Mathematical Geosciences

Papers
(The median citation count of Mathematical Geosciences is 2. 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.)
ArticleCitations
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation135
2025 Andrei Borisovich Vistelius Research Award: Anirudh Prabhu68
Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT55
The Grid-Free Spatial Kernel Predictor for Huge Observation Sets53
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability47
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency41
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy33
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm32
Mathematical Geosciences Best Paper Award 202131
Perspective: Variable-Specific Cartogram-Based Spatiotemporal Visualization is a Way Forward31
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint28
Geophysical Logging Curve Reconstruction Based on Diff-Mamba Modeling24
Uncertainty Quantification of Deep Learning Algorithms for Lithological Mapping24
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field24
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning23
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification21
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping21
Upscaling Two-Dimensional and Three-Dimensional Porosity Bounds by Using High-Resolution Micro-CT Images in Andesitic Rock Samples19
Efficient Approximations of Effective Permeability of Fractured Porous Media Using Machine Learning: A Computational Geometry Approach19
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm19
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 Basin19
Co-simulation of Geological Facies and Ore Grades in the Molaoi Polymetallic Orebody, Greece: A Geostatistical Application Using Advanced Modeling Techniques18
Lithofacies Identification and Classification Based on Least Squares Support Vector Machine Optimized by Sparrow Search Algorithm17
Insights in Hierarchical Clustering of Variables for Compositional Data16
Prediction of Heterogeneous Shale Lithology in the Kaijiang–Liangping Trough Based on Dream Optimization Algorithm and Support Vector Machine16
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network15
A Spatially Aware Evidential Deep Learning Framework for Mineral Prospectivity Mapping and Uncertainty Evaluation15
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System14
Acknowledgement of Reviewers for 202213
Generalized Conditioning of Generative Artificial Intelligence for History Matching Subsurface Models13
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–201713
A Spline-Based Regularized Method for the Reconstruction of Complex Geological Models12
Uncertainty Propagation in Deep Gaussian Process Networks12
A Novel Progressive Many-Objective Optimization Approach for Engineering-Controllable Parameters of an Enhanced Geothermal System in the Gonghe Basin, China12
Compression-based Facies Modelling12
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions12
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework12
Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers11
Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling11
Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification11
Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$\hbox {CO}_2$$ Sequestration in Saline Aquifers11
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content11
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope11
Seismic Data Denoising Using a Self-Supervised Deep Learning Network11
Sedimentary Stratigraphic Uncertainty: A Quantitative Analysis Framework Based on Information Theory and Stochastic Processes11
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching11
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization10
Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database10
Fractal Dimension of Fracture Network: A Review and New Observations10
Deep Mineral Prospectivity Prediction via Integration of Spatiotemporal Dynamics Simulations with Long Short-Term Memory Networks: A Case Study of the Tongshan Deposit, China9
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning9
Uniform Conditioning Applied to the Selective Mining Unit as an Alternative to Localized Uniform Conditioning9
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation9
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping8
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal8
Three-Dimensional Latent Diffusion Models for Parameterizing and History Matching Facies Systems Under Hierarchical Uncertainty8
Probabilistic Modeling and Uncertainty Simulations of National-Scale Hydrostratigraphic Models: An Example from Denmark8
2025 Andrei Borisovich Vistelius Research Award: Lijing Wang8
Guidelines for Conducting Sensitivity Analyses in Process Simulations for Solid Earth Geosciences7
Graph Deep Learning Model for Mapping Mineral Prospectivity7
Coal Seam Geological Implicit Modeling with Fault Networks and Kinematic Parameters7
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping7
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods7
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System7
Evaluating the Stability of Deep Learning Latent Feature Space for Subsurface Modeling7
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks6
Lithology Identification of Imbalanced Well Log Data Based on Diffusion Model and Multiscale CNN6
MWD Data-Based Marble Quality Class Prediction Models Using ML Algorithms6
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation6
Geographically Optimal Similarity6
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces6
Prediction of Soil Parameters of Waste Fibers with Hybrid Metaheuristic Algorithm6
Generative Adversarial Networks for Improved Three-Dimensional Reservoir Modeling: Image Processing-Inspired Approaches and their Effects on Different Well Data Levels6
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region5
Geostatistical Characterization of Climate Extremes Dynamics: The Drought Phenomenon5
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science5
And the 2022 Krumbein Medalist of the IAMG is…5
shinyNORRRM: A Cross-Platform Software to Calculate the CIPW Norm5
Hybrid Empirical-Data-Driven Neural Network for Predicting Air-Entry Value in Unsaturated Soils5
Modelling the Influence of Erosive Fluidization on the Morphology of Fluid Flow and Escape Structures5
