Mathematical Geosciences

Papers
(The median citation count of Mathematical Geosciences is 1. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Quantification of Fracture Roughness by Change Probabilities and Hurst Exponents90
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation50
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm40
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency38
Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT36
Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty35
Stochastic Modeling of Stratospheric Temperature34
2025 Andrei Borisovich Vistelius Research Award: Anirudh Prabhu34
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability33
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy26
Mathematical Geosciences Best Paper Award 202125
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning22
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint20
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping19
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification18
Efficient Approximations of Effective Permeability of Fractured Porous Media Using Machine Learning: A Computational Geometry Approach18
Pore Structure Characteristics and Their Diagenetic Influence: A Case Study of Paleogene Sandstones from the Pinghu and Huagang Formations in the Xihu Depression, East China Sea Basin17
Sequential Simulation of a Conditional Boolean Model16
Insights in Hierarchical Clustering of Variables for Compositional Data16
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm15
Acknowledgement of Reviewers for 202215
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network15
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System15
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions13
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–201713
Compression-based Facies Modelling13
Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification12
Uncertainty Propagation in Deep Gaussian Process Networks12
A Spline-Based Regularized Method for the Reconstruction of Complex Geological Models11
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching11
A Novel Progressive Many-Objective Optimization Approach for Engineering-Controllable Parameters of an Enhanced Geothermal System in the Gonghe Basin, China11
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework11
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content10
Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers10
Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling10
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation9
Sedimentary Stratigraphic Uncertainty: A Quantitative Analysis Framework Based on Information Theory and Stochastic Processes9
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope9
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning9
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping9
Seismic Data Denoising Using a Self-Supervised Deep Learning Network9
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal9
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization9
Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$\hbox {CO}_2$$ Sequestration in Saline Aquifers9
Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database9
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation8
Graph Deep Learning Model for Mapping Mineral Prospectivity8
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping8
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods8
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System8
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces7
Lithology Identification of Imbalanced Well Log Data Based on Diffusion Model and Multiscale CNN7
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks7
MWD Data-Based Marble Quality Class Prediction Models Using ML Algorithms7
A Statistical Study of Latent Diffusion Models for Geological Facies Modeling6
Extended Multiple Interacting Continua (E-MINC) Model Improvement with a K-Means Clustering Algorithm Based on an Equi-dimensional Discrete Fracture Matrix (ED-DFM) Model6
Geographically Optimal Similarity6
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity6
A Graph-Theoretic Monte Carlo Framework for Comparing Delta Surface Dynamics and Subsurface Structure in Numerical Models and Physical Experiments6
shinyNORRRM: A Cross-Platform Software to Calculate the CIPW Norm6
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region6
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science6
Modelling the Influence of Erosive Fluidization on the Morphology of Fluid Flow and Escape Structures6
Probability Transform of Kriging Estimates and Its Effects on Selection Bias and Conditional Bias6
And the 2022 Krumbein Medalist of the IAMG is…5
Targeting Method of Estimating Number of Undiscovered Mineral Deposits5
A Constrained Divisive-Compositional Approach to Micropalaeontological Ecozonation5
Seasonal Signal Extraction from GPS Coordinate Time Series Using Low-Rank Matrix Approximation Based on Nonconvex Log-Sum Function Minimization5
GenAI Minimum Acceptance Checks: Static and Dynamic Model-Checking of Conditioning Generative Artificial Intelligence Models for Subsurface Modeling5
Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)5
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China5
A Permeability Prediction Model of Single-Peak NMR T2 Distribution in Tight Sandstones: A Case Study on the Huangliu Formation, Yinggehai Basin, China4
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data4
Properties and Comparison of Some Kriging Sub-model Aggregation Methods4
Special Issue: Data-Driven Discovery in Geosciences: Opportunities and Challenges4
Stochastic Modelling of Mineral Exploration Targets4
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning4
Domain Adversarial Neural Network for Mapping Mineral Prospectivity4
Correction to: Surface Warping Incorporating Machine Learning Assisted Domain Likelihood Estimation: A New Paradigm in Mine Geology Modeling and Automation4
Sensitivity Analysis of Discrete Fracture Network Connectivity Characteristics4
The Editor’s Best Reviewer Award 20204
Parameter Estimation for a Mixed Copula Based on Renyi Entropy: A Case Study of Annual Precipitation3
Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data3
