| Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world P Block, M Hoffman, IJ Raabe, JB Dowd, C Rahal, R Kashyap, MC Mills Nature Human Behaviour 4, 588–596, 2020 | 616 | 2020 |
| Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries JM Aburto, J Schöley, I Kashnitsky, L Zhang, C Rahal, TI Missov, MC Mills, ... International Journal of Epidemiology 51 (1), 63-74, 2022 | 441 | 2022 |
| A scientometric review of genome-wide association studies MC Mills, C Rahal Communications Biology 2 (1), 9, 2019 | 441 | 2019 |
| The GWAS Diversity Monitor tracks diversity by disease in real time MC Mills, C Rahal Nature Genetics 52 (3), 242-243, 2020 | 267 | 2020 |
| The decline and persistence of the old boy: Private schools and elite recruitment 1897 to 2016 A Reeves, S Friedman, C Rahal, M Flemmen American Sociological Review 82 (6), 1139-1166, 2017 | 193 | 2017 |
| Hidden heritability due to heterogeneity across seven populations FC Tropf, SH Lee, RM Verweij, G Stulp, PJ Van Der Most, R De Vlaming, ... Nature Human Behaviour 1 (10), 757-765, 2017 | 139 | 2017 |
| Housing markets and unconventional monetary policy C Rahal Journal of Housing Economics 32, 67-80, 2016 | 115 | 2016 |
| COVID-19 vaccine deployment: behaviour, ethics, misinformation and policy strategies M Mills, C Rahal, D Brazel, J Yan, S Gieysztor The Royal Society and The British Academy: A Rapid Review, 2020 | 92* | 2020 |
| Face masks and coverings for the general public: behavioural knowledge, effectiveness of cloth coverings and public messaging M Mills, C Rahal, E Akimova The Royal Society and The British Academy: A Rapid Review, 2020 | 39* | 2020 |
| The Rise of Machine Learning in the Academic Social Sciences C Rahal, MD Verhagen, D Kirk AI & Society, 1-4, 2022 | 14* | 2022 |
| The Keys to Unlocking Public Payments Data C Rahal Kyklos 71 (2), 310-337, 2018 | 13* | 2018 |
| Tools for Transparency in Central Government Spending C Rahal International Journal of Population Data Science 4 (1), 1-10, 2019 | 8 | 2019 |
| The role of the third sector in public health service provision: Evidence from 25,338 heterogeneous procurement datasets C Rahal, J Mohan Journal of the Royal Statistical Society: Series A, 1-22, 2024 | 6* | 2024 |
| Population Studies at 75 years: An empirical review MC Mills, C Rahal Population Studies 75, 7-25, 2021 | 6 | 2021 |
| InterModel Vigorish (IMV): A novel approach for quantifying predictive accuracy with binary outcomes B Domingue, C Rahal, J Faul, J Freese, K Kanopka, A Rigos, B Stenhaug, ... SocArXiv, 2021 | 6* | 2021 |
| The InterModel Vigorish as a lens for understanding (and quantifying) the value of item response models for dichotomously coded items BW Domingue, K Kanopka, R Kapoor, S Pohl, RP Chalmers, C Rahal, ... Psychometrika, 1-21, 2024 | 4 | 2024 |
| Large Language Models Predict Cognition and Education Close to or Better than Genomics or Expert Assessment T Wolfram, F Tropf, C Rahal SocArXiv, 1-48, 2023 | 4* | 2023 |
| Outsourcing of health-care services to the private sector by English clinical commissioning groups and mortality rates, 2013–20: an observational analysis B Goodair, A Reeves, C Rahal The Lancet 398, S49, 2021 | 4 | 2021 |
| The SHAPE of Research Impact S Wagner, C Rahal, A Spiers, LREFP Team, D Leasure, M Verhagen, L Li, ... The British Academy, 2024 | 1 | 2024 |
| A Guide to the StatFact EViews Add-in C Rahal Computational Economics, 1-6, 2015 | 1 | 2015 |
Melinda C. MillsUniversity of OxfordBestätigte E-Mail-Adresse bei sociology.ox.ac.uk
