The Impact of School Opening Model on SARS-CoV-2 Community Incidence and Mortality: A Nationwide Cohort Study
Zeynep Ertem, Elissa Schechter-Perkins, Emily Oster et al. The Impact of School Opening Model on SARS-CoV-2 Community Incidence and Mortality: A Nationwide Cohort Study, 15 July 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-712725/v1]
Identifying climatological interactions in global influenza across temperate and tropical
regions
Du, Z*., Ertem, Z., Li, Z., Tan, X., Zhao X., Bai, Y., Tian X. 2020 International
Conference on Mobile Wireless Middleware, Operating Systems, and Applications (pp.
98-103). Springer, Cham. (Impact Factor: 2.62).
Inter-urban interactions of mobility via cellular position tracking in the southeast Songliao Basin, Northeast China Du, Z., Yang, Y., Ertem, Z., Gao, C., Huang, L., Huang, Q., Bai, Y. 2019 Scientific Data (Impact Factor: 5.30).
Scientific insights into Physarum-based modelling: Comment on ``Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations by C. Gao et al. Du, Z., Cai, Q., Ertem, Z., Bai, Y. Physics of Life Reviews, January 2019 (Impact Factor: 9.47).
On the Multi-source Influenza Forecasting: A Bayesian Approach Ertem, Z., Raymond, D., Meyers, L.A., PLOS Computational Biology, September 2018 (Impact Factor: 4.55.
The Maximum Independent Union of Cliques Problem: Complexity and Exact Approaches Ertem, Z., Lykhovyd, E., Wang, Y., Butenko, S. Journal of Global Optimization, July 2018 (Impact Factor: 1.74).
Scale Reduction Techniques for Computing Maximum Induced Bicliques Shahinpour, S., Shirvani, S.,Ertem, Z., Butenko, S., Algorithms, October 2017 (Impact Factor: 1.44).
Detecting Large Cohesive Subgroups with High Clustering Coefficients Ertem, Z., Veremyev, A., Butenko, S.Social Networks, July 2016 (Impact Factor: 3.57).
Demographic Breakdown of Twitter Users: An analysis based on names Oktay, H., Firat, A., Ertem, Z.Proceedings of the Sixth ASE International Conference on Social Computing. May 2014, Stanford,CA (Impact Factor: 2.77).