Michael M. Zavlanos

Computer Networks and Communications · 2007–2019

A researcher in the Science corpus: 6 papers; trusts 52 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 71 citations into it; #2,521 of 9,886 by trust here, #3,426 by citations
• Public Health, Environmental and Occupational Health — 13 citations into it
• Reinforcement Learning — 12 citations into it
• Mechanical Engineering — 11 citations into it; #5,149 of 8,300 by trust here, #6,237 by citations
• Artificial Intelligence — 9 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Management Science and Operations Research — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Michael M. Zavlanos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ali Jadbabaie
2. Yoonsoo Kim
3. George Pappas
4. Reza Olfati-Saber
5. Herbert G. Tanner
6. Jorge Cortés
7. Mehran Mesbahi
8. Mara de Gennaro
9. Richard S. Sutton
10. Jie Lin

Who trusts Michael M. Zavlanos overall

1. Magnus Egerstedt
2. Sébastien Motsch
3. George Pappas
4. Ulrich Münz
5. L. Wang
6. Eitan Tadmor
7. Yongcan Cao
8. Antonis Papachristodoulou
9. X. Wang
10. Francesco Bullo

Papers from Michael M. Zavlanos's perspective

Ordered by how strongly the researchers Michael M. Zavlanos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Human-level control through deep reinforcement learning
6. Long Short-Term Memory
7. Consensus problems in networks of agents with switching topology and time-delays
8. Reinforcement Learning: An Introduction
9. Coordination of groups of mobile autonomous agents using nearest neighbor rules
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus (2019) — 51 citations
• Distributed continuous-time online optimization using saddle-point methods (2016) — 18 citations
• Graph-theoretic connectivity control of mobile robot networks (2011) — 434 citations
• Hybrid Control for Connectivity Preserving Flocking (2009) — 228 citations
• Potential Fields for Maintaining Connectivity of Mobile Networks (2007) — 372 citations
• Distributed connectivity control of mobile networks (2007) — 410 citations