| Reliability analysis with metamodel line sampling I Depina, TMH Le, G Fenton, G Eiksund Structural Safety 60, 1-15, 2016 | 94 | 2016 |
| Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow I Depina, S Jain, S Mar Valsson, H Gotovac Georisk: Assessment and Management of Risk for Engineered Systems and …, 2022 | 77 | 2022 |
| Behavior of cyclically loaded monopile foundations for offshore wind turbines in heterogeneous sands I Depina, TMH Le, G Eiksund, T Benz Computers and geotechnics 65, 266-277, 2015 | 73 | 2015 |
| Novel Bayesian framework for calibration of spatially distributed physical-based landslide prediction models. I Depina, EA Oguz, V Thakur Computers and Geotechnics 125, 103660, 2020 | 37 | 2020 |
| Cone penetration data classification with Bayesian Mixture Analysis I Depina, TMH Le, G Eiksund, P Strøm Georisk: Assessment and management of risk for engineered systems and …, 2016 | 25 | 2016 |
| Effects of soil heterogeneity on susceptibility of shallow landslides EA Oguz, I Depina, V Thakur Landslides 19 (1), 67-83, 2022 | 17 | 2022 |
| IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway EA Oguz, I Depina, B Myhre, G Devoli, H Rustad, V Thakur Bulletin of Engineering Geology and the Environment 81 (5), 217, 2022 | 16 | 2022 |
| Coupling the cross-entropy with the line sampling method for risk-based design optimization I Depina, I Papaioannou, D Straub, G Eiksund Structural and multidisciplinary optimization 55, 1589-1612, 2017 | 15 | 2017 |
| Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests C Godoy, I Đepina, V Thakur Journal of zhejiang university-science a 21 (6), 445-461, 2020 | 12 | 2020 |
| IoT-based strategies for risk management of rainfall-induced landslides: a review EA Oguz, K Robinson, I Depina, V Thakur Proceedings of the 7th International Symposium on Geotechnical Safety and …, 2019 | 11 | 2019 |
| Cone penetration data classification by Bayesian inversion with a Hidden Markov model A Krogstad, I Depina, H Omre Journal of Physics: Conference Series 1104 (1), 012015, 2018 | 10 | 2018 |
| Thermal regime of permafrost at Varandey settlement along the Barents sea coast, North West Arctic Russia TMH Le, I Depina, E Guegan, A Sinitsyn Engineering Geology 246, 69-81, 2018 | 8 | 2018 |
| Perfomance-based wind engineering assessment of critical telecommunication infrastructure subjected to bora wind I Depina, V Divić, A Munjiza, B Peroš Engineering structures 236, 112083, 2021 | 7 | 2021 |
| Reliability-based Design of a Monopile Foundation for Offshore Wind Turbines based on CPT Data. IE Overgård NTNU, 2015 | 6 | 2015 |
| Cone penetration data classification with Bayesian Mix ture Analysis. Georisk, 10 (1), 27–41 I Depina, TMH Le, G Eiksund, P Strøm | 5 | 2016 |
| Cyclic behavior of laterally loaded piles in soils with variable properties I Depina, TMH Le, G Eiksund, T Benz ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-13-199, 2013 | 4 | 2013 |
| QuickAware: a virtual reality tool for quick clay landslide hazard awareness GH Alene, I Depina, V Thakur, A Perkis, O Bruland Natural Hazards 120 (2), 1869-1898, 2024 | 3 | 2024 |
| A management tool to reduce the risk of damage caused by geotechnical groundworks L Piciullo, Y Bekele, I Depina, F Nadim, J Langford IOP Conference Series: Earth and Environmental Science 710 (1), 012073, 2021 | 3 | 2021 |
| Application of physicsinformed neural networks to inverse problems in unsaturated groundwater flow. Georisk: Assessment and Management of Risk for Engineered Systems and … I Depina, S Jain, S Valsson, H Gotovac | 3 | 2021 |
| Early warning of water-triggered landslides V Thakur, K Robinson, E Oguz, I Depina, A Pathania, P Kumar, ... Indian Geotechnical Conference 2019: Geotechnics for INfrastructure …, 2021 | 3 | 2021 |
