| NDE1. 0: a new database of earthquake data recordings from buildings for engineering applications A Astorga, P Guéguen, S Ghimire, T Kashima Bulletin of Earthquake Engineering 18 (4), 1321-1344, 2020 | 23 | 2020 |
| Testing machine learning models for seismic damage prediction at regional scale using building-damage dataset compiled after 2015 Gorkha Nepal earthquake S Ghimire, P Gueguen, S Giffard-Roisin, D Schorlemmer Earthquake Spectra, 2022 | 22 | 2022 |
| Fragility curves for wide-flange steel columns and implications for building-specific earthquake-induced loss assessment A Elkady, S Ghimire, DG Lignos Earthquake Spectra 34 (3), 1405-1429, 2018 | 21 | 2018 |
| Earthquake early warning system for structural drift prediction using machine learning and linear regressors AG Iaccarino, P Gueguen, M Picozzi, S Ghimire Frontiers in Earth Science 9, 666444, 2021 | 16 | 2021 |
| Analysis of the efficiency of intensity measures from real earthquake data recorded in buildings S Ghimire, P Guéguen, A Astorga Soil Dynamics and Earthquake Engineering 147, 106751, 2021 | 13 | 2021 |
| Testing machine learning models for heuristic building damage assessment applied to the Italian Database of Observed Damage (DaDO) S Ghimire, P Guéguen, A Pothon, D Schorlemmer Natural Hazards and Earth System Sciences Discussions 2023, 1-29, 2023 | 1 | 2023 |
| Capacity curves for monitored existing buildings and within-and between-building variability of secant stiffness S Ghimire, P Guéguen Bulletin of Earthquake Engineering, 1-19, 2024 | | 2024 |
| Host-to-target region testing of machine learning models for seismic damage prediction in buildings S Ghimire, P Guéguen Natural Hazards, 1-17, 2024 | | 2024 |
| Data-driven-based models for seismic damage assessment of buildings: using machine learning at a regional scale and in-situ structural monitoring at building scale S Ghimire Université Grenoble Alpes [2020-....], 2023 | | 2023 |
| Testing machine learning models for building damage assessment applied to the Italian Database of Observed Damage (DaDO) S Ghimire, P Gueguen XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | | 2023 |
| Testing machine learning algorithms for earthquake building damage prediction S Ghimire, P Gueguen Third European Conference on Earthquake Engineering and Seismology – 3ECEES …, 2022 | | 2022 |
| Earthquake Damage Prediction of Buildings in Nepal using Machine Learning tools S Ghimire, P Gueguen, S Danijel VIKASH, A Journal of Development, Special issue on Nepal’s Post Earthquake …, 2021 | | 2021 |
| Intensity measure and engineering demand parameter for natural and induced seismicity. S Ghimire, P Gueguen, S Danijel https://urbasis-eu.osug.fr/Scientific-Reports-157, 2021 | | 2021 |
