Chris Barrett
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
-
- Cellular Automata and Applications
Papers in
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- Cellular Automata and Applications 11
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- Mobile Ad Hoc Networks 7
- Opportunistic and Delay-Tolerant Networks 5
- Co-authors
- Madhav Marathe (40 shared papers)Stephen Eubank (12 shared papers)Achla Marathe (18 shared papers)Henning Mortveit (7 shared papers)Christian M. Reidys (5 shared papers)Riko Jacob (3 shared papers)James P. Smith (1 shared paper)Bryan Lewis (9 shared papers)
- Journals
- Theoretical Computer Science (4 papers)Applied Mathematics and Computation (4 papers)Acta Neurochirurgica (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
Chris Barrett
91 papers receiving 2.0k citations
Chris Barrett's Hit Papers
Peers
Comparison fields: 5 of 154
- Modeling and Simulation 522
- Computational Theory and Mathematics 382
- Statistical and Nonlinear Physics 281
- Transportation 140
- Computer Networks and Communications 371
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 112 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 | 503 |
| 2 | 2000 | 131 | |
| 3 | 2005 | 131 | |
| 4 | 2002 | 96 | |
| 5 | 1999 | 77 | |
| 6 | 2000 | 75 | |
| 7 | 2006 | 59 | |
| 8 | 2001 | 59 | |
| 9 | 2010 | 53 | |
| 10 | 2013 | 50 | |
| 11 | 2010 | 49 | |
| 12 | 2007 | 48 | |
| 13 | 2014 | 43 | |
| 14 | 2003 | 43 | |
| 15 | 2021 | 41 | |
| 16 | 2002 | 41 | |
| 17 | 2002 | 39 | |
| 18 | 2018 | 36 | |
| 19 | 2003 | 36 | |
| 20 | 2008 | 35 |
About Chris Barrett
Chris Barrett is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research, Molecular Biology and Statistical and Nonlinear Physics, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cellular Automata and Applications (11 papers), COVID-19 epidemiological studies (10 papers), Opinion Dynamics and Social Influence (9 papers), Mobile Ad Hoc Networks (7 papers), Complex Network Analysis Techniques (7 papers), Algorithms and Data Compression (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Simulation Techniques and Applications (5 papers). The work is most often cited by research in Modeling and Simulation (522 citations), Computational Theory and Mathematics (382 citations), Statistical and Nonlinear Physics (281 citations), Transportation (140 citations) and Computer Networks and Communications (371 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, Riko Jacob, James P. Smith, Bryan Lewis, Anil Vullikanti and Christian M. Reidys. Their work appears in journals such as Theoretical Computer Science, Applied Mathematics and Computation, Acta Neurochirurgica, Scientific Reports 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.