Extended Multiple Interacting Continua (E-MINC) Model Improvement with a K-Means Clustering Algorithm Based on an Equi-dimensional Discrete Fracture Matrix (ED-DFM) Model5
Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)5
Targeting Method of Estimating Number of Undiscovered Mineral Deposits5
A General Framework for Hierarchical Compression-Based Modelling5
Seasonal Signal Extraction from GPS Coordinate Time Series Using Low-Rank Matrix Approximation Based on Nonconvex Log-Sum Function Minimization5
A Statistical Study of Latent Diffusion Models for Geological Facies Modeling5
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity5
A Constrained Divisive-Compositional Approach to Micropalaeontological Ecozonation5
GenAI Minimum Acceptance Checks: Static and Dynamic Model-Checking of Conditioning Generative Artificial Intelligence Models for Subsurface Modeling4
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China4
Special Issue: Data-Driven Discovery in Geosciences: Opportunities and Challenges4
Data-Driven Spectral Methods for Stochastic Surrogate Modeling and Efficient Data Assimilation in Subsurface Flows4
CurvRBF: Mean Curvature-Controllable Radial Basis Functions for Implicit Geological Modeling4
DoEHypOpt: An Efficient Approach of Hyperparameter Optimization in Machine Learning Using Design of Experiments Applied on Multivariate Permeability Modeling4
A Permeability Prediction Model of Single-Peak NMR T2 Distribution in Tight Sandstones: A Case Study on the Huangliu Formation, Yinggehai Basin, China4
Domain Adversarial Neural Network for Mapping Mineral Prospectivity4
Long-Term Copper Production to 21004
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning4
A Kernel-Based Non-parametric Approach for Data Gaussian Anamorphosis4
Mineral Resource Disclosure with Probabilistic Models4
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data4
Mapping the Evolution of Mathematical Geoscience Research with Big Literature Data and Context-Aware Text Mining4
A Riemannian Tool for Clustering of Geo-Spatial Multivariate Data3
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment3
Spatial Multivariate Morphing Transformation3
Special Issue: Geostatistics Toronto 20213
Big Data Mining on Galena Geochemistry Using Machine Learning Algorithms: Implications for Metallogenic Discrimination3
Monitoring Mining Activity and Vegetation Recovery in Rare Earth Element Mining Areas3
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models3
The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators3
Well Log-Based Prediction of Elemental Composition: A Machine Learning Approach for Classifying Stratigraphic Members in the Epeiric Homoclinal Ramps3
Acknowledgement of Reviewers for 20233
Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration3
Improved Fracture Segmentation from Unwrapped Drill-Core Images Using an Innovative Two-Stage Segmentation Approach3
Updating Local Anisotropies with Template Matching During Geostatistical Seismic Inversion3
Optimization of Borehole Thermal Energy Storage Systems Using a Genetic Algorithm3
Advanced Geostatistics for Environmental Applications: geoENV20243
Parameter Estimation for a Mixed Copula Based on Renyi Entropy: A Case Study of Annual Precipitation3
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations3
Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada3
Donald E Myers (1931–2025): Honoring a Life of Dedication as Scholar, Mentor and Friend3
Geostatistical Analysis of Seabed Sediment Type: A Compositional Approach with Non-Euclidean Distance Metrics3
From Fault Likelihood to Fault Networks: Stochastic Seismic Interpretation Through a Marked Point Process with Interactions3
Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making3
HLF-SASR: A High–Low Frequency Guided Structure-Aware Super-Resolution Network for Digital Rock Images3
Extension of Fourier Neural Operator from Three-Dimensional (x, y, t) to Four-Dimensional (x, y, z, t) Subsurface Flow Simulation3
The Anomaly Detector, Semi-supervised Classifier, and Supervised Classifier Based on K-Nearest Neighbors in Geochemical Anomaly Detection: A Comparative Study3
Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data3
Three-Dimensional Spatial Reconstruction of Buried Peat Based on Legacy Borehole Data3
And the 2024 Krumbein Medalist of the IAMG is…3
A Comparative Analysis of Sampling Variance: Classical vs. Multi-Component Estimation of the Fundamental Sampling Error for a Gold Ore2
A New Non-stationary High-order Spatial Sequential Simulation Method2
A New Numerical Simulation Framework to Model the Electric Interfacial Polarization Effects and Corresponding Impacts on Complex Dielectric Permittivity Measurements in Sedimentary Rocks2
A Novel Method for Constructing Hexagonal Global Hierarchical Encoding Structures Using a Semi-Regular Tiling Model2
Unified Multi-structural Element Modeling Methods Using Icosahedral Discrete Global Grid Systems2
2025 Andrei Borisovich Vistelius Research Award: Guoxiong Chen2
Robust Optimization under Geological Uncertainty Using a TransUNet-Based Surrogate Model with EnOpt Algorithm2
The Hidden Variable in Sampling Protocols: A Review of Liberation Evolution through Subsampling and Comminution2
Unbiased Proxy Calibration2
Generalized Solution for Double-Porosity Flow Through a Graded Excavation Damaged Zone2
Sparse Spectrum Representation of Gaussian Process Regression for Modeling Nonstationary Geo-Data from Limited Measurements2
Introduction to the Special Issue: How do Big Data, AI, and ML Challenge Geostatistical and Bayesian Formalisms?2
Copula-based Modeling of Sea Surface Temperature and Chlorophyll-a Distributions2
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 and2
Seismic Pre-stack Inversion Using Iterative, Nonlinear Quasi-Second-Order Optimization Techniques2
Machine Learning-Based Mapping for Mineral Exploration2
Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments2
Estimating Contaminated Soil Volumes Using a Generative Neural Network: A Hydrocarbon Case in France2
The Editor’s Best Reviewer Awards 20212
Subdivide and Conquer: Adapting Non-Manifold Subdivision Surfaces to Surface-Based Representation and Reconstruction of Complex Geological Structures2
Quaternions for Rotations in Paleomagnetism2
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