23. Iacoletti S., Cremen G., & Galasso C. (2022). Integrating long and short-term time dependencies in a simulation-based seismic hazard assessment approach. AGU Earth and Space Science, (in press).
22. Mesta, C. Cremen, G., & Galasso, C. (2022). Urban growth modelling and social vulnerability assessment for a hazardous Kathmandu Valley. Scientific Reports, 12, 6152.
21. Cremen, G., Galasso, C., & McCloskey, J. (2022). Modelling and quantifying tomorrow's risks from natural hazards. Science of the Total Environment, 817, 152552.
20. Cremen, G., Galasso, C., & McCloskey, J. (2022). A simulation-based framework for earthquake risk-informed and people-centred decision making on future urban development, 10(1), e2021EF002388.
19. Iacoletti, S., Cremen, G., & Galasso, C. (2022). Validation of the Epidemic-Type Aftershock Sequence (ETAS) models for simulation-based seismic hazard assessments. Seismological Research Letters, 93 (3), 1601–1618.
18. Cremen, G., Galasso, C., & Zuccolo, E. (2022). Investigating the potential effectiveness of earthquake early warning across Europe. Nature Communications, 13, 639.
17. Cremen, G., Bozzoni, F., Pistorio, S., & Galasso, C. (2022). Developing a risk-informed decision-support system for earthquake early warning at a critical seaport. Reliability Engineering & System Safety, 218A,108035 .
16. Zuccolo, E., Cremen, G., & Galasso, C. (2021) Comparing the performance of regional earthquake early warning algorithms in Europe. Frontiers in Earth Science/Geohazards and Georisks, (in press).
15. Iacoletti, S., Cremen, G., & Galasso, C. (2021). Advancements in multi-rupture time-dependent seismic hazard modeling including fault interaction. Earth-Science Reviews, (in press).
14. Freddi F., Galasso C., Cremen G., Dall’Asta A., Di Sarno L., Giaralis A., Gutiérrez-Urzúa F., Málaga-Chuquitaype C., Mitoulis S., Petrone C., Sextos A., Sousa L., Tarbali K., Tubaldi E., Wardman J., & Woo G. (2021). Innovation in earthquake risk reduction and resilience: recent advances and challenges. International Journal of Disaster Risk Reduction, (in press).
13. Cremen, G., Velazquez, O., Orihuela Gonzales, B., & Galasso, C. (2021). Predicting approximate seismic responses in multistory buildings from real-time earthquake source information, for earthquake early warning applications. Bulletin of Earthquake Engineering, (in press).
12. Galasso C., McCloskey J., Pelling M., Hope M., Bean C., Cremen G., Guragain R., Hancilar U., Menoscal J., Mwelu K., Phillips J., Rush D., & Sinclair H. (2021). Risk-Based, Pro-Poor Urban Design and Planning for Tomorrow’s Cities. International Journal of Disaster Risk Reduction, (in press).
11. Cremen, G., Zuccolo E., Galasso, C. (2021). Accuracy and uncertainty analysis of selected methodological approaches to earthquake early warning in Europe. Seismological Research Letters, (in press).
10. Cremen, G. & Galasso, C. (2021). An end-user-oriented methodology for short-term time-dependent earthquake risk management. Computer-Aided Civil and Infrastructure Engineering, (in press).
9. Cremen, G. & Baker, J. W. (2020). Variance-based sensitivity analyses and uncertainty quantification for FEMA P-58 consequence predictions. Earthquake Engineering & Structural Dynamics, (in press).
8. Velazquez, O., Pescaroli, G., Cremen, G., & Galasso, C. (2020) A review of the technical and socio-organisational components of earthquake early warning systems. Frontiers in Earth Science/Geohazards and Georisks, (in press).
7. Cremen, G. & Werner, M.J. (2020). A novel approach to assessing nuisance risk from seismicity induced by UK shale gas development, with implications for future policy design. Natural Hazards and Earth System Sciences, (in press).
6. Cremen, G. & Galasso, C. (2020). Earthquake early warning: Recent advances and perspectives. Earth-Science Reviews, 103184.
5. Cremen, G., Werner M.J., & Baptie, B. (2020). A new procedure for evaluating ground motion models, with application to hydraulic-fracture-induced seismicity in the UK. Bulletin of the Seismological Society of America, (in press).
4. Cremen, G., Seville, E. , & Baker, J. W. (2019). Modeling post-earthquake business recovery time: An analytical framework. International Journal of Disaster Risk Reduction, 101328.
3. Cremen, G. & Baker, J. W. (2019). Improving FEMA P-58 non-structural component fragility functions and loss predictions. Bulletin of Earthquake Engineering, 17(4), 1941-1960.
2. Cremen, G. & Baker, J. W. (2019). A methodology for evaluating component-level loss predictions of the FEMA P-58 seismic performance assessment procedure. Earthquake Spectra, 35(1), 193-210.
1. Cremen, G. & Baker, J. W. (2018). Quantifying the benefits of building instruments to FEMA P-58 rapid post-earthquake damage and loss predictions. Engineering Structures, 176, 243-253.
7. Cremen G., Werner M.J., & Baptie, B. (2020). Understanding the implications of seismicity induced by UK shale gas development, 17th World Conference on Earthquake Engineering, Sendai, Japan.
6. Iacoletti, S., Cremen G., & Galasso, C. (2020). Impact of time-dependent earthquake recurrence modelling on probabilistic seismic hazard analysis, 17th World Conference on Earthquake Engineering, Sendai, Japan.
5. Markhvida, M., Cremen G., Grujic, O., & Baker, J.W. (2020). Methods for evaluation and treatment of epistemic uncertainty in portfolio losses due to earthquakes, 17th World Conference on Earthquake Engineering, Sendai, Japan.
4. Cremen G., Werner M.J., & Baptie, B. (2019). Understanding induced seismicity hazard related to shale gas exploration in the UK, SECED 2019 Conference, London, UK.
3. Cremen, G. & Baker, J. W. (2018). Quantifying the benefits of building instruments to FEMA P-58 damage and loss predictions, 11th U.S. National Conference on Earthquake Engineering, Los Angeles, California, USA.
2. Cremen, G., Gupta, A., & Baker, J. W. (2017). Evaluation of ground motion intensities from induced earthquakes using “Did You Feel It?” data, 16th World Conference on Earthquake Engineering, Santiago, Chile.
1. Baker, J. W., Cremen, G., Giovinazzi, S., & Seville, E. (2016). Benchmarking FEMA P-58 performance predictions against observed earthquake data–A preliminary evaluation for the Canterbury earthquake sequence, 2016 Annual Conference of the New Zealand Society for Earthquake Engineering, Christchurch, New Zealand.