| A critique of the use of domain analysis for spatial collision risk assessment A Rawson, M Brito Ocean Engineering 219, 108259, 2021 | 52 | 2021 |
| Practical application of domain analysis: Port of London case study A Rawson, E Rogers, D Foster, D Phillips The Journal of Navigation 67 (2), 193-209, 2014 | 46 | 2014 |
| Assessing the impacts to vessel traffic from offshore wind farms in the Thames Estuary A Rawson, E Rogers Zeszyty Naukowe Akademii Morskiej w Szczecinie, 99--107, 2015 | 44 | 2015 |
| A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis A Rawson, M Brito Transport Reviews 43 (1), 108-130, 2023 | 43 | 2023 |
| A machine learning approach for monitoring ship safety in extreme weather events A Rawson, M Brito, Z Sabeur, L Tran-Thanh Safety science 141, 105336, 2021 | 39 | 2021 |
| Intelligent geospatial maritime risk analytics using the Discrete Global Grid System A Rawson, Z Sabeur, M Brito Big Earth Data 6 (3), 294-322, 2022 | 24 | 2022 |
| Spatial modeling of maritime risk using machine learning A Rawson, M Brito, Z Sabeur Risk Analysis 42 (10), 2291-2311, 2022 | 12 | 2022 |
| Developing contextually aware ship domains using machine learning A Rawson, M Brito The Journal of Navigation 74 (3), 515-532, 2021 | 12 | 2021 |
| Assessing the validity of navigation risk assessments: A study of offshore wind farms in the UK A Rawson, M Brito Ocean & Coastal Management 219, 106078, 2022 | 8 | 2022 |
| From conventional to machine learning methods for maritime riskassessment A Rawson, M Brito, Z Sabeur, L Tran-Thanh TransNav: International Journal on Marine Navigation and Safety of Sea …, 2021 | 6 | 2021 |
| Spatial challenges of maritime risk analysis using big data A Rawson, Z Sabeur, G Correndo Developments in the Collision and Grounding of Ships and Offshore Structures …, 2019 | 5 | 2019 |
| An Analysis of Vessel Traffic Flow Before and After the Grounding of the MV Rena, 2011 A Rawson Marine Navigation, 203-209, 2017 | 3 | 2017 |
| Modelling of ship navigation in extreme weather events using machine learning AD Rawson, M Brito Research Publlishing, 2020 | 2 | 2020 |
| Empirical Analysis of Ship Anchor Drag Incidents for Cable Burial Risk Assessments A Rawson, M Brito | 1 | 2021 |
| Geospatial data analysis for global maritime risk assessment using the discrete global grid system A Rawson, Z Sabeur, M Brito 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3904 …, 2021 | 1 | 2021 |
| Spatial analysis of fishing tows with Automatic Identification System (AIS) data to inform offshore wind layouts S Drew, M Wolterding, A Rawson, J Drew Marine and Coastal Fisheries 16 (1), e10279, 2024 | | 2024 |
| Intelligent geospatial analytics for maritime risk assessment A Rawson University of Southampton, 2022 | | 2022 |
| Geospatial mining of massive AIS data for strategic management of maritime navigation safety: Methodological and policy considerations A Rawson, M Brito, Z Sabeur | | 2021 |
| Mapping the safety of navigation in UK waters A Rawson | | 2021 |
| Application of quantitative route modelling of navigation safety impacts of offshore wind farms A Rawson | | 2021 |
