| A systematic review of re-identification attacks on health data K El Emam, E Jonker, L Arbuckle, B Malin PloS one 6 (12), e28071, 2011 | 458 | 2011 |
| Anonymizing health data: case studies and methods to get you started K El Emam, L Arbuckle " O'Reilly Media, Inc.", 2013 | 195 | 2013 |
| Ethics and privacy implications of using the internet and social media to recruit participants for health research: A privacy-by-design framework for online recruitment JL Bender, AB Cyr, L Arbuckle, LE Ferris Journal of medical Internet research 19 (4), e104, 2017 | 163 | 2017 |
| De-identification methods for open health data: the case of the Heritage Health Prize claims dataset K El Emam, L Arbuckle, G Koru, B Eze, L Gaudette, E Neri, S Rose, ... Journal of medical Internet research 14 (1), e33, 2012 | 92 | 2012 |
| A secure distributed logistic regression protocol for the detection of rare adverse drug events K El Emam, S Samet, L Arbuckle, R Tamblyn, C Earle, M Kantarcioglu Journal of the American Medical Informatics Association 20 (3), 453-461, 2013 | 73 | 2013 |
| A unified framework for evaluating the risk of re-identification of text de-identification tools M Scaiano, G Middleton, L Arbuckle, V Kolhatkar, L Peyton, M Dowling, ... Journal of biomedical informatics 63, 174-183, 2016 | 37 | 2016 |
| A review of evidence on consent bias in research KE Emam, E Jonker, E Moher, L Arbuckle The American Journal of Bioethics 13 (4), 42-44, 2013 | 36 | 2013 |
| The five safes of risk-based anonymization L Arbuckle, F Ritchie IEEE Security & Privacy 17 (5), 84-89, 2019 | 28 | 2019 |
| Building an anonymization pipeline: creating safe data L Arbuckle, K El Emam O'Reilly Media, 2020 | 25 | 2020 |
| Two h-index benchmarks for evaluating the publication performance of medical informatics researchers K El Emam, L Arbuckle, E Jonker, K Anderson Journal of Medical Internet Research 14 (5), e2177, 2012 | 21 | 2012 |
| Ethical considerations for participatory health through social media: healthcare workforce and policy maker perspectives O Rivera-Romero, S Konstantinidis, K Denecke, E Gabarrón, C Petersen, ... Yearbook of medical informatics 29 (01), 071-076, 2020 | 17 | 2020 |
| Re-identification risk measurement estimation of a dataset M Scaiano, S Korte, A Baker, G Green, K El Emam, L Arbuckle US Patent 10,685,138, 2020 | 17 | 2020 |
| System and method for shifting dates in the de-identification of datasets K El Emam, L Arbuckle, B Eze, G Green US Patent 9,773,124, 2017 | 15 | 2017 |
| Method of re-identification risk measurement and suppression on a longitudinal dataset A Baker, L Arbuckle, K El Emam, B Eze, S Korte, S Rose, C Ilie US Patent 9,990,515, 2018 | 14 | 2018 |
| Secure surveillance of antimicrobial resistant organism colonization or infection in Ontario long term care homes K El Emam, L Arbuckle, A Essex, S Samet, B Eze, G Middleton, ... PLoS One 9 (4), e93285, 2014 | 13 | 2014 |
| Correction: a systematic review of re-identification attacks on health data K El Emam, E Jonker, L Arbuckle, B Malin PLoS One 10 (4), e0126772, 2015 | 11 | 2015 |
| P2P watch: personal health information detection in peer-to-peer file-sharing networks M Sokolova, K El Emam, L Arbuckle, E Neri, S Rose, E Jonker Journal of medical internet research 14 (4), e95, 2012 | 9 | 2012 |
| De-identification: a critical debate K El Emam, L Arbuckle Future of Privacy Forum, 2014 | 5 | 2014 |
| The Seven States of Data: When is Pseudonymous Data Not Personal Information? K El Emam, E Gratton, J Polonetsky, L Arbuckle Journal of Science & Technology 24 (1), 2013 | 5 | 2013 |
| Sharing Anonymized and Functionally Effective (SAFE) data standard for safely sharing rich clinical trial data S Bamford, S Lyons, L Arbuckle, P Chetelat MJH Life Sciences, 2022 | 4 | 2022 |
