| Learning from major accidents to improve system design R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety science 84, 37-45, 2016 | 116 | 2016 |
| Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety Science 99, 196-214, 2017 | 97 | 2017 |
| Learning from major accidents: Graphical representation and analysis of multi-attribute events to enhance risk communication R Moura, M Beer, E Patelli, J Lewis Safety science 99, 58-70, 2017 | 55 | 2017 |
| Identification of human errors and influencing factors: A machine learning approach C Morais, KL Yung, K Johnson, R Moura, M Beer, E Patelli Safety science 146, 105528, 2022 | 28 | 2022 |
| Human error analysis: Review of past accidents and implications for improving robustness of system design R Moura, M Beer, E Patelli, J Lewis, F Knoll Proceedings of the 24th European safety and reliability conference, 14-18, 2014 | 26 | 2014 |
| Analysis and estimation of human errors from major accident investigation reports C Morais, R Moura, M Beer, E Patelli ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020 | 23 | 2020 |
| Robust data-driven human reliability analysis using credal networks C Morais, HD Estrada-Lugo, S Tolo, T Jacques, R Moura, M Beer, ... Reliability Engineering & System Safety 218, 107990, 2022 | 21 | 2022 |
| Human reliability analysis—accounting for human actions and external factors through the project life cycle C Morais, R Moura, M Beer, E Patelli Safety and Reliability–Safe Societies in a Changing World, 329-338, 2018 | 12 | 2018 |
| Tackling the lack of data for human error probability with Credal network C Morais, S Tolo, R Moura, M Beer, E Patelli Proceedings of the ESREL 945, 2019 | 8 | 2019 |
| Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces C Doell, P Held, R Moura, R Kruse, M Beer Proceedings of the International Probabilistic Workshop (IPW2015), Liverpool …, 2015 | 7 | 2015 |
| Learning from accidents: analysis and representation of human errors in multi-attribute events R Moura, M Beer, J Lewis, E Patelli 12th International Conference on Applications of Statistics and Probability …, 2015 | 7 | 2015 |
| Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networks C Morais, R Moura, M Beer, E Patelli 14th Probabilistic Safety Assessment and Management, PSAM 2018, 2018 | 6 | 2018 |
| Handling the uncertainty with confidence in human reliability analysis C Morais, S Ferson, R Moura, S Tolo, M Beer, E Patelli Proceedings of the 31st European Safety and Reliability Conference, 3312-3318, 2021 | 4 | 2021 |
| Human factors influencing decision-making: tendencies from first-line management decisions and implications to reduce major accidents R Moura, E Patelli, J Lewis, C Morais, M Beer Safety and Reliability–Theory and Applications, 251-260, 2017 | 4 | 2017 |
| A clustering approach to a major-accident data set: Analysis of key interactions to minimise human errors R Moura, C Doell, M Beer, R Kruse 2015 IEEE Symposium Series on Computational Intelligence, 1838-1843, 2015 | 4 | 2015 |
| Learning from accidents: human errors, preventive design and risk mitigation RN Moura PQDT-Global, 2017 | 3 | 2017 |
| Lessons learned from a mystery oil spill that hit the Brazilian coast in 2019 FCP Inojosa, LF Pedrosa, MCTDE Castro, MNDE Amorim, MR Franca, ... Anais da Academia Brasileira de Ciências 94 (suppl 2), e20210309, 2022 | 2 | 2022 |
| Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design R Moura, M Beer, E Patelli, J Lewis, F Knoll | 2 | 2017 |
| Emergency Responders Lessons Learned Feedback F Inojosa, LP Ferreira, MCT de Castro, M Amorim, M França, ... University of Liverpool, 2021 | 1 | 2021 |
| Descomissionamento offshore no Brasil F Delgado, R Moura, M França FGV Energia, 2021 | 1 | 2021 |
Michael BeerLeibniz Universität HannoverVerified email at irz.uni-hannover.de
