| Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing K Alexopoulos, N Nikolakis, G Chryssolouris International Journal of Computer Integrated Manufacturing 33 (5), 429-439, 2020 | 226 | 2020 |
| The digital twin implementation for linking the virtual representation of human-based production tasks to their physical counterpart in the factory-floor N Nikolakis, K Alexopoulos, E Xanthakis, G Chryssolouris International Journal of Computer Integrated Manufacturing 32 (1), 1-12, 2019 | 205 | 2019 |
| A cyber physical system (CPS) approach for safe human-robot collaboration in a shared workplace N Nikolakis, V Maratos, S Makris Robotics and Computer-Integrated Manufacturing 56, 233-243, 2019 | 201 | 2019 |
| A deep learning model for predictive maintenance in cyber-physical production systems using lstm autoencoders X Bampoula, G Siaterlis, N Nikolakis, K Alexopoulos Sensors 21 (3), 972, 2021 | 94 | 2021 |
| Dynamic scheduling of shared human-robot manufacturing operations N Nikolakis, N Kousi, G Michalos, S Makris Procedia CIRP 72, 9-14, 2018 | 77 | 2018 |
| On a containerized approach for the dynamic planning and control of a cyber-physical production system N Nikolakis, R Senington, K Sipsas, A Syberfeldt, S Makris Robotics and computer-integrated manufacturing 64, 101919, 2020 | 48 | 2020 |
| A quantitative approach to resilience in manufacturing systems K Alexopoulos, I Anagiannis, N Nikolakis, G Chryssolouris International Journal of Production Research 60 (24), 7178-7193, 2022 | 42 | 2022 |
| A cloud-to-edge approach to support predictive analytics in robotics industry S Panicucci, N Nikolakis, T Cerquitelli, F Ventura, S Proto, E Macii, ... Electronics 9 (3), 492, 2020 | 42 | 2020 |
| On a shared human-robot task scheduling and online re-scheduling N Nikolakis, K Sipsas, P Tsarouchi, S Makris Procedia CIRP 78, 237-242, 2018 | 24 | 2018 |
| Synthetic datasets for Deep Learning in computer-vision assisted tasks in manufacturing C Manettas, N Nikolakis, K Alexopoulos Procedia CIRP 103, 237-242, 2021 | 23 | 2021 |
| A cyber-physical context-aware system for coordinating human-robot collaboration N Nikolakis, K Sipsas, S Makris Procedia CIRP 72, 27-32, 2018 | 20 | 2018 |
| A fog computing approach for predictive maintenance T Cerquitelli, D Bowden, A Marguglio, L Morabito, C Napione, S Panicucci, ... Advanced Information Systems Engineering Workshops: CAiSE 2019 International …, 2019 | 19 | 2019 |
| Multi-criteria assembly line design under demand uncertainty N Papakostas, G Pintzos, C Giannoulis, N Nikolakis, G Chryssolouris Procedia CIRP 25, 86-92, 2014 | 19 | 2014 |
| A machine learning approach for improved shop-floor operator support using a two-level collaborative filtering and gamification features N Nikolakis, G Siaterlis, K Alexopoulos Procedia CIRP 93, 455-460, 2020 | 18 | 2020 |
| A microservice architecture for predictive analytics in manufacturing N Nikolakis, A Marguglio, G Veneziano, P Greco, S Panicucci, ... Procedia Manufacturing 51, 1091-1097, 2020 | 16 | 2020 |
| Digital transformation of production planning and control in manufacturing smes-the mold shop case K Alexopoulos, N Nikolakis, E Xanthakis Applied Sciences 12 (21), 10788, 2022 | 15 | 2022 |
| An IIoT approach for edge intelligence in production environments using machine learning and knowledge graphs G Siaterlis, M Franke, K Klein, KA Hribernik, G Papapanagiotakis, ... Procedia CIRP 106, 282-287, 2022 | 14 | 2022 |
| Predictive Maintenance in Smart Factories T Cerquitelli, N Nikolakis, N O’Mahony, E Macii, M Ippolito, S Makris Springer Singapore, 2021 | 14 | 2021 |
| A Cloud-to-edge Architecture for Predictive Analytics. D Bowden, A Marguglio, L Morabito, C Napione, S Panicucci, N Nikolakis, ... EDBT/ICDT Workshops, 2019 | 14 | 2019 |
| Energy-based prognosis of the remaining useful life of the coating segments in hot rolling mill I Anagiannis, N Nikolakis, K Alexopoulos Applied Sciences 10 (19), 6827, 2020 | 12 | 2020 |