From Fault Likelihood to Fault Networks: Stochastic Seismic Interpretation Through a Marked Point Process with Interactions3
Extension of Fourier Neural Operator from Three-Dimensional (x, y, t) to Four-Dimensional (x, y, z, t) Subsurface Flow Simulation3
Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling3
Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs3
Long-Term Copper Production to 21003
Monitoring Mining Activity and Vegetation Recovery in Rare Earth Element Mining Areas3
Spatial Multivariate Morphing Transformation3
The Anomaly Detector, Semi-supervised Classifier, and Supervised Classifier Based on K-Nearest Neighbors in Geochemical Anomaly Detection: A Comparative Study3
Teaching Numerical Groundwater Flow Modeling with Spreadsheets3
Mapping the Evolution of Mathematical Geoscience Research with Big Literature Data and Context-Aware Text Mining3
Optimization of Borehole Thermal Energy Storage Systems Using a Genetic Algorithm3
Special Issue: Geostatistics Toronto 20213
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment3
Data-Driven Spectral Methods for Stochastic Surrogate Modeling and Efficient Data Assimilation in Subsurface Flows3
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data3
And the 2024 Krumbein Medalist of the IAMG is…2
Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration2
The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators2
Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making2
Subdivide and Conquer: Adapting Non-Manifold Subdivision Surfaces to Surface-Based Representation and Reconstruction of Complex Geological Structures2
Estimating Contaminated Soil Volumes Using a Generative Neural Network: A Hydrocarbon Case in France2
Local Ranking of Geological Conceptual Models in Non-stationary Settings Using Multi-point Geostatistics2
2025 Andrei Borisovich Vistelius Research Award: Guoxiong Chen2
A Riemannian Tool for Clustering of Geo-Spatial Multivariate Data2
Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada2
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations2
Unified Multi-structural Element Modeling Methods Using Icosahedral Discrete Global Grid Systems2
Quaternions for Rotations in Paleomagnetism2
Copula-based Modeling of Sea Surface Temperature and Chlorophyll-a Distributions2
Robust Optimization under Geological Uncertainty Using a TransUNet-Based Surrogate Model with EnOpt Algorithm2
Improved Fracture Segmentation from Unwrapped Drill-Core Images Using an Innovative Two-Stage Segmentation Approach2
Updating Local Anisotropies with Template Matching During Geostatistical Seismic Inversion2
Acknowledgement of Reviewers for 20232
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models2
A New Non-stationary High-order Spatial Sequential Simulation Method2
Machine Learning-Based Mapping for Mineral Exploration2
The Editor’s Best Reviewer Awards 20212
Modeling Extreme Precipitation Data in a Mining Area1
Spatial Interpolation and Conditional Map Generation Using Deep Image Prior for Environmental Applications1
Geostatistics in the Presence of Multivariate Complexities: Comparison of Multi-Gaussian Transforms1
The Geographical Pattern of Local Statistical Dispersion of Environmental Radon in Europe1
A New Numerical Simulation Framework to Model the Electric Interfacial Polarization Effects and Corresponding Impacts on Complex Dielectric Permittivity Measurements in Sedimentary Rocks1
Occurrence Apparent Velocities for Identification and Quantification of Space–Time Clustering Precursory to a Large Earthquake. Application to Large (M > 7.0) Earthquakes in Southern California and1
EpiGeostats: An R Package to Facilitate Visualization of Geostatistical Disease Risk Maps1
Three-Dimensional Inversion of Magnetic Anomalies Using a Low-Level Representation and an Evolution Strategy for Archaeological Studies1
Implicit Tetrahedral and Surface Mesh Generation for 3D Reservoir Structural Modeling1
Predicting Geothermal Heat Flow in the Bohai Bay Basin Based on Machine Learning Methods1
Semi-Analytical Three-Dimensional Solute Transport of Sequentially Decaying Species with Mobile-Immobile Regions, Sorption, Decay, and Arbitrary Transient Source1
An Embedded Model Estimator for Non-Stationary Random Functions Using Multiple Secondary Variables1
Modeling Geospatial Uncertainty of Geometallurgical Variables with Bayesian Models and Hilbert–Kriging1
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns1
Space–Time Distribution of Trichloroethylene Groundwater Concentrations: Geostatistical Modeling and Visualization1
Quantifying and Analyzing the Uncertainty in Fault Interpretation Using Entropy1
Projection Pursuit Random Forest for Mineral Prospectivity Mapping1
Generalized Solution for Double-Porosity Flow Through a Graded Excavation Damaged Zone1
Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets1
Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments1
Space–Time Landslide Susceptibility Modeling Based on Data-Driven Methods1
Advanced Permeability Prediction Through Two-Dimensional Geological Feature Image Extraction with CNN Regression from Well Logs Data1
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay1
A Stochastic Model of an Early Warning System for Detecting Anomalous Incidence Values of COVID-191
Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms1
Application of Supersplining to the Mesozoic and Paleozoic Geologic Time Scales1
New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry1
Teaching Numerical Groundwater Flow Modeling with Spreadsheets: Unconfined Aquifers and Multilayered Vertical Cross-Sections1
Simulation Enhancement GAN for Efficient Reservoir Simulation at Fine Scales1
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial Random Fields1
Unbiased Proxy Calibration1
Spatial-Spectrum Two-Branch Model Based on a Superpixel Graph Convolutional Network and 1DCNN for Geochemical Anomaly Identification1
Ghislain de Marsily: A Life Dedicated to Hydrology and Earth Sciences1
A Hybrid Estimation Technique Using Elliptical Radial Basis Neural Networks and Cokriging1
Two-Dimensional Stochastic Structural Geomodeling with Deep Generative Adversarial Networks1
Data-Driven Discovery of Sulfur Mineralogy1
Reducing the Effect of Incorrect Lithology Labels on the Training of Deep Neural Networks for Lithology Identification1
4.0473501682281