Sen Pei
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
Papers in
-
- COVID-19 epidemiological studies 29
-
- Complex Network Analysis Techniques 26
- Co-authors
- Jeffrey L. Shaman (36 shared papers)Wan Yang (7 shared papers)Yimeng Song (1 shared paper)Ruiyun Li (1 shared paper)Bin Chen (1 shared paper)Hernán A. Makse (9 shared papers)Sasikiran Kandula (9 shared papers)Lev Muchnik (4 shared papers)
- Journals
- PLoS Computational Biology (10 papers)Nature Communications (8 papers)Physica A Statistical Mechanics and its Applications (7 papers)Proceedings of the National Academy of Sciences (6 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sen Pei
92 papers receiving 5.3k citations
Sen Pei's Hit Papers
Peers
Comparison fields: 5 of 168
- Modeling and Simulation 2k
- Statistical and Nonlinear Physics 916
- General Dentistry 30
- Infectious Diseases 941
- Public Health, Environmental and Occupational Health 554
Countries citing papers authored by Sen Pei
This map shows the geographic impact of Sen Pei'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 Sen Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Pei more than expected).
Fields of papers citing papers by Sen Pei
This network shows the impact of papers produced by Sen Pei. 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 Sen Pei. The network helps show where Sen Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Pei, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) Hit paper breakdown → | 2020 | 2546 |
| 2 | 2020 | 267 | |
| 3 | Searching for superspreaders of information in real-world social media | 2014 | 233 |
| 4 | 2013 | 210 | |
| 5 | Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Hit paper breakdown → | 2022 | 188 |
| 6 | 2013 | 165 | |
| 7 | 2021 | 142 | |
| 8 | 2018 | 127 | |
| 9 | 2021 | 108 | |
| 10 | 2015 | 55 | |
| 11 | 2018 | 52 | |
| 12 | 2020 | 52 | |
| 13 | 2016 | 51 | |
| 14 | 2021 | 49 | |
| 15 | 2018 | 46 | |
| 16 | 2020 | 46 | |
| 17 | 2013 | 45 | |
| 18 | 2023 | 41 | |
| 19 | 2017 | 35 | |
| 20 | 2018 | 32 |
About Sen Pei
Sen Pei is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 97 papers that have together received 5.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (29 papers), Complex Network Analysis Techniques (26 papers), Data-Driven Disease Surveillance (12 papers), Influenza Virus Research Studies (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Mosquito-borne diseases and control (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Infection Control in Healthcare (4 papers). The work is most often cited by research in Modeling and Simulation (2k citations), Statistical and Nonlinear Physics (916 citations), General Dentistry (30 citations), Infectious Diseases (941 citations) and Public Health, Environmental and Occupational Health (554 citations). Sen Pei has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeffrey L. Shaman, Wan Yang, Yimeng Song, Ruiyun Li, Bin Chen, Hernán A. Makse, Sasikiran Kandula, Lev Muchnik, Z. M. Zheng and Teresa K. Yamana. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Physica A Statistical Mechanics and its Applications, Proceedings of the National Academy of Sciences 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.