| Disruptive technologies in agricultural operations: a systematic review of AI-driven AgriTech research K Spanaki, U Sivarajah, M Fakhimi, S Despoudi, Z Irani Annals of Operations Research, 1-34, 2021 | 80 | 2021 |
| Operations research within UK healthcare: a review M Fakhimi, J Probert Journal of Enterprise Information Management 26 (1/2), 21-49, 2013 | 39 | 2013 |
| A hybrid agent-based and discrete event simulation approach for sustainable strategic planning and simulation analytics M Fakhimi, A Anagnostou, L Stergioulas, SJE Taylor Proceedings of the Winter Simulation Conference 2014, 1573-1584, 2014 | 36 | 2014 |
| 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), 1-11, 2021 | 32 | 2021 |
| COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda V Nikolaou, S Massaro, M Fakhimi, L Stergioulas, D Price Respiratory Medicine, 106093, 2020 | 31 | 2020 |
| An investigation of hybrid simulation for modeling sustainability in healthcare M Fakhimi, LK Stergioulas, N Mustafee Proceedings of the 2015 Winter Simulation Conference, 1585-1596, 2015 | 23 | 2015 |
| An investigation into modeling and simulation approaches for sustainable operations management M Fakhimi, N Mustafee, LK Stergioulas simulation 92 (10), 907-919, 2016 | 20 | 2016 |
| Application of operations research within the UK healthcare context M Fakhimi, N Mustafee 2012 Operational Research Society Simulation Workshop, SW 2012, 66-82, 2012 | 20 | 2012 |
| A review of literature in modeling approaches for sustainable development M Fakhimi, N Mustafee, L Stergioulas, T Eldabi Proceedings of the 2013 Winter Simulation Conference: Simulation: Making …, 2013 | 19 | 2013 |
| Data analytics diffusion in the UK renewable energy sector: an innovation perspective H Kava, K Spanaki, T Papadopoulos, S Despoudi, ... Annals of Operations Research, 1-26, 2021 | 8 | 2021 |
| 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, 106528, 2021 | 8 | 2021 |
| Evaluating e-learning platforms for schools: Use and usability, user acceptance, and impact on learning L Stergioulas, M Abassi, G Xydopoulos, M Fakhimi, R Margineanu, ... 2014 IEEE 14th International Conference on Advanced Learning Technologies, 19-21, 2014 | 7 | 2014 |
| Sustainability Analysis in Industry 4.0 Using Computer Modelling and Simulation M Fakhimi, N Mustafee Simulation for Industry 4.0, 97-109, 2019 | 6 | 2019 |
| Modelling for sustainable development using the triple-bottom line: Methods, challenges and the need for hybrid M&S M Fakhimi, LK Stergioulas, N Mustafee Simulation Conference (WSC), 2017 Winter, 632-643, 2017 | 6 | 2017 |
| 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, D Price BMJ Open Respiratory Research, 2022 | 5 | 2022 |
| Disruptive technologies in agricultural operations: A meta-review of AgriTech and AI research K Spanaki, U Sivarajah, M Fakhimi, S Despoud, Z Irani Annals of Operations Research, 2021 | 5 | 2021 |
| Methodology And Evaluation Framework For Measuring Impact Of An E-Learning Platform M Fakhimi, L Stergioulas, M Abbasi, G Xydopoulos, N Athanasiades, ... EDULEARN14 Proceedings, 2150-2155, 2014 | 5 | 2014 |
| Hybrid Simulation in Healthcare: A Review of the Literature E Kar, T Eldabi, M Fakhimi 2022 Winter Simulation Conference (WSC), 1211-1222, 2022 | 3 | 2022 |
| Using Machine Learning to Detect Theranostic Biomarkers Predicting Respiratory Treatment Response V Nikolaou, S Massaro, M Fakhimi, W Garn Life 12 (775), 9, 2022 | 3 | 2022 |
| A generic hybrid modelling and simulation framework for sustainable development analysis in healthcare context. M Fakhimi University of Surrey, 2016 | 3 | 2016 |
Lampros StergioulasProfessor of Data Science, The Hague University of Applied SciencesZweryfikowany adres z hhs.nl
