5. BJ
    B. John Oommen

    Carleton University, Canada

    5 publications · 189 citations

    5

    h-index

1–5 of 347

Venues

  1. Theoretical Computer Science

    7 publications · 209 citations

    7

    h-index

  2. Networks

    5 publications · 291 citations

    5

    h-index

  3. IEEE/ACM Transactions on Networking

    TON · 4 publications · 656 citations

    4

    h-index

  4. IEEE Access

    4 publications · 62 citations

    4

    h-index

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

    Repository · 3 publications · 55 citations

    3

    h-index

1–5