| Capturing the impact of COVID-19 on construction projects in developing countries: A case study of Iraq MKS Al-Mhdawi, MP Brito, M Abdul Nabi, IH El-Adaway, BS Onggo Journal of management in engineering 38 (1), 05021015, 2022 | 96 | 2022 |
| Risk analysis for autonomous underwater vehicle operations in extreme environments MP Brito, G Griffiths, P Challenor Risk Analysis: An International Journal 30 (12), 1771-1788, 2010 | 88 | 2010 |
| 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 | 85 | 2023 |
| A review of risk analysis research for the operations of autonomous underwater vehicles X Chen, N Bose, M Brito, F Khan, B Thanyamanta, T Zou Reliability Engineering & System Safety 216, 108011, 2021 | 85 | 2021 |
| A Bayesian approach for predicting risk of autonomous underwater vehicle loss during their missions M Brito, G Griffiths Reliability Engineering & System Safety 146, 55-67, 2016 | 71 | 2016 |
| Clean access, measurement, and sampling of Ellsworth Subglacial Lake: A method for exploring deep Antarctic subglacial lake environments MJ Siegert, RJ Clarke, M Mowlem, N Ross, CS Hill, A Tait, D Hodgson, ... Reviews of Geophysics 50 (1), 2012 | 68 | 2012 |
| 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 | 61 | 2021 |
| A critique of the use of domain analysis for spatial collision risk assessment A Rawson, M Brito Ocean Engineering 219, 108259, 2021 | 61 | 2021 |
| A Markov chain state transition approach to establishing critical phases for AUV reliability MP Brito, G Griffiths IEEE Journal of Oceanic Engineering 36 (1), 139-149, 2011 | 60 | 2011 |
| Underwater glider reliability and implications for survey design M Brito, D Smeed, G Griffiths Journal of Atmospheric and Oceanic technology 31 (12), 2858-2870, 2014 | 59 | 2014 |
| A behavioral probabilistic risk assessment framework for managing autonomous underwater vehicle deployments M Brito, G Griffiths, J Ferguson, D Hopkin, R Mills, R Pederson, E MacNeil Journal of Atmospheric and Oceanic Technology 29 (11), 1689-1703, 2012 | 45 | 2012 |
| 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 | 39 | 2022 |
| Predicting risk in missions under sea ice with autonomous underwater vehicles G Griffiths, M Brito 2008 IEEE/OES Autonomous Underwater Vehicles, 1-7, 2008 | 39 | 2008 |
| Adaptive autonomous underwater vehicles: an assessment of their effectiveness for oceanographic applications MP Brito, RS Lewis, N Bose, G Griffiths IEEE Transactions on Engineering Management 66 (1), 98-111, 2018 | 33 | 2018 |
| A fuzzy‐based risk assessment framework for autonomous underwater vehicle under‐ice missions TY Loh, MP Brito, N Bose, J Xu, K Tenekedjiev Risk Analysis 39 (12), 2744-2765, 2019 | 28 | 2019 |
| Fuzzy system dynamics risk analysis (FuSDRA) of autonomous underwater vehicle operations in the Antarctic TY Loh, MP Brito, N Bose, J Xu, K Tenekedjiev Risk Analysis 40 (4), 818-841, 2020 | 27 | 2020 |
| The role of adaptive mission planning and control in persistent autonomous underwater vehicles presence MP Brito, R Lewis, N Bose, P Alexander, G Griffiths, J Ferguson 2012 IEEE/OES Autonomous Underwater Vehicles (AUV), 1-9, 2012 | 27 | 2012 |
| Analysis of causation of loss of communication with marine autonomous systems: A probability tree approach MP Brito, DA Smeed, G Griffiths Methods in Oceanography 10, 122-137, 2014 | 26 | 2014 |
| Reliability of two REMUS-100 AUVs based on fault log analysis and elicited expert judgment G Griffiths, M Brito, I Robbins, M Moline Autonomous Undersea Systems Institute (AUSI), 2009 | 25 | 2009 |
| The anchoring heuristic and overconfidence bias among frontline employees in supply chain organizations J Doyle, U Ojiako, A Marshall, I Dawson, M Brito Production Planning & Control 32 (7), 549-566, 2021 | 24 | 2021 |
