Bryan Lewis
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies 52
- Infectious Diseases top 1%
- Viral Infections and Outbreaks Research 12
- Epidemiology top 5%
- Data-Driven Disease Surveillance 28
- Influenza Virus Research Studies 21
- Health top 5%
- Vaccine Coverage and Hesitancy 7
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 5
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- COVID-19 Pandemic Impacts 7
- Co-authors
- Madhav MaratheStephen EubankSrinivasan VenkatramananChristopher L. BarrettIrene EckstrandCaitlin RiversAnil VullikantiEric Lofgren
- Journals
- Epidemics (5 papers)PLoS Computational Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Bryan Lewis
81 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Modeling and Simulation 1.8k
- Infectious Diseases 997
- Epidemiology 937
- Health 210
- Statistical and Nonlinear Physics 288
Countries citing papers authored by Bryan Lewis
This map shows the geographic impact of Bryan Lewis'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 Bryan Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Lewis more than expected).
Fields of papers citing papers by Bryan Lewis
This network shows the impact of papers produced by Bryan Lewis. 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 Bryan Lewis. The network helps show where Bryan Lewis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryan Lewis, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 1 | |
| 8 | Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”breakdown → | 2020 | 718 |
| 9 | 2020 | 5 | |
| 10 | 2020 | 30 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 35 | |
| 13 | 2017 | 3 | |
| 14 | Towards an in silico Experimental Platform for Air Quality: Houston, TX as a Case Study | 2015 | 2 |
| 15 | 2014 | 2 | |
| 16 | 2014 | 51 | |
| 17 | 2013 | 11 | |
| 18 | 2013 | 1 | |
| 19 | 2011 | 21 | |
| 20 | Challenges in Technology Implementation for Learning Spaces in Higher Education | 2009 | 1 |
About Bryan Lewis
Bryan Lewis is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Health and Transportation, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (52 papers), Data-Driven Disease Surveillance (28 papers), Influenza Virus Research Studies (21 papers), Viral Infections and Outbreaks Research (12 papers), COVID-19 Pandemic Impacts (7 papers), Vaccine Coverage and Hesitancy (7 papers), Complex Network Analysis Techniques (7 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Modeling and Simulation (1.8k citations), Infectious Diseases (997 citations), Epidemiology (937 citations), Health (210 citations) and Statistical and Nonlinear Physics (288 citations). Bryan Lewis has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Madhav Marathe, Stephen Eubank, Srinivasan Venkatramanan, Christopher L. Barrett, Irene Eckstrand, Caitlin Rivers, Anil Vullikanti, Eric Lofgren, Jiangzhuo Chen and Richard J. Beckman. Their work appears in journals such as Epidemics, PLoS Computational Biology, Proceedings of the National Academy of Sciences, BMC Infectious Diseases 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.