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 2020-07-01 to 2024-07-01.)
ArticleCitations
Future of machine learning in geotechnics70
Challenges in data-driven site characterization58
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow34
Design charts for reliability assessment of rock bedding slopes stability against bi-planar sliding: SRLEM and BPNN approaches20
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes18
Spatio-temporal cluster analysis of recent Italian landslides16
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data15
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India15
Hierarchical Bayesian approaches to statistical modelling of geotechnical data15
An efficient Bayesian method for estimating runout distance of region-specific landslides using sparse data13
Improved landslide susceptibility mapping using unsupervised and supervised collaborative machine learning models12
Benchmark examples for data-driven site characterisation12
Definition and application of a multi-criteria algorithm to identify landslide acceleration phases11
Non-parametric modelling and simulation of spatiotemporally varying geo-data11
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China11
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis10
Time capsule for geotechnical risk and reliability10
Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model10
Probabilistic back analysis for rainfall-induced slope failure using MLS-SVR and Bayesian analysis9
Practical dynamic reliability analysis with spatiotemporal features in geotechnical engineering9
Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”8
Time capsule for landslide risk assessment8
Mobilisation-based characteristic value of shear strength for ultimate limit states8
A novel approach for displacement interval forecasting of landslides with step-like displacement pattern8
Risk management procedure to understand and interpret the geotechnical context7
A comparative study of Bayesian inverse analyses of spatially varying soil parameters for slope reliability updating7
Prediction of shear strength parameters of hydrocarbon contaminated sand based on machine learning methods7
Observational method as risk management tool: the Hvalfjörður tunnel project, Iceland7
Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches7
Reliability-based design optimisation of geotechnical systems using a decoupled approach based on adaptive metamodels7
Data analytics in geotechnical and geological engineering6
What is a characteristic value for soils?6
A methodological approach to assess the territorial vulnerability in terms of people and road characteristics6
A Bayesian hindcasting method of levee failures applied to the Breitenhagen slope failure6
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
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope6
Bayesian learning of Gaussian mixture model for calculating debris flow exceedance probability6
Performance-based assessment of permanent displacement of soil slopes using two-dimensional dynamic analysis6
Data-driven subsurface modelling using a Markov random field model6
Real-time tunnel lining crack detection based on an improved You Only Look Once version X algorithm6
Special issue on “Machine learning and AI in geotechnics”5
Optimal placement of sampling locations for identification of a two-dimensional space5
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China5
Digitisation, sustainability, and disruption – promoting a more balanced debate on risk in the geotechnical community5
Transformation models for the compressibility properties of Finnish clays using a multivariate database5
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application5
Metamodelling for geotechnical reliability analysis with noisy and incomplete models5
On prediction of slope failure time with the inverse velocity method5
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint5
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