| Sensitivity analysis of offshore wind farm operation and maintenance cost and availability R Martin, I Lazakis, S Barbouchi, L Johanning Renewable Energy 85, 1226-1236, 2016 | 200 | 2016 |
| Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study C Gkerekos, I Lazakis, G Theotokatos Ocean Engineering 188, 106282, 2019 | 190 | 2019 |
| Advanced logistics planning for offshore wind farm operation and maintenance activities Y Dalgic, I Lazakis, I Dinwoodie, D McMillan, M Revie Ocean Engineering 101, 211-226, 2015 | 179 | 2015 |
| Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations J Carroll, A McDonald, I Dinwoodie, D McMillan, M Revie, I Lazakis Wind Energy 20 (2), 361-378, 2017 | 159 | 2017 |
| 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 | 137 | 2018 |
| Development of a combined operational and strategic decision support model for offshore wind I Dinwoodie, D McMillan, M Revie, I Lazakis, Y Dalgic Energy Procedia 35, 157-166, 2013 | 112 | 2013 |
| Increasing ship operational reliability through the implementation of a holistic maintenance management strategy I Lazakis, O Turan, S Aksu Ships and Offshore Structures 5 (4), 337-357, 2010 | 109 | 2010 |
| Advanced ship systems condition monitoring for enhanced inspection, maintenance and decision making in ship operations I Lazakis, K Dikis, AL Michala, G Theotokatos Transportation Research Procedia 14, 1679-1688, 2016 | 106 | 2016 |
| Maintenance/repair and production-oriented life cycle cost/earning model for ship structural optimisation during conceptual design stage O Turan, Aİ Ölçer, I Lazakis, P Rigo, JD Caprace Ships and Offshore Structures 4 (2), 107-125, 2009 | 94 | 2009 |
| Selection of the best maintenance approach in the maritime industry under fuzzy multiple attributive group decision-making environment I Lazakis, A Ölçer Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2016 | 93 | 2016 |
| Machine learning and data-driven fault detection for ship systems operations M Cheliotis, I Lazakis, G Theotokatos Ocean Engineering 216, 107968, 2020 | 85 | 2020 |
| Marine dual fuel engine modelling and parametric investigation of engine settings effect on performance-emissions trade-offs S Stoumpos, G Theotokatos, E Boulougouris, D Vassalos, I Lazakis, ... Ocean Engineering 157, 376-386, 2018 | 82 | 2018 |
| Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications Y Raptodimos, I Lazakis Ships and Offshore Structures 13 (6), 649-656, 2018 | 81 | 2018 |
| A novel, data-driven heuristic framework for vessel weather routing C Gkerekos, I Lazakis Ocean Engineering 197, 106887, 2020 | 75 | 2020 |
| Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study C Velasco-Gallego, I Lazakis Ocean Engineering 218, 108261, 2020 | 72 | 2020 |
| Investigation of optimum crew transfer vessel fleet for offshore wind farm maintenance operations Y Dalgic, I Lazakis, O Turan Wind Engineering 39 (1), 31-52, 2015 | 71 | 2015 |
| Vessel charter rate estimation for offshore wind O&M activities Y Dalgic, I Lazakis, O Turan International Maritime Association of Mediterranean IMAM 2013, 899-907, 2013 | 65 | 2013 |
| Investigating an SVM-driven, one-class approach to estimating ship systems condition I Lazakis, C Gkerekos, G Theotokatos Ships and Offshore Structures 14 (5), 432-441, 2019 | 64 | 2019 |
| Investigation of optimum jack-up vessel chartering strategy for offshore wind farm O&M activities Y Dalgic, I Lazakis, O Turan, S Judah Ocean Engineering 95, 106-115, 2015 | 64 | 2015 |
| Application of NARX neural network for predicting marine engine performance parameters Y Raptodimos, I Lazakis Ships and Offshore Structures 15 (4), 443-452, 2020 | 52 | 2020 |
