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 2022-01-01 to 2026-01-01.)
ArticleCitations
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation111
Stochastic Modeling of Stratospheric Temperature54
2025 Andrei Borisovich Vistelius Research Award: Anirudh Prabhu46
Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT46
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency43
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy38
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability37
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm30
Mathematical Geosciences Best Paper Award 202127
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field27
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping25
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint25
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning25
Uncertainty Quantification of Deep Learning Algorithms for Lithological Mapping23
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System23
Geophysical Logging Curve Reconstruction Based on Diff-Mamba Modeling23
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 Basin20
Insights in Hierarchical Clustering of Variables for Compositional Data19
Efficient Approximations of Effective Permeability of Fractured Porous Media Using Machine Learning: A Computational Geometry Approach19
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification18
Generalized Conditioning of Generative Artificial Intelligence for History Matching Subsurface Models17
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network16
Co-simulation of Geological Facies and Ore Grades in the Molaoi Polymetallic Orebody, Greece: A Geostatistical Application Using Advanced Modeling Techniques15
Acknowledgement of Reviewers for 202215
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm15
Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification14
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–201714
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions14
A Novel Progressive Many-Objective Optimization Approach for Engineering-Controllable Parameters of an Enhanced Geothermal System in the Gonghe Basin, China13
A Spline-Based Regularized Method for the Reconstruction of Complex Geological Models12
Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers11
Seismic Data Denoising Using a Self-Supervised Deep Learning Network11
Compression-based Facies Modelling11
Uncertainty Propagation in Deep Gaussian Process Networks11
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching11
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework11
Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$\hbox {CO}_2$$ Sequestration in Saline Aquifers11
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope10
Sedimentary Stratigraphic Uncertainty: A Quantitative Analysis Framework Based on Information Theory and Stochastic Processes10
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation10
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization10
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content10
Three-Dimensional Latent Diffusion Models for Parameterizing and History Matching Facies Systems Under Hierarchical Uncertainty10
2025 Andrei Borisovich Vistelius Research Award: Lijing Wang10
Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database10
Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling10
Fractal Dimension of Fracture Network: A Review and New Observations10
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal10
Coal Seam Geological Implicit Modeling with Fault Networks and Kinematic Parameters9
Graph Deep Learning Model for Mapping Mineral Prospectivity9
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping9
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning9
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods9
Evaluating the Stability of Deep Learning Latent Feature Space for Subsurface Modeling9
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping8
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System8
Geographically Optimal Similarity7
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
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation7
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region7
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks7
Seasonal Signal Extraction from GPS Coordinate Time Series Using Low-Rank Matrix Approximation Based on Nonconvex Log-Sum Function Minimization6
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science6
Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)6
Hybrid Empirical-Data-Driven Neural Network for Predicting Air-Entry Value in Unsaturated Soils6
MWD Data-Based Marble Quality Class Prediction Models Using ML Algorithms6
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
Modelling the Influence of Erosive Fluidization on the Morphology of Fluid Flow and Escape Structures6
Geostatistical Characterization of Climate Extremes Dynamics: The Drought Phenomenon6
Special Issue: Data-Driven Discovery in Geosciences: Opportunities and Challenges5
shinyNORRRM: A Cross-Platform Software to Calculate the CIPW Norm5
DoEHypOpt: An Efficient Approach of Hyperparameter Optimization in Machine Learning Using Design of Experiments Applied on Multivariate Permeability Modeling5
A Kernel-Based Non-parametric Approach for Data Gaussian Anamorphosis5
CurvRBF: Mean Curvature-Controllable Radial Basis Functions for Implicit Geological Modeling5
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity5
