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 2021-04-01 to 2025-04-01.)
ArticleCitations
A New Numerical Simulation Framework to Model the Electric Interfacial Polarization Effects and Corresponding Impacts on Complex Dielectric Permittivity Measurements in Sedimentary Rocks77
Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling41
Mapping the Evolution of Mathematical Geoscience Research with Big Literature Data and Context-Aware Text Mining41
The Editor’s Best Reviewer Award 202039
2023 Andrei Borisovich Vistelius Research Award: Shaunna Morrison35
2.5D Hexahedral Meshing for Reservoir Simulations34
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency31
A Method to Extract Image Features and Lineaments Based on a Multi-hillshade Continuous Wavelet Transform30
Geostatistical Facies Simulation based on Training Image Using Generative Networks and Gradual Deformation30
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy28
Real-time Uncertain Geological Boundaries Updating for Improved Block Model Quality Control Based on Blast Hole Data: A Case Study for Golgohar Iron Ore Mine in Southeastern Iran26
The Anomaly Detector, Semi-supervised Classifier, and Supervised Classifier Based on K-Nearest Neighbors in Geochemical Anomaly Detection: A Comparative Study25
Unbiased Proxy Calibration24
Automatic Semivariogram Modeling by Convolutional Neural Network22
Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments19
Stochastic Modeling of Stratospheric Temperature18
A Monte Carlo-based Workflow for Geochemical Anomaly Identification Under Uncertainty and Global Sensitivity Analysis of Model Parameters17
Correction to: Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations16
Stochastic Modeling of Subseismic Faults Conditioned on Displacement and Orientation Maps14
Weighting of Parts in Compositional Data Analysis: Advances and Applications14
Teaching Numerical Groundwater Flow Modeling with Spreadsheets14
Dario Grana, Tapan Mukerji, and Philippe Doyen: Seismic Reservoir Modeling: Theory, Examples, and Algorithms13
Generalized Solution for Double-Porosity Flow Through a Graded Excavation Damaged Zone13
Properties and Comparison of Some Kriging Sub-model Aggregation Methods13
Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs12
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation12
Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty12
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 and12
Quantification of Fracture Roughness by Change Probabilities and Hurst Exponents11
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability11
A New Non-stationary High-order Spatial Sequential Simulation Method11
Long-Term Copper Production to 210011
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm11
Porosity Dynamics through Carbonate-Reaction Kinetics in High-Temperature Aquifer Storage Applications11
Compositional Scalar-on-Function Regression with Application to Sediment Particle Size Distributions10
A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling9
Adaptive POD-Galerkin Technique for Reservoir Simulation and Optimization9
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data8
Three-Dimensional Structural Geological Modeling Using Graph Neural Networks8
Best Paper Award 20208
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods8
Graph Deep Learning Model for Mapping Mineral Prospectivity8
A Mimetic Finite-Difference Method for Two-Dimensional DC Resistivity Modeling8
Causality Inference: A Comparison of Two Methods with Application to North Atlantic Oscillation and Rainfall in Greece8
Mathematical Geosciences Best Paper Award 20218
Surface Warping Incorporating Machine Learning Assisted Domain Likelihood Estimation: A New Paradigm in Mine Geology Modeling and Automation8
Extension of Fourier Neural Operator from Three-Dimensional (x, y, t) to Four-Dimensional (x, y, z, t) Subsurface Flow Simulation7
Quantifying the Tetrad Effect, Shape Components, and Ce–Eu–Gd Anomalies in Rare Earth Element Patterns7
Taking Better Advantage of Fold Axis Data to Characterize Anisotropy of Complex Folded Structures in the Implicit Modeling Framework7
Teaching Groundwater Flow and Contaminant Transport Modeling via a Sand-Tank Model7
Stochastic Geomodeling of Karst Morphology by Dynamic Graph Dissolution7
Parameter Estimation for a Mixed Copula Based on Renyi Entropy: A Case Study of Annual Precipitation7
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping7
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System6
Three-Dimensional Refined Modelling of Deep Structures by Using the Level Set Method: Application to the Zhaoping Detachment Fault, Jiaodong Peninsula, China6
Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model6
Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data6
Monitoring Mining Activity and Vegetation Recovery in Rare Earth Element Mining Areas6
Using Pattern Counts to Quantify the Difference Between a Pair of Three-Dimensional Realizations6
Multivariate Geostatistical Simulation and Deep Q-Learning to Optimize Mining Decisions6
Spatial-Spectrum Two-Branch Model Based on a Superpixel Graph Convolutional Network and 1DCNN for Geochemical Anomaly Identification6
High-Order Data-Driven Spatial Simulation of Categorical Variables5
Projection Pursuit Random Forest for Mineral Prospectivity Mapping5
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint5
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation5
Special Issue: Geostatistics Applied to Environmental Applications5
Regularisation and Deregularisation of Covariances and Variograms for Univariate Random Functions in One-dimensional Space5
Multivariate Cross-Validation and Measures of Accuracy and Precision5
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping5
The Geographical Pattern of Local Statistical Dispersion of Environmental Radon in Europe5
Towards a Model-Based Interpretation of Measurements of Mineralogical and Chemical Compositions5
Optimization of Borehole Thermal Energy Storage Systems Using a Genetic Algorithm5
On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards5
Missing Rainfall Daily Data: A Comparison Among Gap-Filling Approaches5
An Interpretable Graph Attention Network for Mineral Prospectivity Mapping4
Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms4
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region4
Hybrid Parametric Classes of Isotropic Covariance Functions for Spatial Random Fields4
Simulation Enhancement GAN for Efficient Reservoir Simulation at Fine Scales4
