| 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 | 202 | 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 | 142 | 2022 |
| Immune or at-risk? Stock markets and the significance of the COVID-19 pandemic N O’Donnell, D Shannon, B Sheehan Journal of Behavioral and Experimental Finance 30, 100477, 2021 | 99 | 2021 |
| 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 | 79 | 2017 |
| 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 | 54 | 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 | 49 | 2021 |
| Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics I Furxhi, F Murphy, CA Poland, B Sheehan, M Mullins, P Mantecca Nanotoxicology 13 (6), 827-848, 2019 | 38 | 2019 |
| Large expert-curated database for benchmarking document similarity detection in biomedical literature search P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ... Database 2019, 2019 | 34 | 2019 |
| 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 | 32 | 2022 |
| A tractable method for measuring nanomaterial risk using Bayesian networks F Murphy, B Sheehan, M Mullins, H Bouwmeester, HJP Marvin, ... Nanoscale research letters 11, 1-8, 2016 | 32 | 2016 |
| Hazard Screening Methods for Nanomaterials: A Comparative Study B Sheehan, F Murphy, M Mullins, I Furxhi, AL Costa, FC Simeone, ... International Journal of Molecular Sciences 19 (3), 649, 2018 | 26 | 2018 |
| Explainable artificial intelligence (xai) in insurance E Owens, B Sheehan, M Mullins, M Cunneen, J Ressel, G Castignani Risks 10 (12), 230, 2022 | 20 | 2022 |
| From traditional to autonomous vehicles: A systematic review of data availability L Masello, B Sheehan, F Murphy, G Castignani, K McDonnell, C Ryan Transportation research record 2676 (4), 161-193, 2022 | 15 | 2022 |
| Deep learning in insurance: Accuracy and model interpretability using TabNet K McDonnell, F Murphy, B Sheehan, L Masello, G Castignani Expert Systems with Applications 217, 119543, 2023 | 14 | 2023 |
| Regulatory and technical constraints: An overview of the technical possibilities and regulatory limitations of vehicle telematic data K McDonnell, F Murphy, B Sheehan, L Masello, G Castignani, C Ryan Sensors 21 (10), 3517, 2021 | 10 | 2021 |
| On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers L Masello, B Sheehan, G Castignani, D Shannon, F Murphy Accident Analysis & Prevention 183, 106969, 2023 | 9 | 2023 |
| Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence L Masello, G Castignani, B Sheehan, M Guillen, F Murphy Accident Analysis & Prevention 184, 106997, 2023 | 8 | 2023 |
| Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach F Irini, AN Kia, D Shannon, T Jannusch, F Murphy, B Sheehan Array 11, 100075, 2021 | 7 | 2021 |
| Algorithmic trading, high-frequency trading: implications for MiFID II and market abuse regulation (MAR) in the EU R Sadaf, O McCullagh, B Sheehan, C Grey, E King, M Cunneen High-frequency Trading: Implications for MiFID II and Market Abuse …, 2021 | 6 | 2021 |
| Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks I Furxhi, F Murphy, B Sheehan, M Mullins, P Mantecca 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 1-4, 2018 | 6 | 2018 |
Finbarr MurphyExecutive Dean. Professor in Quantitative Finance, University of LimerickVerified email at ul.ie
