| How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark NF Ryman-Tubb, P Krause, W Garn Engineering Applications of Artificial Intelligence 76, 130-157, 2018 | 181 | 2018 |
| To eliminate or absorb supply chain complexity: a conceptual model and case study J Aitken, C Bozarth, W Garn Supply Chain Management: An International Journal 21 (6), 759-774, 2016 | 94 | 2016 |
| Assessing critical success factors for military decision support P Louvieris, A Gregoriades, W Garn Expert Systems with Applications 37 (12), 8229-8241, 2010 | 46 | 2010 |
| Next Generation DES Simulation: A Research Agenda for Human Centric Manufacturing Systems CJ Turner, W Garn Journal of Industrial Information Integration, 2022 | 33 | 2022 |
| COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network V Nikolaou, S Massaro, M Fakhimi, L Stergioulas, W Garn Health information science and systems 9, 1-11, 2021 | 32 | 2021 |
| Industry 5.0 and the circular economy: Utilizing LCA with intelligent products C Turner, J Oyekan, W Garn, C Duggan, K Abdou Sustainability 14 (22), 14847, 2022 | 31 | 2022 |
| Balanced dynamic multiple travelling salesmen: Algorithms and continuous approximations W Garn Computers & Operations Research 136, 105509, 2021 | 13 | 2021 |
| Agile factorial production for a single manufacturing line with multiple products W Garn, J Aitken European Journal of Operational Research 245 (3), 754-766, 2015 | 11 | 2015 |
| Hybrid fleet capacitated vehicle routing problem with flexible Monte–Carlo Tree search C Barletta, W Garn, C Turner, S Fallah International Journal of Systems Science: Operations & Logistics 10 (1), 2102265, 2023 | 9 | 2023 |
| Splitting hybrid make-to-order and make-to-stock demand profiles W Garn, J Aitken arXiv preprint arXiv:1504.03594, 2015 | 9 | 2015 |
| The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities V Nikolaou, S Massaro, W Garn, M Fakhimi, L Stergioulas, D Price Respiratory Medicine 186, 106528, 2021 | 8 | 2021 |
| Opportunities in real time fraud detection: an explainable artificial intelligence (XAI) Research Agenda ER Mill, W Garn, NF Ryman-Tubb, C Turner International Journal of Advanced Computer Science and Applications 14 (5 …, 2023 | 5 | 2023 |
| Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): Applying machine learning for predicting lung function loss V Nikolaou, S Massaro, W Garn, M Fakhimi, L Stergioulas, DB Price BMJ open respiratory research 8 (1), e000980, 2021 | 5 | 2021 |
| Closed form distance formula for the balanced multiple travelling salesmen W Garn arXiv preprint arXiv:2001.07749, 2020 | 4 | 2020 |
| Profitability in the car industry: New measures for estimating targets and target directions H van der Heijden, W Garn European Journal of Operational Research 225 (3), 420-428, 2013 | 4 | 2013 |
| Managing sustainability tensions in artificial intelligence: Insights from paradox theory E Mill, W Garn, N Ryman-Tubb Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 491-498, 2022 | 3 | 2022 |
| Using machine learning to detect theranostic biomarkers predicting respiratory treatment response V Nikolaou, S Massaro, M Fakhimi, W Garn Life 12 (6), 775, 2022 | 3 | 2022 |
| Smoothly Pass the Parcel: Implementing the Theory of Swift, Even Flow W Garn, J Aitken, R Schmenner ResearchGate, 2020 | 3 | 2020 |
| LSTM network time series predicts high-risk tenants W Garn, Y Hu, P Nicholson, B Jones, H Tang Proceedings of Euro 2018-29th European Conference on Operational Research, 2018 | 3 | 2018 |
| Introduction to Management Science: Modelling, Optimisation and Probability W Garn Smartana Ltd., 2018 | 2 | 2018 |
