Self-driving Networks

Self-Driving Networks is a network automation framework that integrates artificial intelligence and real-time analytics to enable autonomous configuration, optimization, fault detection, and policy enforcement without human intervention.

150

Publications

11K

Citations

612

Authors

240

Institutions

Publications per year

2017–2026

129

Variants

Autonomous Networks

Authors

612

  1. MP
    Marco Pavone

    Stanford University, United States

    7 publications · 518 citations

    7

    h-index

  2. MS
    Mauro Salazar

    ETH Zurich, Switzerland

    4 publications · 186 citations

    4

    h-index

  3. FR
    Federico Rossi

    Stanford University, United States

    4 publications · 272 citations

    4

    h-index

  4. JK
    Jinkyu Kim

    Korea University, South Korea

    4 publications · 528 citations

    4

    h-index

  5. MS
    Maximilian Schiffer

    Technical University of Munich, Germany

    4 publications · 186 citations

    4

    h-index

1–5 of 612

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 480 citations

    12

    h-index

  2. IEEE Access

    9 publications · 943 citations

    9

    h-index

  3. IEEE Network

    5 publications · 551 citations

    5

    h-index

  4. IEEE Transactions on Vehicular Technology

    3 publications · 115 citations

    3

    h-index

  5. Computers

    2 publications · 152 citations

    2

    h-index

1–5