| Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) R Li*, S Pei*, B Chen*, Y Song, T Zhang, W Yang, J Shaman Science 368 (6490), 489-493, 2020 | 3226 | 2020 |
| Searching for superspreaders of information in real-world social media S Pei, L Muchnik, JS Andrade Jr, Z Zheng, HA Makse Scientific reports 4, 5547, 2014 | 328 | 2014 |
| Spreading dynamics in complex networks S Pei, HA Makse Journal of Statistical Mechanics: Theory and Experiment 2013 (12), P12002, 2013 | 207 | 2013 |
| Origins of power-law degree distribution in the heterogeneity of human activity in social networks L Muchnik*, S Pei*, LC Parra*, SDS Reis, JS Andrade Jr, S Havlin, ... Scientific reports 3, 1783, 2013 | 203 | 2013 |
| Differential Effects of Intervention Timing on COVID-19 Spread in the United States S Pei, S Kandula, J Shaman Science Advances 6 (49), eabd6370, 2020 | 194 | 2020 |
| Forecasting the spatial transmission of influenza in the United States S Pei, S Kandula, W Yang, J Shaman Proceedings of the National Academy of Sciences 115 (11), 2752-2757, 2018 | 93 | 2018 |
| Acceptance and preference for COVID-19 vaccination in health-care workers (HCWs) C Fu, Z Wei, S Pei, S Li, X Sun, P Liu MedRxiv, 2020 | 77 | 2020 |
| Initial simulation of SARS-CoV2 spread and intervention effects in the continental US S Pei, J Shaman MedRxiv, 2020 | 62 | 2020 |
| Exploring the complex pattern of information spreading in online blog communities S Pei, L Muchnik, S Tang, Z Zheng, HA Makse PLoS ONE 10 (5), e0126894, 2015 | 52 | 2015 |
| The rumor diffusion process with emerging independent spreaders in complex networks W Li, S Tang, S Pei, S Yan, S Jiang, X Teng, Z Zheng Physica A: Statistical Mechanics and its Applications 397, 121-128, 2014 | 51 | 2014 |
| Efficient collective influence maximization in cascading processes with first-order transitions S Pei, X Teng, J Shaman, F Morone, HA Makse Scientific Reports 7, 45240, 2017 | 50 | 2017 |
| Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks X Teng, S Pei, F Morone, HA Makse Scientific reports 6, 36043, 2016 | 46 | 2016 |
| Theories for influencer identification in complex networks S Pei, F Morone, HA Makse Complex Spreading Phenomena in Social Systems, 125-148, 2018 | 41 | 2018 |
| A Spatiotemporal Tool to Project Hospital Critical Care Capacity and Mortality From COVID-19 in US Counties A Zebrowski, A Rundle, S Pei, T Yaman, W Yang, BG Carr, S Sims, ... American Journal of Public Health 111 (6), 1113-1122, 2021 | 36* | 2021 |
| How to enhance the dynamic range of excitatory-inhibitory excitable networks S Pei, S Tang, S Yan, S Jiang, X Zhang, Z Zheng Physical Review E 86 (2), 021909, 2012 | 36 | 2012 |
| Projection of COVID-19 cases and deaths in the US as individual states re-open May 4, 2020 T Yamana, S Pei, J Shaman MedRxiv, 2020 | 33 | 2020 |
| Evaluation of mechanistic and statistical methods in forecasting influenza-like illness S Kandula, T Yamana, S Pei, W Yang, H Morita, J Shaman Journal of The Royal Society Interface 15 (144), 20180174, 2018 | 32 | 2018 |
| Counteracting structural errors in ensemble forecast of influenza outbreaks S Pei, J Shaman Nature Communications 8, 925, 2017 | 31 | 2017 |
| The spreading of opposite opinions on online social networks with authoritative nodes S Yan, S Tang, S Pei, S Jiang, X Zhang, W Ding, Z Zheng Physica A: Statistical Mechanics and its Applications 392 (17), 3846-3855, 2013 | 26 | 2013 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, VK Lopez, J Niemi, GE George, JC Cegan, ID Dettwiller, ... medRxiv, 2021 | 23 | 2021 |
Jeffrey ShamanColumbia UniversityVerified email at columbia.edu
