Stacy Patterson

1.9k citations
64 papers · 1.1k · h-index 17

Impact in

Papers in

Stacy Patterson

63 papers receiving 1.1k citations

Peers

Stacy Patterson
Comparison fields: 5 of 85
  • Computer Networks and Communications 736
  • Statistical and Nonlinear Physics 349
  • Geometry and Topology 73
  • Control and Systems Engineering 114
  • Information Systems 110
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Hung Nguyen Australia
Wenjiang Pei China
Robert W. Leland United States
Peter Grossman Australia
Pedro Pintó Portugal
Nader Motee United States
Xiaowei Jiang China
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Airlie Chapman United States
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Citations per year

Countries citing papers authored by Stacy Patterson

Since Specialization
Citations

This map shows the geographic impact of Stacy Patterson'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 Stacy Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacy Patterson more than expected).

Fields of papers citing papers by Stacy Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacy Patterson. 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 Stacy Patterson. The network helps show where Stacy Patterson may publish in the future.

Co-authors

The 25 scholars most cited alongside Stacy Patterson, 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 Stacy Patterson Line = papers co-authored together Stacy Patterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
1Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback
2016140
2 2010112
3 2010105
4 201480
5 201454
6 200752
7 201248
8 201839
9 200836
10 201133
11 200631
12 201624
13 202324
14 202322
15 201321
16 202117
17 202216
18 201816
19 201715
20 201015

About Stacy Patterson

Stacy Patterson is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (21 papers), Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (13 papers), Distributed systems and fault tolerance (9 papers), Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers), Neural Networks Stability and Synchronization (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Computer Networks and Communications (736 citations), Statistical and Nonlinear Physics (349 citations), Geometry and Topology (73 citations), Control and Systems Engineering (114 citations) and Information Systems (110 citations). Stacy Patterson has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Bassam Bamieh, Amr El Abbadi, Mihailo R. Jovanović, Partha P. Mitra, Yuhao Yi, Carlos A. Varela, Yonina C. Eldar, Idit Keidar, Zhongzhi Zhang and Shigeru Imai. Their work appears in journals such as IEEE Transactions on Control of Network Systems, IEEE Transactions on Information Theory, Science of Computer Programming, IEEE Robotics and Automation Letters and IEEE Aerospace and Electronic Systems Magazine.

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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