Stephen Eubank

13.2k citations
119 papers · 9.5k · 4 hit papers · h-index 33

Impact in

Papers in

Stephen Eubank

117 papers receiving 9.0k citations

Stephen Eubank's Hit Papers

Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand” 2020 · 727 citations
7270+11+22Years since publication10002.0k3.0k

Peers

Stephen Eubank
Comparison fields: 5 of 197
  • Modeling and Simulation 2.5k
  • Statistical and Nonlinear Physics 2.6k
  • Transportation 486
  • Economics and Econometrics 1.8k
  • Cognitive Neuroscience 1.2k
Replace Alain Barrat with:
Alain Barrat France
Vittoria Colizza France
Dirk Brockmann Germany
José J. Ramasco Spain
Michael Small Australia
Piet Van Mieghem Netherlands
Madhav Marathe United States
León Danon United Kingdom
Ciro Cattuto Italy
Richard L. Tweedie United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Eubank

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Eubank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Testing for nonlinearity in time series: the method of surrogate data
Hit paper breakdown →
19923022
2
Modelling disease outbreaks in realistic urban social networks
Hit paper breakdown →
20041530
3
Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”
Hit paper breakdown →
2020727
4
Modeling targeted layered containment of an influenza pandemic in the United States
Hit paper breakdown →
2008503
5 1991426
6 2015195
7 2008168
8 1992159
9 2014156
10 2007146
11 2003141
12
Using Surrogate Data to Detect Nonlinearity in Time Series
1991132
13 2008132
14 2005131
15 2011104
16 201389
17 201273
18 201472
19 201470
20 201066

About Stephen Eubank

Stephen Eubank is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Infectious Diseases, Epidemiology and Immunology, having authored 119 papers that have together received 9.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (35 papers), Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (18 papers), Immune Cell Function and Interaction (10 papers), Influenza Virus Research Studies (9 papers), Viral Infections and Outbreaks Research (8 papers), Data-Driven Disease Surveillance (7 papers) and Complex Systems and Time Series Analysis (7 papers). The work is most often cited by research in Modeling and Simulation (2.5k citations), Statistical and Nonlinear Physics (2.6k citations), Transportation (486 citations), Economics and Econometrics (1.8k citations) and Cognitive Neuroscience (1.2k citations). Stephen Eubank has collaborated with scholars based in United States, India and Russia. Frequent co-authors include J. Doyne Farmer, James Theiler, B. Galdrikian, André Longtin, Madhav Marathe, Bryan Lewis, Aravind Srinivasan, Nan Wang, V. S. Anil Kumar and Hasan Güçlü. Their work appears in journals such as PLoS ONE, Scientific Reports, The Journal of Immunology, Proceedings of the National Academy of Sciences and PLoS Currents.

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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