Contaminant Source Identification in Aquifers: A Critical View4
Application of the Method of Symmetrical Balances to Aitchison's Rock Suites4
Multi-station Joint Runoff Forecasting Using Graph Neural Network Coupled with Spatial Connectivity of Hydrological Stations4
Updating Local Anisotropies with Template Matching During Geostatistical Seismic Inversion3
Modeling Extreme Precipitation Data in a Mining Area3
Effectiveness of Neural Kriging for Three-Dimensional Modeling of Sparse and Strongly Biased Distribution of Geological Data with Application to Seafloor Hydrothermal Mineralization3
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks3
Robust Optimization Using the Mean Model with Bias Correction3
Geostatistics in the Presence of Multivariate Complexities: Comparison of Multi-Gaussian Transforms3
Ensemble-Based Seismic and Production Data Assimilation Using Selection Kalman Model3
Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada3
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces3
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models3
Correction: Geostatistical Rock Physics Inversion for Predicting the Spatial Distribution of Porosity and Saturation in the Critical Zone3
Palaeoenvironmental Reconstruction of a Lower Pleistocene Stratigraphic Section in Sousaki Basin, Greece, Using Fuzzy Cognitive Maps3
Joint Clarification of Contaminant Plume and Hydraulic Transmissivity via a Geostatistical Approach Using Hydraulic Head and Contaminant Concentration Data3
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification3
Using Three-dimensional Modeling and Random Forests to Predict Deep Ore Potentials: A Case Study on Xiongcun Porphyry Copper–Gold Deposit in Tibet, China3
Quantifying and Analyzing the Uncertainty in Fault Interpretation Using Entropy2
Identification of Mineralization in Geochemistry for Grid Sampling Using Generalized Additive Models2
Incorporating Spatial Information for Regionalization of Environmental Parameters in Machine Learning Models2
Continuous Wavelet Transform and Dynamic Time Warping-Based Fine Division and Correlation of Glutenite Sedimentary Cycles2
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations2
A Dynamic Extreme Value Model with Application to Volcanic Eruption Forecasting2
From Fault Likelihood to Fault Networks: Stochastic Seismic Interpretation Through a Marked Point Process with Interactions2
Conditional Generative Adversarial Networks for Multivariate Gaussian Subsurface Modeling: How Good Are They?2
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns2
Sequential Simulation of a Conditional Boolean Model2
An Embedded Model Estimator for Non-Stationary Random Functions Using Multiple Secondary Variables2
2023 Andrei Borisovich Vistelius Research Award2
A Novel Index for Quantifying Small-Scale Resource Heterogeneity2
Scale-Independent Variation Rates of Phanerozoic Environmental Variables and Implications for Earth’s Sustainability and Habitability1
Solving Geophysical Inversion Problems with Intractable Likelihoods: Linearized Gaussian Approximations Versus the Correlated Pseudo-marginal Method1
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 Basin1
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–20171
Modeling of the Correlation Between Mineral Size and Shale Pore Structure at Meso- and Macroscales1
Seasonal Signal Extraction from GPS Coordinate Time Series Using Low-Rank Matrix Approximation Based on Nonconvex Log-Sum Function Minimization1
The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators1
Importance Weighting in Hybrid Iterative Ensemble Smoothers for Data Assimilation1
Vertical Stacking Statistics of Multi-facies Object-Based Models1
Special Issue: Geostatistics Toronto 20211
MWD Data-Based Marble Quality Class Prediction Models Using ML Algorithms1
Mineral Prospectivity Mapping Based on a Novel Self-Ensembling Graph Convolutional Network1
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations1
Spatial Multivariate Morphing Transformation1
Non-Gaussian Ensemble Optimization1
Space–Time Distribution of Trichloroethylene Groundwater Concentrations: Geostatistical Modeling and Visualization1
Identification of Mineralization in Geochemistry Along a Transect Based on the Spatial Curvature of Log-Ratios1
Deep Reinforcement Learning for Mineral Prospectivity Mapping1
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity1
Geographically Optimal Similarity1
Reconstruction of GPS Coordinate Time Series Based on Low-Rank Hankel Matrix Recovery1
Fracability Evaluation Based on the Three-Dimensional Geological Numerical Simulation of In Situ Stress: Case Study of the Longmaxi Formation in the Weirong Shale Gas Field, Southwestern China1
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network1
Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration1
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System1
Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making1
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment1
Ensemble Machine Learning Geostatistical Hybrid Models for Grade Control1
Waterflood Efficiency Assessment Using Injection–Production Relationship Analysis Method1
A Nonlinear Dynamical Model for Monthly Runoff Forecasting in Situations of Small Samples1
EpiGeostats: An R Package to Facilitate Visualization of Geostatistical Disease Risk Maps1
New Validity Conditions for the Multivariate Matérn Coregionalization Model, with an Application to Exploration Geochemistry1
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions1
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm1
A Graph-Theoretic Monte Carlo Framework for Comparing Delta Surface Dynamics and Subsurface Structure in Numerical Models and Physical Experiments1
Ghislain de Marsily: A Life Dedicated to Hydrology and Earth Sciences1
Spatial Interpolation and Conditional Map Generation Using Deep Image Prior for Environmental Applications1
Improved Fracture Segmentation from Unwrapped Drill-Core Images Using an Innovative Two-Stage Segmentation Approach1
Lithology Identification of Imbalanced Well Log Data Based on Diffusion Model and Multiscale CNN1
Insights in Hierarchical Clustering of Variables for Compositional Data1
Special Issue: Geostatistics and Machine Learning1
Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets1
Geostatistical Rock Physics Inversion for Predicting the Spatial Distribution of Porosity and Saturation in the Critical Zone1
Compression-based Facies Modelling1
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