Michael Rabbat

11.5k citations
121 papers · 5.3k indexed · 5 hit papers · h-index 36

Michael Rabbat

118 papers receiving 5.1k citations

Hit Papers

Self-Supe...1172004202620112018100200300400500

Peers

Michael Rabbat
Comparison fields: 5 of 156
  • Computer Networks and Communications 2.9k
  • Transportation 407
  • Computational Mechanics 1.1k
  • Artificial Intelligence 1.6k
  • Statistical and Nonlinear Physics 491
Replace Mark Coates with:
Mark Coates Canada
Richard H. Middleton Australia
Hairong Qi United States
Antonios Tsourdos United Kingdom
Anna Scaglione United States
Zhiguo Shi China
Lance Kaplan United States
T. Aaron Gulliver Canada
Sunil K. Narang United States
Guoru Ding China
Michael Rabbat relative to Mark Coates Canada Mark Coates's profile →
Citations per field
00.5×4.0×
Mark Coates · 1×
Citations per year

Countries citing papers authored by Michael Rabbat

Since Specialization
Citations

This map shows the geographic impact of Michael Rabbat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Rabbat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Rabbat more than expected).

Fields of papers citing papers by Michael Rabbat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Rabbat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Rabbat. The network helps show where Michael Rabbat may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael Rabbat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Rabbat Line = papers co-authored together Michael Rabbat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202154
2
SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
20209
3
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
20192
4 2018142
5 201882
6 201519
7 20147
8
How Does Land-Use and Urban Form Impact Bicycle Flows--Evidence from the Bicycle-Sharing System (BIXI) in Montreal
201413
9
Efficient Distributed Online Prediction and Stochastic Optimization with Approximate Distributed Mini-Batches
20143
10
Simple iteration-optimal distributed optimization
20131
11 20110
12
Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements
201184
13 201150
14 20118
15
Selective Gossip
200911
16
Multi-hop Greedy Gossip with Eavesdropping
20091
17
Learning Bigrams from Unigrams
20085
18 20061
19 200463
20
RICE UNIVERSITY Multiple Source Network Tomography
20030

About Michael Rabbat

Michael Rabbat is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 121 papers that have together received 5.3k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (44 papers), Distributed Sensor Networks and Detection Algorithms (19 papers), Cooperative Communication and Network Coding (18 papers), Complex Network Analysis Techniques (16 papers), Sparse and Compressive Sensing Techniques (15 papers), Energy Efficient Wireless Sensor Networks (15 papers), Target Tracking and Data Fusion in Sensor Networks (13 papers) and Indoor and Outdoor Localization Technologies (12 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Transportation (407 citations) and Computational Mechanics (1.1k citations). Michael Rabbat has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Robert D. Nowak, Mark Coates, Konstantinos I. Tsianos, Jarvis Haupt, Sean Lawlor, Tuncer C. Aysal, Waheed U. Bajwa, Naveen Eluru, Ahmed El-Geneidy and Ahmadreza Faghih-Imani. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, IEEE Journal of Selected Topics in Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Mobile Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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