| Two-stage stochastic programming in disaster management: A literature survey E Grass, K Fischer Surveys in Operations Research and Management Science 21 (2), 85-100, 2016 | 157 | 2016 |
| The challenges of cybersecurity in health care: the UK National Health Service as a case study S Ghafur, E Grass, NR Jennings, A Darzi The Lancet Digital Health 1 (1), e10-e12, 2019 | 109 | 2019 |
| An accelerated L-shaped method for solving two-stage stochastic programs in disaster management E Grass, K Fischer, A Rams Annals of Operations Research 284, 557-582, 2020 | 29 | 2020 |
| Developing a globally applicable cybersecurity framework for healthcare: a Delphi consensus study N O'Brien, E Grass, G Martin, M Durkin, A Darzi, S Ghafur BMJ Innovations 7 (1), 2021 | 14 | 2021 |
| Improving cyber security in the NHS S Ghafur, G Fontana, G Martin, E Grass, J Goodman, A Darzi Institute of Global Health Innovation, Imperial College London, 2019 | 13 | 2019 |
| A machine learning approach to deal with ambiguity in the humanitarian decision‐making E Grass, J Ortmann, B Balcik, W Rei Production and Operations Management 32 (9), 2956-2974, 2023 | 9 | 2023 |
| Prepositioning of relief items under uncertainty: A classification of modeling and solution approaches for disaster management E Graß, K Fischer Logistics Management: Contributions of the Section Logistics of the German …, 2015 | 9 | 2015 |
| Cybersecurity in healthcare: Comparing cybersecurity maturity and experiences across global healthcare organizations N O'Brien, G Martin, E Grass, M Durkin, A Darzi, S Ghafur Available at SSRN 3688885, 2020 | 7 | 2020 |
| Two-stage stochastic programming in disaster management: a literature survey. Surveys in Operations Research and Management Science, 21 (2), 85-100 E Grass, K Fischer | 6 | 2016 |
| Safeguarding our healthcare systems: a global framework for cybersecurity N O'Brien, G Martin, E Grass, M Durkin, S Ghafur Forum Reports. Doha, Qatar. World Innovation Summit for Health, 2020 | 4 | 2020 |
| Characteristics of crowd disaster: Database construction and pattern identification X Yang, Y Liu, A Majumdar, E Grass, W Ochieng International Journal of Disaster Risk Reduction 111, 104653, 2024 | 2 | 2024 |
| An accelerated solution method for two-stage stochastic models in disaster management E Graß Springer, 2019 | 2 | 2019 |
| A Stochastic Optimisation Model to Support Cybersecurity within the UK National Health Service E Grass, C Pagel, S Crowe, S Ghafur SSRN, 2022 | 1 | 2022 |
| Case study design for short-term predictable disasters E Grass, K Fischer Journal of humanitarian logistics and supply chain management 10 (3), 391-419, 2020 | 1 | 2020 |
| Two-Stage Stochastic Programs for Pre-Positioning Problems in Disaster Management E Graß, E Graß An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster …, 2018 | 1 | 2018 |
| Solution algorithms in disaster management E Graß, E Graß An accelerated solution method for two-stage stochastic models in disaster …, 2018 | 1 | 2018 |
| Assessing the impact of technology partners on the level of cyberattack damage in hospitals Y Angler, S Flessa, E Grass, O Goetz Health Policy and Technology 14 (1), 100955, 2025 | | 2025 |
| The resilient newsvendor: Hospital surge capacity planning E Grass, R Stolletz | | 2023 |
| A novel framework to deal with ambiguity in the humanitarian decision making E Grass, J Ortmann, B Balcik, W Rei | | 2022 |
| The challenges of cybersecurity in health care: the UK National Health Service as a case study (vol 1, pg e10, 2019) S Ghafur, E Grass, NR Jennings, A Darzi LANCET DIGITAL HEALTH 1 (2), E60-E60, 2019 | | 2019 |
