| Learning loss due to school closures during the COVID-19 pandemic P Engzell, A Frey, MD Verhagen Proceedings of the National Academy of Sciences 118 (17), e2022376118, 2021 | 1894* | 2021 |
| Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales MD Verhagen, DM Brazel, JB Dowd, I Kashnitsky, MC Mills BMC medicine 18 (1), 1-11, 2020 | 112* | 2020 |
| Costs and cost-effectiveness of hypertension screening and treatment in adults with hypertension in rural Nigeria in the context of a health insurance program NTA Rosendaal, ME Hendriks, MD Verhagen, OA Bolarinwa, EO Sanya, ... PloS one 11 (6), e0157925, 2016 | 44 | 2016 |
| The collateral damage to children’s education during lockdown P Engzell, A Frey, M Verhagen VOXeu CEPR Policy Portal, 2020 | 21 | 2020 |
| Pre-analysis plan for: Learning inequality during the COVID-19 pandemic P Engzell, A Frey, MD Verhagen Open Science Framework, 1-45, 2020 | 15 | 2020 |
| A pragmatist’s guide to using prediction in the social sciences M Verhagen Socius 8, 2022 | 14 | 2022 |
| Nowcasting daily population displacement in Ukraine through social media advertising data DR Leasure, R Kashyap, F Rampazzo, CA Dooley, B Elbers, ... Population and Development Review, 2023 | 11* | 2023 |
| Digital and Computational Demography R Kashyap, RG Rinderknecht, A Akbaritabar, D Alburez-Gutierrez, ... SocArXiv, 2022 | 11 | 2022 |
| The rise of machine learning in the academic social sciences C Rahal, M Verhagen, D Kirk AI & SOCIETY, 1-3, 2022 | 5* | 2022 |
| Identifying and Improving Functional Form Complexity: A Machine Learning Framework MD Verhagen SocArXiv, 2021 | 5* | 2021 |
| Knowledge similarity among founders and joiners: impact on venture scaleup in Fintech and Lawtech M Sako, M Qian, M Verhagen Academy of Management Proceedings 2022 (1), 17709, 2022 | 3 | 2022 |
| To predict and explain. How prediction improves our understanding of models: an application to the study of teacher bias. MD Verhagen SocArXiv, 2021 | 3* | 2021 |
| Scaling Up Firms in Entrepreneurial Ecosystems: Fintech and Lawtech Ecosystems Compared M Sako, M Qian, M Verhagen, R Parnham Available at SSRN 3520533, 2020 | 3 | 2020 |
| Computer age sociology M Verhagen University of Oxford, 2022 | 1 | 2022 |
| Incorporating Machine Learning into Sociological Model-building MD Verhagen SocArXiv. December 1, 2021 | 1 | 2021 |
| The law of attraction: How similarity between judges and lawyers helps win cases in the Hong Kong Court of Final Appeal MD Verhagen, J Yam International Review of Law and Economics 65, 105944, 2021 | 1 | 2021 |
| Socio‐economic factors associated with loss to follow‐up among individuals with HCV: A Dutch nationwide cross‐sectional study M van Dijk, A Boyd, SM Brakenhoff, CJ Isfordink, RA van Zoest, ... Liver International, 2023 | | 2023 |
| Using machine learning to study effect heterogeneity in large-scale policy interventions: The Dutch decentralisation of the Social Domain MD Verhagen | | 2023 |
| Using machine learning to monitor the equity of large-scale policy interventions: The Dutch decentralisation of the Social Domain MD Verhagen SocArXiv, 2023 | | 2023 |
| SOCIO-ECONOMIC FACTORS ASSOCIATED WITH BECOMING LOST TO FOLLOW-UP AND UNSUCCESSFUL RETRIEVAL FOR INDIVIDUALS WITH HEPATITIS C: RESULTS FROM A DUTCH NATIONWIDE CASE-CONTROL STUDY M van Dijk, CJ Isfordink, SM Brakenhoff, RA van Zoest, MD Verhagen, ... MICRO-ELIMINATION OF CHRONIC HEPATITIS C IN LOST TO FOLLOW-UP PATIENTS, 71, 2023 | | 2023 |
