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 12. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Future of machine learning in geotechnics87
Challenges in data-driven site characterization63
Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow39
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India20
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes19
Spatio-temporal cluster analysis of recent Italian landslides18
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data16
Improved landslide susceptibility mapping using unsupervised and supervised collaborative machine learning models15
Hierarchical Bayesian approaches to statistical modelling of geotechnical data15
Benchmark examples for data-driven site characterisation13
An efficient Bayesian method for estimating runout distance of region-specific landslides using sparse data13
Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China13
0.055685997009277