| Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning S Milusheva, R Marty, G Bedoya, S Williams, E Resor, A Legovini PloS one 16 (2), e0244317, 2021 | 46 | 2021 |
| Effects of employer-sponsored health insurance costs on Social Security taxable wages G Burtless, S Milusheva Soc. Sec. Bull. 73, 83, 2013 | 32 | 2013 |
| Managing the spread of disease with mobile phone data S Milusheva Journal of Development Economics 147, 102559, 2020 | 28 | 2020 |
| Challenges and opportunities in accessing mobile phone data for COVID-19 response in developing countries S Milusheva, A Lewin, TB Gomez, D Matekenya, K Reid Data & Policy 3, e20, 2021 | 15 | 2021 |
| Effects of employer health costs on the trend and distribution of Social Security-taxable wages G Burtless, S Milusheva Center for Retirement Research at Boston College Working Paper, 2012 | 15 | 2012 |
| Assessing bias in smartphone mobility estimates in low income countries S Milusheva, D Bjorkegren, L Viotti Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021 | 13 | 2021 |
| Burden of road traffic injuries in Tanzania: one-year prospective study of consecutive patients in 13 multilevel health facilities HR Sawe, S Milusheva, K Croke, S Karpe, M Mohammed, JA Mfinanga Emergency medicine international 2021, 2021 | 10 | 2021 |
| Climate anomalies and international migration: A disaggregated analysis for West Africa F Martínez Flores, S Milusheva, AR Reichert Ruhr Economic Papers, 2021 | 10* | 2021 |
| Innovations in US infrastructure financing: An evaluation B Bosworth, S Milusheva Washington, Brookings, 2011 | 10 | 2011 |
| Epidemiology of adult trauma injuries in Malawi: results from a multisite trauma registry L Chokotho, K Croke, M Mohammed, W Mulwafu, J Bertfelt, S Karpe, ... Injury epidemiology 9 (1), 14, 2022 | 9 | 2022 |
| Implementation of a multi‐center digital trauma registry: Experience in district and central hospitals in Malawi K Croke, L Chokotho, S Milusheva, J Bertfelt, S Karpe, M Mohammed, ... The International Journal of Health Planning and Management 35 (5), 1157-1172, 2020 | 8 | 2020 |
| Using Mobile Phone Data to Reduce Spread of Disease S Milusheva World Bank Policy Research Working Paper, 2020 | 8 | 2020 |
| Can crowdsourcing create the missing crash data? S Milusheva, R Marty, G Bedoya, E Resor, S Williams, A Legovini Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable …, 2020 | 6 | 2020 |
| Less bite for your buck: using cell phone data to target disease prevention S Milusheva Working Paper, 2017 | 6 | 2017 |
| Pediatric trauma burden in Tanzania: analysis of prospective registry data from thirteen health facilities HR Sawe, S Milusheva, K Croke, S Karpe, JA Mfinanga Injury epidemiology 9 (1), 3, 2022 | 5 | 2022 |
| Household Recombination, Retrospective Evaluation, and Educational Mobility over 40 Years A Foster, S Milusheva 2017 International Population Conference, 2017 | 4 | 2017 |
| Conscientiousness and Labor Market Returns M Allemand, M Kirchberger, S Milusheva, C Newman, B Roberts, ... World Bank, Washington, DC, 2023 | 3 | 2023 |
| Scale matters: Variations in spatial and temporal patterns of epidemic outbreaks in agent-based models S Wise, S Milusheva, S Ayling, RM Smith Journal of Computational Science 69, 101999, 2023 | 2 | 2023 |
| Fall injuries in Sub-Saharan Africa: analysis of prospective injury registry from 23 health facilities in Malawi and Tanzania HR Sawe, W Mulwafu, L Chokotho, K Croke, R Chamanga, M Mohammed, ... BMC emergency medicine 23 (1), 42, 2023 | 2 | 2023 |
| The importance of scaling for an agent based model: An illustrative case study with COVID-19 in Zimbabwe S Wise, S Milusheva, S Ayling International Conference on Computational Science, 259-265, 2022 | 2 | 2022 |
