| Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe S Flaxman, S Mishra, A Gandy, HJT Unwin, TA Mellan, H Coupland, ... Nature 584 (7820), 257-261, 2020 | 4349* | 2020 |
| Assessing transmissibility of SARS-CoV-2 lineage B. 1.1. 7 in England E Volz, S Mishra, M Chand, JC Barrett, R Johnson, L Geidelberg, ... Nature 593 (7858), 266-269, 2021 | 1838* | 2021 |
| Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil NR Faria, TA Mellan, C Whittaker, IM Claro, DS Candido, S Mishra, ... Science 372 (6544), 815-821, 2021 | 1700 | 2021 |
| Age groups that sustain resurging COVID-19 epidemics in the United States M Monod, A Blenkinsop, X Xi, D Hebert, S Bershan, S Tietze, M Baguelin, ... Science 371 (6536), eabe8372, 2021 | 339 | 2021 |
| State-level tracking of COVID-19 in the United States HJT Unwin, S Mishra, VC Bradley, A Gandy, TA Mellan, H Coupland, ... Nature communications 11 (1), 6189, 2020 | 187 | 2020 |
| A Bayesian methodology for systemic risk assessment in financial networks A Gandy, LAM Veraart Management Science 63 (12), 4428-4446, 2017 | 170 | 2017 |
| Guaranteed conditional performance of control charts via bootstrap methods A Gandy, JT Kvaløy Scandinavian Journal of Statistics 40 (4), 647-668, 2013 | 167 | 2013 |
| Report 21: Estimating COVID-19 cases and reproduction number in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ... | 140 | 2020 |
| Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England S Mishra, S Mindermann, M Sharma, C Whittaker, TA Mellan, T Wilton, ... EClinicalMedicine 39, 2021 | 127 | 2021 |
| Have deaths from COVID-19 in Europe plateaued due to herd immunity? LC Okell, R Verity, OJ Watson, S Mishra, P Walker, C Whittaker, ... The Lancet 395 (10241), e110-e111, 2020 | 104 | 2020 |
| Sequential implementation of Monte Carlo tests with uniformly bounded resampling risk A Gandy Journal of the American Statistical Association 104 (488), 1504-1511, 2009 | 86 | 2009 |
| Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling S Mishra, JA Scott, DJ Laydon, S Flaxman, A Gandy, TA Mellan, ... Scientific Reports 11 (1), 1-9, 2021 | 65 | 2021 |
| Importance subsampling: improving power system planning under climate-based uncertainty AP Hilbers, DJ Brayshaw, A Gandy Applied Energy 251, 113114, 2019 | 65 | 2019 |
| On goodness‐of‐fit tests for Aalen's additive risk model A Gandy, UWE Jensen Scandinavian Journal of Statistics 32 (3), 425-445, 2005 | 49 | 2005 |
| Report 20: Using mobility to estimate the transmission intensity of COVID-19 in Italy: A subnational analysis with future scenarios MAC Vollmer, S Mishra, HJT Unwin, A Gandy, TA Mellan, V Bradley, ... MedRxiv, 2020.05. 05.20089359, 2020 | 48 | 2020 |
| Risk-adjusted monitoring of time to event A Gandy, JT Kvaløy, A Bottle, F Zhou Biometrika 97 (2), 375-388, 2010 | 47 | 2010 |
| A non‐parametric approach to software reliability A Gandy, U Jensen Applied Stochastic Models in Business and Industry 20 (1), 3-15, 2004 | 46 | 2004 |
| Risk assessment and evaluation of predictions G Satten, T Cai, A Gandy Springer, 2013 | 44 | 2013 |
| Adjustable network reconstruction with applications to CDS exposures A Gandy, LAM Veraart Journal of Multivariate Analysis 172, 193-209, 2019 | 43 | 2019 |
| Semi-mechanistic Bayesian modelling of COVID-19 with renewal processes S Bhatt, N Ferguson, S Flaxman, A Gandy, S Mishra, JA Scott Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | 42 | 2023 |
Seth Flaxmanassociate professor at OxfordE-mailová adresa ověřena na: cs.ox.ac.uk