| The use of machine learning in rare diseases: a scoping review J Schaefer, M Lehne, J Schepers, F Prasser, S Thun Orphanet journal of rare diseases 15, 1-10, 2020 | 180 | 2020 |
| ARX – A Comprehensive Tool for Anonymizing Biomedical Data F Prasser, F Kohlmayer, KA Kuhn Proceedings of the 2014 AMIA Annual Symposium, 2014 | 160 | 2014 |
| Putting statistical disclosure control into practice: The ARX data anonymization tool F Prasser, F Kohlmayer Medical data privacy handbook, 111-148, 2015 | 133 | 2015 |
| Data integration for future medicine (DIFUTURE) F Prasser, O Kohlbacher, U Mansmann, B Bauer, KA Kuhn Methods of information in medicine 57 (S 01), e57-e65, 2018 | 122 | 2018 |
| Flash: efficient, stable and optimal k-Anonymity F Kohlmayer, F Prasser, C Eckert, A Kemper, KA Kuhn Proceedings of the 2014 International Conference on Privacy, Security, Risk …, 2012 | 114 | 2012 |
| Flexible data anonymization using ARX—Current status and challenges ahead F Prasser, J Eicher, H Spengler, R Bild, KA Kuhn Software: Practice and Experience 50 (7), 1277-1304, 2020 | 111 | 2020 |
| Enhancing reuse of data and biological material in medical research: from FAIR to FAIR-health MM Th, M MartinGillian, SO Ugur, B van OmmenGertJan Biopreservation and biobanking, 2018 | 102 | 2018 |
| A flexible approach to distributed data anonymization F Kohlmayer, F Prasser, C Eckert, KA Kuhn Journal of biomedical informatics 50, 62-76, 2014 | 76 | 2014 |
| Safepub: A truthful data anonymization algorithm with strong privacy guarantees R Bild, KA Kuhn, F Prasser Proceedings on Privacy Enhancing Technologies, 2018 | 74 | 2018 |
| Privacy-preserving data sharing infrastructures for medical research: systematization and comparison FN Wirth, T Meurers, M Johns, F Prasser BMC Medical Informatics and Decision Making 21, 1-13, 2021 | 72 | 2021 |
| Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19 CEM Jakob, F Kohlmayer, T Meurers, JJ Vehreschild, F Prasser Scientific data 7 (1), 435, 2020 | 60 | 2020 |
| Lightning: Utility-Driven Anonymization of High-Dimensional Data. F Prasser, R Bild, J Eicher, H Spengler, F Kohlmayer, KA Kuhn Trans. Data Priv. 9 (2), 161-185, 2016 | 57 | 2016 |
| The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss F Kohlmayer, F Prasser, KA Kuhn Journal of biomedical informatics 58, 37-48, 2015 | 57 | 2015 |
| The Data Use Ontology to streamline responsible access to human biomedical datasets J Lawson, MN Cabili, G Kerry, T Boughtwood, A Thorogood, P Alper, ... Cell Genomics 1 (2), 2021 | 56 | 2021 |
| Ethical use of electronic health record data and artificial intelligence: recommendations of the primary care informatics working group of the international medical informatics … ST Liaw, H Liyanage, C Kuziemsky, AL Terry, R Schreiber, ... Yearbook of medical informatics 29 (01), 051-057, 2020 | 50 | 2020 |
| Citizen-centered mobile health apps collecting individual-level spatial data for infectious disease management: scoping review FN Wirth, M Johns, T Meurers, F Prasser JMIR mHealth and uHealth 8 (11), e22594, 2020 | 48 | 2020 |
| The importance of context: Risk-based de-identification of biomedical data F Prasser, F Kohlmayer, KA Kuhn Methods of information in medicine 55 (04), 347-355, 2016 | 47 | 2016 |
| SCOR: A secure international informatics infrastructure to investigate COVID-19 JL Raisaro, F Marino, J Troncoso-Pastoriza, R Beau-Lejdstrom, R Bellazzi, ... Journal of the American Medical Informatics Association, 1-14, 2020 | 44 | 2020 |
| A scalable and pragmatic method for the safe sharing of high-quality health data F Prasser, F Kohlmayer, H Spengler, KA Kuhn IEEE journal of biomedical and health informatics 22 (2), 611-622, 2017 | 41 | 2017 |
| Efficient distributed query processing for autonomous RDF databases F Prasser, A Kemper, KA Kuhn Proceedings of the 15th International Conference on Extending Database …, 2012 | 39 | 2012 |
