Chris Barrett
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
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- Cellular Automata and Applications
Papers in ⓘ
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- COVID-19 epidemiological studies 12
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- Cellular Automata and Applications 10
- Co-authors
- Madhav Marathe (31 shared papers)Stephen Eubank (9 shared papers)Achla Marathe (16 shared papers)Henning Mortveit (9 shared papers)Christian M. Reidys (5 shared papers)Bryan Lewis (10 shared papers)Anil Vullikanti (5 shared papers)James P. Smith (1 shared paper)
- Journals
- Theoretical Computer Science (4 papers)Applied Mathematics and Computation (4 papers)Scientific Reports (2 papers)Acta Neurochirurgica (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Chris Barrett
78 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 567
- Computational Theory and Mathematics 296
- Statistical and Nonlinear Physics 211
- Transportation 87
- Computer Networks and Communications 284
Countries citing papers authored by Chris Barrett
This map shows the geographic impact of Chris Barrett'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 Chris Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Barrett more than expected).
Fields of papers citing papers by Chris Barrett
This network shows the impact of papers produced by Chris Barrett. 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 Chris Barrett. The network helps show where Chris Barrett may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Barrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling targeted layered containment of an influenza pandemic in the United States Hit paper breakdown → | 2008 | 473 |
| 2 | 2005 | 104 | |
| 3 | 2000 | 97 | |
| 4 | 2002 | 86 | |
| 5 | 1999 | 65 | |
| 6 | 2000 | 62 | |
| 7 | 2010 | 49 | |
| 8 | 2001 | 49 | |
| 9 | 2013 | 48 | |
| 10 | 2014 | 43 | |
| 11 | 2021 | 39 | |
| 12 | 2002 | 39 | |
| 13 | 2010 | 39 | |
| 14 | 2007 | 37 | |
| 15 | 2003 | 34 | |
| 16 | 2004 | 32 | |
| 17 | 2003 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2010 | 26 |
About Chris Barrett
Chris Barrett is a scholar working on Modeling and Simulation, Computational Theory and Mathematics, Management Science and Operations Research, Statistical and Nonlinear Physics and Finance, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Cellular Automata and Applications (10 papers), Mobile Ad Hoc Networks (6 papers), Opinion Dynamics and Social Influence (6 papers), Complex Network Analysis Techniques (5 papers), DNA and Biological Computing (5 papers), Simulation Techniques and Applications (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Modeling and Simulation (567 citations), Computational Theory and Mathematics (296 citations), Statistical and Nonlinear Physics (211 citations), Transportation (87 citations) and Computer Networks and Communications (284 citations). Chris Barrett has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Madhav Marathe, Stephen Eubank, Achla Marathe, Henning Mortveit, Christian M. Reidys, Bryan Lewis, Anil Vullikanti, James P. Smith, Richard J. Beckman and Martin Drozda. Their work appears in journals such as Theoretical Computer Science, Applied Mathematics and Computation, Scientific Reports, Acta Neurochirurgica and PLoS ONE.
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.