Chris Barrett

78 papers receiving 1.6k citations

Hit Papers

Modeling targeted layered containment of an influenza pandemic in the United States 2008 · 473 citations
4732008202620142020100200300400

Peers

Chris Barrett
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
Replace Christopher L. Barrett with:
Christopher L. Barrett United States
V. S. Anil Kumar United States
Anil Vullikanti United States
Rong Yuan China
Jiangzhuo Chen United States
Víctor M. Preciado United States
George Milne Australia
Giulia Giordano Italy
Ricardo H. C. Takahashi Brazil
Achla Marathe United States
Chris Barrett relative to Christopher L. Barrett United States Christopher L. Barrett's profile →
Citations per field
00.5×1.5×2.4×
Christopher L. Barrett · 1×
Citations per year

Countries citing papers authored by Chris Barrett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chris Barrett Line = papers co-authored together Chris Barrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2008473
2 2005104
3 200097
4 200286
5 199965
6 200062
7 201049
8 200149
9 201348
10 201443
11 202139
12 200239
13 201039
14 200737
15 200334
16 200432
17 200331
18 201831
19 202030
20 201026

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.

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