A Constrained Divisive-Compositional Approach to Micropalaeontological Ecozonation5
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China5
GenAI Minimum Acceptance Checks: Static and Dynamic Model-Checking of Conditioning Generative Artificial Intelligence Models for Subsurface Modeling5
A Statistical Study of Latent Diffusion Models for Geological Facies Modeling5
And the 2022 Krumbein Medalist of the IAMG is…5
Targeting Method of Estimating Number of Undiscovered Mineral Deposits5
Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data4
Bridging Deep Convolutional Autoencoders and Ensemble Smoothers for Improved Estimation of Channelized Reservoirs4
Stochastic Modelling of Mineral Exploration Targets4
Domain Adversarial Neural Network for Mapping Mineral Prospectivity4
A Permeability Prediction Model of Single-Peak NMR T2 Distribution in Tight Sandstones: A Case Study on the Huangliu Formation, Yinggehai Basin, China4
A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning4
Data-Driven Spectral Methods for Stochastic Surrogate Modeling and Efficient Data Assimilation in Subsurface Flows4
Monitoring Mining Activity and Vegetation Recovery in Rare Earth Element Mining Areas3
Improving Mineral Prospectivity Model Generalization: An Example from Orogenic Gold Mineralization of the Sturgeon Lake Transect, Ontario, Canada3
Spatial Multivariate Morphing Transformation3
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment3
A Riemannian Tool for Clustering of Geo-Spatial Multivariate Data3
Teaching Numerical Groundwater Flow Modeling with Spreadsheets3
The Anomaly Detector, Semi-supervised Classifier, and Supervised Classifier Based on K-Nearest Neighbors in Geochemical Anomaly Detection: A Comparative Study3
Extension of Fourier Neural Operator from Three-Dimensional (x, y, t) to Four-Dimensional (x, y, z, t) Subsurface Flow Simulation3
Special Issue: Geostatistics Toronto 20213
Unpacking Occupational Health Data in the Service Sector: From Bayesian Networking and Spatial Clustering to Policy-Making3
KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations3
The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators3
From Fault Likelihood to Fault Networks: Stochastic Seismic Interpretation Through a Marked Point Process with Interactions3
Properties and Comparison of Some Kriging Sub-model Aggregation Methods3
Long-Term Copper Production to 21003
Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data3
Parameter Estimation for a Mixed Copula Based on Renyi Entropy: A Case Study of Annual Precipitation3
Updating Local Anisotropies with Template Matching During Geostatistical Seismic Inversion3
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models3
Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration3
Optimization of Borehole Thermal Energy Storage Systems Using a Genetic Algorithm3
Mapping the Evolution of Mathematical Geoscience Research with Big Literature Data and Context-Aware Text Mining3
Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling3
2025 Andrei Borisovich Vistelius Research Award: Guoxiong Chen2
Three-Dimensional Spatial Reconstruction of Buried Peat Based on Legacy Borehole Data2
Improved Fracture Segmentation from Unwrapped Drill-Core Images Using an Innovative Two-Stage Segmentation Approach2
A Novel Method for Constructing Hexagonal Global Hierarchical Encoding Structures Using a Semi-Regular Tiling Model2
The Geographical Pattern of Local Statistical Dispersion of Environmental Radon in Europe2
Generalized Solution for Double-Porosity Flow Through a Graded Excavation Damaged Zone2
A New Numerical Simulation Framework to Model the Electric Interfacial Polarization Effects and Corresponding Impacts on Complex Dielectric Permittivity Measurements in Sedimentary Rocks2
Copula-based Modeling of Sea Surface Temperature and Chlorophyll-a Distributions2
Donald E Myers (1931–2025): Honoring a Life of Dedication as Scholar, Mentor and Friend2
Geostatistical Analysis of Seabed Sediment Type: A Compositional Approach with Non-Euclidean Distance Metrics2
And the 2024 Krumbein Medalist of the IAMG is…2
The Editor’s Best Reviewer Awards 20212
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
Unbiased Proxy Calibration2
Estimating Contaminated Soil Volumes Using a Generative Neural Network: A Hydrocarbon Case in France2
Machine Learning-Based Mapping for Mineral Exploration2
A New Non-stationary High-order Spatial Sequential Simulation Method2
Robust Optimization under Geological Uncertainty Using a TransUNet-Based Surrogate Model with EnOpt Algorithm2
Quaternions for Rotations in Paleomagnetism2
Unified Multi-structural Element Modeling Methods Using Icosahedral Discrete Global Grid Systems2
Acknowledgement of Reviewers for 20232
Introduction to the Special Issue: How do Big Data, AI, and ML Challenge Geostatistical and Bayesian Formalisms?2
Local Ranking of Geological Conceptual Models in Non-stationary Settings Using Multi-point Geostatistics2
Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments2
Spatial-Spectrum Two-Branch Model Based on a Superpixel Graph Convolutional Network and 1DCNN for Geochemical Anomaly Identification2
Sparse Spectrum Representation of Gaussian Process Regression for Modeling Nonstationary Geo-Data from Limited Measurements2
Subdivide and Conquer: Adapting Non-Manifold Subdivision Surfaces to Surface-Based Representation and Reconstruction of Complex Geological Structures2
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