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
Parents
150
1–5 of 150
612
7
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 612
240
Stanford University
Stanford, United States
10 h-index
27 publications
2.2K citations
Technical University of Munich
Munich, Germany
5 h-index
13 publications
495 citations
ETH Zurich
Zurich, Switzerland
5 h-index
17 publications
735 citations

University of Toronto
Toronto, Canada
4 h-index
13 publications
752 citations
University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
1K citations
Tsinghua University
Beijing, China
4 h-index
6 publications
576 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
9 publications
247 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
11 publications
2.8K citations
1–8 of 240
Repository · 13 publications · 480 citations
12
h-index
9 publications · 943 citations
9
h-index
5 publications · 551 citations
5
h-index
3 publications · 115 citations
3
h-index
2 publications · 152 citations
2
h-index
1–5