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

Papers
(The TQCC of Georisk-Assessment and Management of Risk for Engineered Systems and G is 5. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Future of machine learning in geotechnics58
Challenges in data-driven site characterization54
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow29
Hydro-geomorphic assessment of erosion intensity and sediment yield initiated debris-flow hazards at Wadi Dahab Watershed, Egypt21
Design charts for reliability assessment of rock bedding slopes stability against bi-planar sliding: SRLEM and BPNN approaches18
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes16
Surface altering optimisation in slope stability analysis with non-circular failure for random limit equilibrium method16
Spatio-temporal cluster analysis of recent Italian landslides15
Probabilistic estimation of variogram parameters of geotechnical properties with a trend based on Bayesian inference using Markov chain Monte Carlo simulation14
Hierarchical Bayesian approaches to statistical modelling of geotechnical data13
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data13
An efficient Bayesian method for estimating runout distance of region-specific landslides using sparse data13
Statistical significance of tropical cyclone forward speed on storm surge generation: retrospective analysis of best track and tidal data in Japan12
Benchmark examples for data-driven site characterisation12
Non-parametric modelling and simulation of spatiotemporally varying geo-data12
Improved landslide susceptibility mapping using unsupervised and supervised collaborative machine learning models11
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India11
Definition and application of a multi-criteria algorithm to identify landslide acceleration phases10
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis10
Practical dynamic reliability analysis with spatiotemporal features in geotechnical engineering9
Uncertainty quantification in the bearing capacity estimation for shallow foundations in sandy soils9
Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model8
Mobilisation-based characteristic value of shear strength for ultimate limit states8
Time capsule for geotechnical risk and reliability8
Prediction of shear strength parameters of hydrocarbon contaminated sand based on machine learning methods7
A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating7
A novel approach for displacement interval forecasting of landslides with step-like displacement pattern7
Probabilistic back analysis for rainfall-induced slope failure using MLS-SVR and Bayesian analysis7
Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”7
Quantitative assessment of ground deformation risks, controlling factors and movement trends for onshore petroleum and gas industry using satellite Radar remote sensing and spatial statistics6
What is a characteristic value for soils?6
Data-driven subsurface modelling using a Markov random field model6
A data-driven fuzzy model for prediction of rockburst6
Observational method as risk management tool: the Hvalfjörður tunnel project, Iceland6
A methodological approach to assess the territorial vulnerability in terms of people and road characteristics6
Performance-based assessment of permanent displacement of soil slopes using two-dimensional dynamic analysis6
Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches6
Risk management procedure to understand and interpret the geotechnical context6
A Bayesian hindcasting method of levee failures applied to the Breitenhagen slope failure6
Effect of borehole location on pile performance5
Importance sampling for system reliability analysis of soil slopes based on shear strength reduction5
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope5
Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability5
Time capsule for landslide risk assessment5
Special issue on “Machine learning and AI in geotechnics”5
Reliability-based design optimisation of geotechnical systems using a decoupled approach based on adaptive metamodels5
Metamodelling for geotechnical reliability analysis with noisy and incomplete models5
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China5
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