Stacy Patterson

1.5k citations
56 papers · 880 · h-index 16

Impact in

Papers in

Stacy Patterson

55 papers receiving 854 citations

Peers

Stacy Patterson
Comparison fields: 5 of 81
  • Computer Networks and Communications 589
  • Statistical and Nonlinear Physics 277
  • Geometry and Topology 59
  • Information Systems 98
  • Computational Mechanics 64
Replace Pedro Pintó with:
Pedro Pintó Portugal
Tian Bu United States
Wenjiang Pei China
Alain Bretto France
Stojan Trajanovski Netherlands
Bahman Gharesifard United States
F. Wu United States
Do Young Eun United States
Xiuming Shan China
Stacy Patterson relative to Pedro Pintó Portugal Pedro Pintó's profile →
Citations per field
00.5×7.4×
Pedro Pintó · 1×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010107
2 2010101
3 201478
4 201450
5 200748
6 201839
7 200836
8 201236
9 201132
10 201624
11 200620
12 202319
13 201319
14 202318
15 202117
16 201815
17 202214
18 200814
19 201712
20 201811

About Stacy Patterson

Stacy Patterson is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 56 papers that have together received 880 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (18 papers), Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (12 papers), Distributed systems and fault tolerance (7 papers), Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Neural Networks Stability and Synchronization (5 papers). The work is most often cited by research in Computer Networks and Communications (589 citations), Statistical and Nonlinear Physics (277 citations), Geometry and Topology (59 citations), Information Systems (98 citations) and Computational Mechanics (64 citations). Stacy Patterson has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bassam Bamieh, Amr El Abbadi, Yuhao Yi, Zhongzhi Zhang, Yonina C. Eldar, Idit Keidar, Carlos A. Varela, Shigeru Imai, Divyakant Agrawal and Shiqiang Wang. Their work appears in journals such as IEEE Transactions on Control of Network Systems, IEEE Transactions on Information Theory, Science of Computer Programming, IEEE Transactions on Cybernetics and IEEE Transactions on Automatic Control.

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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