Stochastic Network Optimization
Stochastic Network Optimization is a mathematical framework for optimizing network performance under uncertainty, distinguished by its integration of stochastic models to represent random or probabilistic network dynamics and its formulation of decision policies that adapt to evolving system states.
414
Publications
23.6K
Citations
974
Authors
450
Institutions
Publications per year
2017–2026
139
414
Stephen Boyd, Aritra Ghosh, Balaji Prabhakar et al. · IEEE Transactions on Information Theory · 2006 · 2.5K citations
Gossip algorithms: design, analysis and applications
Stephen Boyd, Aritra Ghosh, B. Prabbakar et al. · 2005 · 571 citations
1–5 of 414
974
15
h-index
National Taiwan University of Science and Technology, Taiwan
13 publications · 620 citations
12
h-index
7
h-index
7
h-index
National Taiwan University of Science and Technology, Taiwan
5 publications · 229 citations
5
h-index
1–5 of 974
450
University of Southern California
Los Angeles, United States
16 h-index
34 publications
4.3K citations
National Taiwan University of Science and Technology
Taipei, Taiwan
12 h-index
21 publications
820 citations
Tsinghua University
Beijing, China
8 h-index
15 publications
436 citations
University of Maryland, College Park
College Park, United States
8 h-index
15 publications
542 citations
University of Michigan
Ann Arbor, United States
8 h-index
14 publications
538 citations

University of Minnesota
Minneapolis, United States
8 h-index
15 publications
781 citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
9 publications
478 citations

Southeast University
Nanjing, China
7 h-index
17 publications
865 citations
1–8 of 450
10 publications · 2K citations
10
h-index
10 publications · 331 citations
10
h-index
TRR · 9 publications · 474 citations
9
h-index
7 publications · 265 citations
9
h-index
8 publications · 459 citations
8
h-index
1–5