Home - Our People - Finbarr Murphy
Contact Details University of Limerick

Publications

2023

Castignani, German, Masello, Leandro, Murphy, Finbarr, Shannon, Darren, Sheehan, Barry. 2023. On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers. Accident; Analysis and Prevention, 183, 106969. doi: 10.1016/j.aap.2023.106969.

2022

Cremer, Frank, Fortmann, Michael, Kia, Arash N, Materne, Stefan, Mullins, Martin, Murphy, Finbarr, Sheehan, Barry. 2022. Cyber risk and cybersecurity: a systematic review of data availability. The Geneva papers on risk and insurance. Issues and practice, 1{textemdash}39. doi: 10.1057/s41288-022-00266-6.

2020

Conor Ryan, Cunneen, Martin, Darren Shannon, Furxhi, Irini, M Mullins, Murphy, Finbarr. 2020. Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics. Cybernetics and Systems, 51, 59-80. doi: 10.1080/01969722.2019.1660541.

2019

Cummins, Mark, Kearney, Fearghal, Murphy, Finbarr. 2019. Using extracted forward rate term structure information to forecast foreign exchange rates. Journal of Empirical Finance, 53, 1 - 14. doi: https://doi.org/10.1016/j.jempfin.2019.05.002.
Furxhi, Irini, M Mullins, Murphy, Finbarr, Poland, Craig A.. 2019. Machine Learning Prediction of Nanoparticle In Vitro Toxicity: A Comparative Study of Classifiers and Ensemble-Classifiers using the Copeland Index. Toxicology Letters. doi: https://doi.org/10.1016/j.toxlet.2019.05.016.
Biermann, Michael, M Mullins, Murphy, Finbarr, P{"u}tz, Fabian, Rohlfs, Torsten, Wrana, Dennis. 2019. The impact of autonomous vehicle technologies on product recall risk. International Journal of Production Research, 1-14. doi: 10.1080/00207543.2019.1566651.
Baumann, Martina Felicitas, Bellet, Thierry, Braendle, Claudia, Cunneen, Martin, M Mullins, Murphy, Finbarr, P{"u}tz, Fabian, Spickermann, Florian. 2019. From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions. Transportation Research Part F: Traffic Psychology and Behaviour, 63, 153 - 164. doi: https://doi.org/10.1016/j.trf.2019.04.004.
M Mullins, Murphy, Finbarr, P{"u}tz, Fabian. 2019. Driving to a future without accidents? Connected automated vehicles’ impact on accident frequency and motor insurance risk. Environment Systems and Decisions. doi: 10.1007/s10669-019-09739-x.
Conor Ryan, M Mullins, Murphy, Finbarr, Sheehan, Barry. 2019. Connected and autonomous vehicles: A cyber-risk classification framework. Transportation Research Part A: Policy and Practice. doi: https://doi.org/10.1016/j.tra.2018.06.033.
Cunneen, Martin, M Mullins, Murphy, Finbarr. 2019. Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions. Applied Artificial Intelligence. doi: 10.1080/08839514.2019.1600301.
Cunneen, Martin, M Mullins, Murphy, Finbarr. 2019. Artificial intelligence assistants and risk: framing a connectivity risk narrative. AI & SOCIETY. doi: 10.1007/s00146-019-00916-9.
Furxhi, Irini, M Mullins, Mantecca, Paride, Murphy, Finbarr, Poland, Craig, Sheehan, Barry. 2019. Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics. Nanotoxicology, 13, 1-22. doi: 10.1080/17435390.2019.1595206.

2018

Das, R, Leo, B.F, Murphy, F. 2018. The Toxic Truth about Carbon Nanotubes in Water Purification: A Perspective View. Nanoscale Research Letters. doi: 10.1186/s11671-018-2589-z.
Conor Ryan, M Mullins, Murphy, Finbarr. 2018. Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection Approach. Risk Analysis, 39. doi: 10.1111/risa.13217.
FRIEL, Raymond, M Mullins, MAIER, Karl, Murphy, Finbarr, P{"u}tz, Fabian, Rohlfs, Torsten. 2018. Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework. European Journal of Risk Regulation, 9, 548{textendash}563. doi: 10.1017/err.2018.35.
Furxhi, I, M Mullins, Mantecca, P, Murphy, F, Sheehan, B. 2018. Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks. In: 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO). doi: 10.1109/NANO.2018.8626300.
Costa, A.L, Furxhi, I, M Mullins, Mantecca, P, Murphy, F, Sheehan, B, Simeone, F.C. 2018. Hazard Screening Methods for Nanomaterials: A Comparative Study. Int. J. Mol. Sci. doi: 10.3390/ijms19030649..
Cunneen, Martin, Gaines, Se{'a}n, M Mullins, Murphy, Finbarr. 2018. Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma. Applied Artificial Intelligence, 33, 1-27. doi: 10.1080/08839514.2018.1560124.

2017

{r A}gerstrand, Marlene, Andersen, Torben, Anderson, Diana, Bergamaschi, Enrico, Bizer, Kilian, Bouwmeester, Hans, Cherrie, John W., Cowan, Sue, Dalemcourt, Jean-Francois, F{"u}hr, Martin, Faure, Michael, Feindt, Peter H., Fernandes, Teresa F., Fito, Carlos, Gabbert, Silke, Gajewicz, Agnieszka, Hristozov, Danail, Johnston, Helinor J., Lansdown, Terry C., Linder, Stefan, Linkov, Igor, M Mullins, Marvin, Hans J. P, Murphy, Finbarr, Poortvliet, P. Marijn, Purnhagen, Kai, Puzyn, Tomasz, Sabella, Stefania, Sanchez Jimenez, Araceli, Scott-Fordsmand, Janeck J., Stone, Vicki, Streftaris, George, Tran, Lang, van Tongeren, Martie, Voelcker, Nicolas H., Voyiatzis, George, Yannopoulos, Spyros N.. 2017. The Essential Elements of a Risk Governance Framework for Current and Future Nanotechnologies. Risk Analysis, n/a{textendash}n/a. doi: 10.1111/risa.12954.