OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor	106
Experimental modelling of spudcan penetration in spatially variable soils	49
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays	31
Worst-case effect in bearing capacity of spread foundations considering safety factors and anisotropy in soil spatial variability	23
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application	18
Reliability-based optimization in climate-adaptive design of embedded footing	18
Time series analysis and gated recurrent neural network model for predicting landslide displacements	17
The modified life cycle cost method for the risk-based design of excavation projects	17
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China	15
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm	13
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India	13
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope	13
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”	13
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H	13
Load and resistance factor design versus reliability-based design of shallow foundations	12
Stochastic numerical analyses to investigate the effects of the spatial nonuniformity of offshore ground on the serviceability of monopile foundations	12
On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis	11
Modelling construction performance variability for probabilistic time estimation of tunnelling projects	10
Optimizing number, locations, and types of ground investigations for slope stability assessment with value of information analysis	10
Influence of asynchronism between the spatial distribution of the hydraulic conductivity and shear strength parameters on the reliability assessment and failure mechanism of layered slopes	9
Reliability analysis of shallow foundation using the important-region-based method	9
Optimal placement of sampling locations for identification of a two-dimensional space	9
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil	8
Risk-informed adaptive sampling strategy for liquefaction severity mapping	8
Performance-based assessment of permanent displacement of soil slopes using two-dimensional dynamic analysis	8

Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China	8
Probabilistic earthquake-tsunami financial risk evaluation for the District of Tofino, British Columbia, Canada	8
2D and 3D numerical modelling for preliminary assessment of long-term deterioration in Irish glacial till geotechnical slopes	7
Spotlight article “What is a characteristic value for soils?”: T. Länsivaara, K.K. Phoon, and J. Ching	7
Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)	7
A case study of resistance factors for bearing capacity of shallow foundations using plate load test data in Korea	7
Regional seismic loss estimation and critical earthquake scenarios for the Western Quebec seismic zone	7
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway	7
A new method for evaluating leakage through composite liners considering uncertainties in geomembrane holes	7
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide	7
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data	7
Development of models for facing tensile forces of soil nail walls using statistical approaches	6
Correction	6
Evaluation structures for machine learning models in geotechnical engineering	6
A new approach to constructing SPT-CPT correlation for sandy soils	6
Calibrating soil erodibility parameters of landslide dams using back analyses	6
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis	6
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint	6
Quantification of statistical uncertainties of unconfined compressive strength of rock using Bayesian learning method	6
Development of a probabilistic seismic microzonation software considering geological and geotechnical uncertainties	6
John T. Christian (1936–2022)	6
Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning	5
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection	5
Inherent variability assessment from sparse property data of overburden soils and intermediate geomaterials using random field approaches	5
Quantifying risk contagion of fluvial flood disaster chain	5
Data-driven subsurface modelling using a Markov random field model	5
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling	5
Optimising creep constitutive modelling of layered soft rocks using particle swarm method	5
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow	5
An efficient approach for safety factor-based and reliability-based design of tunnel face support pressure using BP Neural Network	5
System reliability and sensitivity analysis of lateral loaded pile considering soil’s spatial variability	5
CPTu-SPT correlation analyses based on pairwise data in Southwestern Taiwan	5
Learning approaches to cost–benefit decision analysis of pile designs from site investigation plans	5
Deep learning-based GLOF modelling for hazard assessment and risk management	5
Influence of small-scale variable vs on small strain damping – a numerical study using high-frequency spectral decay parameter	5