Stephen Eubank
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies 33
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques 22
- Opinion Dynamics and Social Influence 9
- Transportation top 1%
- Economics and Econometrics top 0.5%
- COVID-19 Pandemic Impacts 5
- Cognitive Neuroscience top 2%
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- Influenza Virus Research Studies 11
- Data-Driven Disease Surveillance 5
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- Immune Cell Function and Interaction 9
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- Viral Infections and Outbreaks Research 7
- Co-authors
- J. Doyne FarmerJames TheilerB. GaldrikianAndré LongtinMadhav MaratheBryan LewisAravind SrinivasanV. S. Anil Kumar
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Stephen Eubank
96 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Modeling and Simulation 2.5k
- Statistical and Nonlinear Physics 2.3k
- Transportation 439
- Economics and Econometrics 1.8k
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Stephen Eubank
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”breakdown → | 2020 | 718 |
| 3 | 2020 | 30 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 11 | |
| 6 | 2018 | 35 | |
| 7 | 2017 | 1 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 11 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 1 | |
| 12 | PPAR{gamma} activation drives Th17 cells into a Treg phenotype | 2012 | 1 |
| 13 | 2012 | 65 | |
| 14 | 2012 | 25 | |
| 15 | 2008 | 146 | |
| 16 | An interaction-based approach to computational epidemiology | 2008 | 14 |
| 17 | What Makes a Simulation Useful | 1999 | 3 |
| 18 | Probabilistic Parsing of Unrestricted English Text, With a I-Iighly-Detailed Grammar | 1997 | 3 |
| 19 | Nonlinear modeling and forecasting : proceedings of the Workshop on Nonlinear Modeling and Forecasting held September, 1990, in Sante Fe, New Mexico | 1992 | 3 |
| 20 | Using Surrogate Data to Detect Nonlinearity in Time Series | 1991 | 121 |
About Stephen Eubank
Stephen Eubank is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Applied Microbiology and Biotechnology, Infectious Diseases and Transportation, having authored 98 papers that have together received 8.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (33 papers), Complex Network Analysis Techniques (22 papers), Influenza Virus Research Studies (11 papers), Immune Cell Function and Interaction (9 papers), Opinion Dynamics and Social Influence (9 papers), Viral Infections and Outbreaks Research (7 papers), COVID-19 Pandemic Impacts (5 papers) and Data-Driven Disease Surveillance (5 papers). The work is most often cited by research in Modeling and Simulation (2.5k citations), Statistical and Nonlinear Physics (2.3k citations), Transportation (439 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 United Kingdom. Frequent co-authors include J. Doyne Farmer, James Theiler, B. Galdrikian, André Longtin, Madhav Marathe, Bryan Lewis, Aravind Srinivasan, V. S. Anil Kumar, Zoltán Toroczkai and Nan Wang. 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.