OOIR: Observatory of International Research

Papers

(The TQCC of Georisk-Assessment and Management of Risk for Engineered Systems and G is 6. 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.)

Article	Citations
Effects of random heterogeneity of soil on VH failure envelopes of the torpedo anchor	155
Reliability-based optimization in climate-adaptive design of embedded footing	34
High-order shape functions-based KL expansion for discretizing irregular and multi-dimensional random fields	27
Predicting large diameter pile running in spatially variable soils	26
Machine learning based subsurface modelling using geological exploration data: a comprehensive review	25
Numerical modelling of the keying process for a suction embedded plate anchor in spatially varying clays	23
A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application	22
Experimental modelling of spudcan penetration in spatially variable soils	22
The modified life cycle cost method for the risk-based design of excavation projects	21
Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China	20
Time series analysis and gated recurrent neural network model for predicting landslide displacements	19
Novel copula-based iHLRF-X algorithm for assessing reliability of geo-structures	18
Centrifuge shaking table tests on the seismic response of an underground structure in saturated coral sand	18
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
Effect of uncertainties in geometry, inter-layer boundary and shear strength properties on the probabilistic stability of a 3D embankment slope	17
Risk prediction of coal mine rock burst based on machine learning and feature selection algorithm	16
Abnormal behaviour in Atatürk dam created by internal erosion	16
Characterizing multivariate, asymmetric, and multimodal distributions of geotechnical data with dual-stage missing values: BASIC-H	16
A novel self-sensing spudcan for real-time safety assessment	16
On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis	14
Stochastic numerical analyses to investigate the effects of the spatial nonuniformity of offshore ground on the serviceability of monopile foundations	13
Modelling construction performance variability for probabilistic time estimation of tunnelling projects	13
Load and resistance factor design versus reliability-based design of shallow foundations	12
Reliability analysis of shallow foundation using the important-region-based method	12
Optimizing number, locations, and types of ground investigations for slope stability assessment with value of information analysis	12

A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil	11
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China	11
Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway	11
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	11
Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide	10
Bayesian inversion for parameter estimation of advanced soil constitutive model and associated uncertainty quantification: Transitional Markov Chain Monte Carlo versus Particle Filtering	10
Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS)	10
Probabilistic earthquake-tsunami financial risk evaluation for the District of Tofino, British Columbia, Canada	9
Risk-informed adaptive sampling strategy for liquefaction severity mapping	9
2D and 3D numerical modelling for preliminary assessment of long-term deterioration in Irish glacial till geotechnical slopes	9
Correction	9
Multi-criteria risk assessment of thermal comfort in deep underground mines: an integrated evaluation framework and case studies	9
A case study of resistance factors for bearing capacity of shallow foundations using plate load test data in Korea	9
Calibrating soil erodibility parameters of landslide dams using back analyses	8
A multi-objective physics-informed machine learning framework for landslide susceptibility mapping	8
A long short-term memory framework for surface intensity prediction using source and borehole parameters for improved seismic hazard assessment	8
John T. Christian (1936–2022)	8
Intelligent risk assessment of co-seismic landslide susceptibility using multi-directional seismic ground motion parameters	8
Development of a probabilistic seismic microzonation software considering geological and geotechnical uncertainties	8
Regional seismic loss estimation and critical earthquake scenarios for the Western Quebec seismic zone	8
A new method for evaluating leakage through composite liners considering uncertainties in geomembrane holes	8
Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength	7
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint	7
Evaluation structures for machine learning models in geotechnical engineering	7
Databases for data-centric geotechnics: geotechnical structures	7
A new approach to constructing SPT-CPT correlation for sandy soils	7
Data-driven probabilistic reconstruction of incomplete series extremes for tunnel health monitoring	7
Effects of complex surficial geology on seismic amplification in Quebec, Canada	7
Multivariate correlation analysis of mechanical parameters of marine soft soil in Jiangsu, China	7
Prediction method for rockburst risk using unsupervised clustering in small sample scenarios	7
Physics-informed data-driven modelling and computation in geotechnics	7
Prediction of normalized shear modulus and damping ratio for granular soils over a wide strain range using deep neural network modelling	7
Stacking model based on six base classifiers to improve prediction of soil liquefaction: a multi-dataset study	7
Reliability design of monopile foundations in spatially variable soil considering random loads	6
Data-driven subsurface modelling using a Markov random field model	6
Quantifying risk contagion of fluvial flood disaster chain	6
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection	6
Machine learning-integrated landslide susceptibility modelling addressing spatial correlation in grid-based environmental factors	6
Optimising creep constitutive modelling of layered soft rocks using particle swarm method	6
Enhancing geological hazard risk assessment through stacking ensemble learning	6
Seismic site amplification prediction- an integrated Bayesian optimisation explainable machine learning approach	6
Multi-temporal landslide inventory (2014–2022) associated with the Ms 6.5 Ludian earthquake in Yunnan, China	6
Uncertainty analysis of mechanical response of surrounding rock in deeply buried tunnels using machine learning and global optimisation algorithms	6
Learning approaches to cost–benefit decision analysis of pile designs from site investigation plans	6
Risk assessment for regional submarine landslides integrating AutoML with AHP-EWM approach: a case study from the South-West Iberian sea	6
Review of safety and reliability insights for sheet pile wall design	6
System reliability and sensitivity analysis of lateral loaded pile considering soil’s spatial variability	6
Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning	6