Georisk-Assessment and Management of Risk for Engineered Systems and G

Papers
(The H4-Index of Georisk-Assessment and Management of Risk for Engineered Systems and G is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor111
Experimental modelling of spudcan penetration in spatially variable soils51
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays31
Reliability-based optimization in climate-adaptive design of embedded footing23
Worst-case effect in bearing capacity of spread foundations considering safety factors and anisotropy in soil spatial variability19
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application19
Time series analysis and gated recurrent neural network model for predicting landslide displacements18
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China17
The modified life cycle cost method for the risk-based design of excavation projects15
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm14
Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”14
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H13
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India13
Stochastic numerical analyses to investigate the effects of the spatial nonuniformity of offshore ground on the serviceability of monopile foundations13
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope13
Load and resistance factor design versus reliability-based design of shallow foundations13
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