| Connected and autonomous vehicles: A cyber-risk classification framework B Sheehan, F Murphy, M Mullins, C Ryan Transportation research part A: policy and practice 124, 523-536, 2019 | 208 | 2019 |
| Cyber risk and cybersecurity: a systematic review of data availability F Cremer, B Sheehan, M Fortmann, AN Kia, M Mullins, F Murphy, ... The Geneva Papers on risk and insurance-Issues and practice 47 (3), 698-736, 2022 | 176 | 2022 |
| Autonomous vehicles and embedded artificial intelligence: The challenges of framing machine driving decisions M Cunneen, M Mullins, F Murphy Applied Artificial Intelligence 33 (8), 706-731, 2019 | 104 | 2019 |
| The toxic truth about carbon nanotubes in water purification: a perspective view R Das, BF Leo, F Murphy Nanoscale research letters 13, 1-10, 2018 | 104 | 2018 |
| From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions T Bellet, M Cunneen, M Mullins, F Murphy, F Pütz, F Spickermann, ... Transportation research part F: traffic psychology and behaviour 63, 153-164, 2019 | 93 | 2019 |
| Practices and trends of machine learning application in nanotoxicology I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland Nanomaterials 10 (1), 116, 2020 | 87 | 2020 |
| Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment HJP Marvin, Y Bouzembrak, EM Janssen, M van der Zande, F Murphy, ... Nanotoxicology 11 (1), 123-133, 2017 | 80 | 2017 |
| Autonomous vehicles and avoiding the trolley (dilemma): vehicle perception, classification, and the challenges of framing decision ethics M Cunneen, M Mullins, F Murphy, D Shannon, I Furxhi, C Ryan Cybernetics and Systems 51 (1), 59-80, 2020 | 74 | 2020 |
| Sustainable nanotechnology decision support system: bridging risk management, sustainable innovation and risk governance V Subramanian, E Semenzin, D Hristozov, A Zabeo, I Malsch, E McAlea, ... Journal of Nanoparticle Research 18, 1-13, 2016 | 74 | 2016 |
| Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index I Furxhi, F Murphy, M Mullins, CA Poland Toxicology letters 312, 157-166, 2019 | 68 | 2019 |
| Nanotoxicology data for in silico tools: a literature review I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland Nanotoxicology 14 (5), 612-637, 2020 | 65 | 2020 |
| Connected automated vehicles and insurance: Analysing future market-structure from a business ecosystem perspective F Pütz, F Murphy, M Mullins, L O'Malley Technology in Society 59, 101182, 2019 | 57 | 2019 |
| Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach B Sheehan, F Murphy, C Ryan, M Mullins, HY Liu Transportation Research Part C: Emerging Technologies 82, 124-137, 2017 | 56 | 2017 |
| A quantitative bow-tie cyber risk classification and assessment framework B Sheehan, F Murphy, AN Kia, R Kiely Journal of Risk Research 24 (12), 1619-1638, 2021 | 51 | 2021 |
| A machine learning tool to predict the antibacterial capacity of nanoparticles M Mirzaei, I Furxhi, F Murphy, M Mullins Nanomaterials 11 (7), 1774, 2021 | 48 | 2021 |
| End-to-end autonomous driving risk analysis: A behavioural anomaly detection approach C Ryan, F Murphy, M Mullins IEEE Transactions on Intelligent Transportation Systems 22 (3), 1650-1662, 2020 | 47 | 2020 |
| On the road safety benefits of advanced driver assistance systems in different driving contexts L Masello, G Castignani, B Sheehan, F Murphy, K McDonnell Transportation research interdisciplinary perspectives 15, 100670, 2022 | 44 | 2022 |
| The essential elements of a risk governance framework for current and future nanotechnologies V Stone, M Führ, PH Feindt, H Bouwmeester, I Linkov, S Sabella, ... Risk Analysis 38 (7), 1321-1331, 2018 | 44 | 2018 |
| Risk governance of emerging technologies demonstrated in terms of its applicability to nanomaterials P Isigonis, A Afantitis, D Antunes, A Bartonova, A Beitollahi, N Bohmer, ... Small 16 (36), 2003303, 2020 | 42 | 2020 |
| Artificial driving intelligence and moral agency: Examining the decision ontology of unavoidable road traffic accidents through the prism of the trolley dilemma M Cunneen, M Mullins, F Murphy, S Gaines Applied Artificial Intelligence 33 (3), 267-293, 2019 | 41 | 2019 |
Martin MullinsVisiting Professor, Vicomtech, San Sebastian; Prof. Risk Management, University of Limerick在 ul.ie 的电子邮件经过验证
