Bryan Lewis

6.1k total citations · 2 hit papers
85 papers, 3.1k citations indexed

About

Bryan Lewis is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Bryan Lewis has authored 85 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Modeling and Simulation, 41 papers in Epidemiology and 23 papers in Infectious Diseases. Recurrent topics in Bryan Lewis's work include COVID-19 epidemiological studies (52 papers), Data-Driven Disease Surveillance (28 papers) and Influenza Virus Research Studies (21 papers). Bryan Lewis is often cited by papers focused on COVID-19 epidemiological studies (52 papers), Data-Driven Disease Surveillance (28 papers) and Influenza Virus Research Studies (21 papers). Bryan Lewis collaborates with scholars based in United States, United Kingdom and India. Bryan Lewis's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bryan Lewis

81 papers receiving 3.0k citations

Hit Papers

Commentary on Ferguson, et ... 2008 2026 2014 2020 2020 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bryan Lewis United States 24 1.8k 997 937 428 421 85 3.1k
Sen Pei United States 24 2.0k 1.1× 1.4k 1.4× 777 0.8× 393 0.9× 674 1.6× 116 4.3k
Samuel V. Scarpino United States 26 2.4k 1.3× 855 0.9× 1.0k 1.1× 445 1.0× 953 2.3× 67 4.8k
Kaiyuan Sun United States 17 2.5k 1.4× 1.1k 1.1× 738 0.8× 485 1.1× 1.1k 2.5× 28 4.0k
Chiara Poletto France 27 1.8k 1.0× 882 0.9× 677 0.7× 640 1.5× 544 1.3× 58 3.1k
Matteo Chinazzi United States 21 2.6k 1.4× 923 0.9× 776 0.8× 450 1.1× 1.2k 3.0× 37 4.2k
Jonathan M. Read United Kingdom 28 1.5k 0.8× 1.2k 1.2× 1.1k 1.1× 485 1.1× 250 0.6× 93 3.4k
Ana Pastore y Piontti United States 16 2.9k 1.6× 1.2k 1.2× 799 0.9× 581 1.4× 1.1k 2.7× 29 4.2k
Maria Litvinova United States 12 3.0k 1.6× 1.1k 1.1× 853 0.9× 361 0.8× 1.2k 2.9× 20 4.3k
Shweta Bansal United States 30 1.5k 0.8× 733 0.7× 763 0.8× 942 2.2× 264 0.6× 118 3.9k
Huaiyu Tian China 28 2.0k 1.1× 1.7k 1.7× 982 1.0× 774 1.8× 859 2.0× 93 4.7k

Countries citing papers authored by Bryan Lewis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bryan Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Lewis. A scholar is included among the top collaborators of Bryan Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan Lewis. Bryan Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cui, Jiaming, Leo Lin, Eili Klein, et al.. (2024). Modeling relaxed policies for discontinuation of methicillin-resistant Staphylococcus aureus contact precautions. Infection Control and Hospital Epidemiology. 45(7). 833–838. 1 indexed citations
2.
Chen, Jiangzhuo, Parantapa Bhattacharya, Stefan Hoops, et al.. (2024). Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub. Epidemics. 48. 100779–100779. 2 indexed citations
3.
Espinoza, Baltazar, Aniruddha Adiga, Srinivasan Venkatramanan, et al.. (2023). Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. Proceedings of the National Academy of Sciences. 120(48). e2305227120–e2305227120. 6 indexed citations
4.
Adiga, Aniruddha, Benjamin Hurt, Bryan Lewis, et al.. (2023). A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. 994–1005.
5.
Adiga, Aniruddha, Benjamin Hurt, Lijing Wang, et al.. (2022). Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. 2022 IEEE International Conference on Big Data (Big Data). 3 indexed citations
6.
Marathe, Achla, et al.. (2021). Potential impact of 5 years of ivermectin mass drug administration on malaria outcomes in high burden countries. BMJ Global Health. 6(11). e006424–e006424. 3 indexed citations
7.
Madden, Gregory R., Parantapa Bhattacharya, Bryan Lewis, et al.. (2021). 173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks. Open Forum Infectious Diseases. 8(Supplement_1). S104–S106. 1 indexed citations
8.
Eubank, Stephen, Irene Eckstrand, Bryan Lewis, et al.. (2020). Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”. Bulletin of Mathematical Biology. 82(4). 52–52. 718 indexed citations breakdown →
9.
Venkatramanan, Srinivasan, et al.. (2020). Methods for Rapid Mobility Estimation to Support Outbreak Response. Health Security. 18(1). 1–15. 5 indexed citations
10.
Chen, Jiangzhuo, Anil Vullikanti, Stefan Hoops, et al.. (2020). Medical costs of keeping the US economy open during COVID-19. Scientific Reports. 10(1). 18422–18422. 30 indexed citations
11.
Chakraborty, Prithwish, Bryan Lewis, Stephen Eubank, et al.. (2018). What to know before forecasting the flu. PLoS Computational Biology. 14(10). e1005964–e1005964. 11 indexed citations
12.
Adiga, Abhijin, Stephen Eubank, Bryan Lewis, et al.. (2018). Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study. BMJ Open. 8(1). e017353–e017353. 35 indexed citations
13.
Kuhlman, Chris J., Yihui Ren, Bryan Lewis, & James Schlitt. (2017). Hybrid agent-based modeling of Zika in the United States. Winter Simulation Conference. 1085–1096. 3 indexed citations
14.
Korkmaz, Gizem, et al.. (2015). Towards an in silico Experimental Platform for Air Quality: Houston, TX as a Case Study. VTechWorks (Virginia Tech). 2 indexed citations
15.
Lofgren, Eric, Caitlin Rivers, John M. Drake, et al.. (2014). Correction for Lofgren et al., Opinion: Mathematical models: A key tool for outbreak response. Proceedings of the National Academy of Sciences. 112(2). 2 indexed citations
16.
Chakraborty, Prithwish, Pejman Khadivi, Bryan Lewis, et al.. (2014). Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. 262–270. 51 indexed citations
17.
Parikh, Nidhi, Samarth Swarup, Caitlin Rivers, et al.. (2013). Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. Adaptive Agents and Multi-Agents Systems. 949–956. 11 indexed citations
18.
Lewis, Bryan, et al.. (2013). The application of macroergonomics and simulation to improve control of healthcare acquired infections. Winter Simulation Conference. 3938–3939. 1 indexed citations
19.
Nsoesie, Elaine O., Richard J. Beckman, Madhav Marathe, & Bryan Lewis. (2011). Prediction of an Epidemic Curve: A Supervised Classification Approach. PubMed. 3(1). 21 indexed citations
20.
Lewis, Bryan, et al.. (2009). Challenges in Technology Implementation for Learning Spaces in Higher Education. ˜The œEDUCAUSE quarterly/EDUCAUSE quarterly. 32(1). 1 indexed citations

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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