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 16. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor155
Reliability-based optimization in climate-adaptive design of embedded footing34
High-order shape functions-based KL expansion for discretizing irregular and multi-dimensional random fields27
Predicting large diameter pile running in spatially variable soils26
Machine learning based subsurface modelling using geological exploration data: a comprehensive review25
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays23
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application22
Experimental modelling of spudcan penetration in spatially variable soils22
The modified life cycle cost method for the risk-based design of excavation projects21
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China20
Time series analysis and gated recurrent neural network model for predicting landslide displacements19
Centrifuge shaking table tests on the seismic response of an underground structure in saturated coral sand18
Novel copula-based iHLRF-X algorithm for assessing reliability of geo-structures18
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope17
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”17
A novel self-sensing spudcan for real-time safety assessment16
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm16
Abnormal behaviour in Atatürk dam created by internal erosion16
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H16
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