| Practices and trends of machine learning application in nanotoxicology I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland Nanomaterials 10 (1), 116, 2020 | 84 | 2020 |
| 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 | 71 | 2020 |
| 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 | 65 | 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 | 62 | 2020 |
| A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles MM Mirzaei Mahsa, Furxhi Irini, Murphy Finbarr Nanomaterials 11 (7), 1774, 2021 | 43 | 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 |
| Predicting in vitro neurotoxicity induced by nanoparticles using machine learning I Furxhi, F Murphy International journal of molecular sciences 21 (15), 5280, 2020 | 36 | 2020 |
| Reduction of health care-associated infections (HAIs) with antimicrobial inorganic nanoparticles incorporated in medical textiles: an economic assessment F Murphy, A Tchetchik, I Furxhi Nanomaterials 10 (5), 999, 2020 | 28 | 2020 |
| ASINA Project: Towards a Methodological Data-Driven Sustainable and Safe-by-Design Approach for the Development of Nanomaterials I Furxhi, P Massimo, M Blosi, L de Ipiña, J Jesús, Oliveira, F Murphy, ... Frontiers in Bioengineering and Biotechnology 9, 2022 | 26 | 2022 |
| 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 |
| Health and environmental safety of nanomaterials: O Data, Where Art Thou? I Furxhi NanoImpact 25, 100378, 2022 | 18 | 2022 |
| Prediction of the effective reproduction number of COVID-19 in Greece. A machine learning approach using Google mobility data KK Arvanitis Athanasios, Furxhi Irini, Tasioulis Thomas Journal of Decision Analytics and Intelligent Computing 1 (1), 1-21, 2021 | 16* | 2021 |
| Assessment of exposure determinants and exposure levels by using stationary concentration measurements and a probabilistic near-field/far-field exposure model. I Koivisto, AJ Spinazzè, A Verdonck, F Borghi, F Löndahl, J Koponen, IK ... Open Research Europe 1 (72), 2021 | 14 | 2021 |
| Data Shepherding in Nanotechnology. The Initiation Furxhi I., Arvanitis A., Murphy F., Costa A., Blosi M. Nanomaterials 11 (6), 1520, 2021 | 14 | 2021 |
| Data Shepherding in Nanotechnology. The Exposure Field Campaign Template. Furxhi I., Koivisto AJ., Murphy F., Trabucco S., Secco BD., Arvanitis A. Nanomaterials 11 (6), 1818, 2021 | 13 | 2021 |
| Data shepherding in nanotechnology: An antimicrobial functionality data capture template I Furxhi, A Varesano, H Salman, M Mirzaei, V Battistello, IT Tomasoni, ... Coatings 11 (12), 1486, 2021 | 11 | 2021 |
| Surveillance and privacy – Beyond the panopticon. An exploration of 720-degree observation in level 3 and 4 vehicle automation M Jannusch, Tim David-Spickermann, Florian Shannon, Darren Ressel, Juliane ... Technology in Society 66, 101667, 2021 | 11 | 2021 |
| (Re) Conceptualizing decision-making tools in a risk governance framework for emerging technologies—the case of nanomaterials M Mullins, M Himly, IR Llopis, I Furxhi, S Hofer, N Hofstätter, P Wick, ... Environment Systems and Decisions 43 (1), 3-15, 2023 | 10 | 2023 |
| Status, implications and challenges of European safe and sustainable by design paradigms applicable to nanomaterials and advanced materials I Furxhi, A Costa, S Vázquez-Campos, C Fito-López, ... RSC Sustain., Advance Article, 2023 | 10 | 2023 |
| A supervised machine-learning prediction of textile’s antimicrobial capacity coated with nanomaterials M Mirzaei, I Furxhi, F Murphy, M Mullins Coatings 11 (12), 1532, 2021 | 10 | 2021 |
Finbarr MurphyExecutive Dean. Professor in Quantitative Finance, University of LimerickVerified email at ul.ie
