| Predicting ship machinery system condition through analytical reliability tools and artificial neural networks I Lazakis, Y Raptodimos, T Varelas Ocean Engineering 152, 404-415, 2018 | 132 | 2018 |
| Optimizing ship routing to maximize fleet revenue at Danaos T Varelas, S Archontaki, J Dimotikalis, O Turan, I Lazakis, O Varelas Interfaces 43 (1), 37-47, 2013 | 31 | 2013 |
| Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems Y Raptodimos, I Lazakis, G Theotokatos, T Varelas, L Drikos Smart Ship Technology, 2016 | 27 | 2016 |
| e-Maritime for automating legacy shipping practices A Morrall, J Rainbird, T Katsoulakas, I Koliousis, T Varelas Transportation Research Procedia 14, 143-152, 2016 | 25 | 2016 |
| Wireless condition monitoring for ship applications AL Michala, I Lazakis, G Theotokatos, T Varelas Smart Ship Technology, 59-66, 2016 | 14 | 2016 |
| Real-Time Ship Management through the Lens of Big Data T Varelas, S Plitsos 2020 IEEE Sixth International Conference on Big Data Computing Service and …, 2020 | 4 | 2020 |
| Trajectory Mining and Routing: A Cross-Sectoral Approach D Kaklis, I Kontopoulos, I Varlamis, IZ Emiris, T Varelas Journal of Marine Science and Engineering 12 (1), 157, 2024 | 2 | 2024 |
| Seventh framework programme theme 7: transport (including aeronautics) TTG4 e-Maritime: proposals for R&D road map T Morrall, D Griffiths, T Varelas, T Katsoulakos, I Koliousis, S Furió, ... Maritime Europe Strategy Action, 2016 | 1 | 2016 |
| Defining ship structural and machinery onboard measurement campaign for energy efficient operations Y Raptodimos, I Lazakis, T Varelas, A Papadakis, L Drikos International Conference on Shipping in Changing Climates, 233-244, 2015 | 1 | 2015 |
| Operations Research & Information Science in e-Maritime J Coustas, T Varelas, D Theodosiou, I Lazakis, S Archontaki | | 2018 |
| Recreational Mathematics with the len of operational research T Varelas, D Kaklis, P Arampatzi | | |
| Real-Time Ship Management through the Lens of Big Data S Plitsos, T Varelas | | |
| Intelligence in Crew option systems: Cos (i) TI Varelas, SG Archontaki | | |
| Orisma (c): Optimizing long term fleet wide crew assignment T Varelas, S Archontaki, M Livadioti Book of Proceedings, 103, 0 | | |
Iraklis LazakisProfessor in Maritime Operations and Maintenance, NAOME, University of StrathclydeVerified email at strath.ac.uk
