Mathematical Geosciences

Papers
(The TQCC of Mathematical Geosciences is 6. 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 2022-07-01 to 2026-07-01.)
ArticleCitations
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation148
2025 Andrei Borisovich Vistelius Research Award: Anirudh Prabhu74
Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT58
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm56
The Grid-Free Spatial Kernel Predictor for Huge Observation Sets47
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy37
Perspective: Variable-Specific Cartogram-Based Spatiotemporal Visualization is a Way Forward34
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency34
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability32
Mathematical Geosciences Best Paper Award 202129
Geophysical Logging Curve Reconstruction Based on Diff-Mamba Modeling26
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field26
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping26
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning25
Uncertainty Quantification of Deep Learning Algorithms for Lithological Mapping23
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint22
A Spatially Aware Evidential Deep Learning Framework for Mineral Prospectivity Mapping and Uncertainty Evaluation21
Co-simulation of Geological Facies and Ore Grades in the Molaoi Polymetallic Orebody, Greece: A Geostatistical Application Using Advanced Modeling Techniques21
Lithofacies Identification and Classification Based on Least Squares Support Vector Machine Optimized by Sparrow Search Algorithm20
Efficient Approximations of Effective Permeability of Fractured Porous Media Using Machine Learning: A Computational Geometry Approach20
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
Prediction of Heterogeneous Shale Lithology in the Kaijiang–Liangping Trough Based on Dream Optimization Algorithm and Support Vector Machine19
Generalized Conditioning of Generative Artificial Intelligence for History Matching Subsurface Models18
Upscaling Two-Dimensional and Three-Dimensional Porosity Bounds by Using High-Resolution Micro-CT Images in Andesitic Rock Samples18
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification17
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm17
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System15
Insights in Hierarchical Clustering of Variables for Compositional Data15
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–201714
Acknowledgement of Reviewers for 202214
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network14
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework13
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions13
Compression-based Facies Modelling13
Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification12
A Novel Progressive Many-Objective Optimization Approach for Engineering-Controllable Parameters of an Enhanced Geothermal System in the Gonghe Basin, China12
Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers12
Uncertainty Propagation in Deep Gaussian Process Networks12
Quantifying and Incorporating Lithological Well Logging as Uncertain Data in Probabilistic Inverse Problems12
A Spline-Based Regularized Method for the Reconstruction of Complex Geological Models12
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching12
Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling12
Sedimentary Stratigraphic Uncertainty: A Quantitative Analysis Framework Based on Information Theory and Stochastic Processes11
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content11
Seismic Data Denoising Using a Self-Supervised Deep Learning Network11
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 Rockslope11
Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database10
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization10
Uniform Conditioning Applied to the Selective Mining Unit as an Alternative to Localized Uniform Conditioning10
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning10
Deep Mineral Prospectivity Prediction via Integration of Spatiotemporal Dynamics Simulations with Long Short-Term Memory Networks: A Case Study of the Tongshan Deposit, China9
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping9
2025 Andrei Borisovich Vistelius Research Award: Lijing Wang9
Three-Dimensional Latent Diffusion Models for Parameterizing and History Matching Facies Systems Under Hierarchical Uncertainty8
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods8
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation8
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal8
Fractal Dimension of Fracture Network: A Review and New Observations8
Coal Seam Geological Implicit Modeling with Fault Networks and Kinematic Parameters8
Probabilistic Modeling and Uncertainty Simulations of National-Scale Hydrostratigraphic Models: An Example from Denmark7
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping7
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks7
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces7
Evaluating the Stability of Deep Learning Latent Feature Space for Subsurface Modeling7
Guidelines for Conducting Sensitivity Analyses in Process Simulations for Solid Earth Geosciences7
Prediction of Soil Parameters of Waste Fibers with Hybrid Metaheuristic Algorithm7
Graph Deep Learning Model for Mapping Mineral Prospectivity7
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System7
Generative Adversarial Networks for Improved Three-Dimensional Reservoir Modeling: Image Processing-Inspired Approaches and their Effects on Different Well Data Levels7
A Tensor Mean Model for Reservoir Optimization Under Uncertainty6
Potential Viability of Repurposing Abandoned Hydrocarbon Wells for Geothermal Energy Production: Case Study—Volve Field, North Sea6
Modelling the Influence of Erosive Fluidization on the Morphology of Fluid Flow and Escape Structures6
Geographically Optimal Similarity6
A General Framework for Hierarchical Compression-Based Modelling6
shinyNORRRM: A Cross-Platform Software to Calculate the CIPW Norm6
MWD Data-Based Marble Quality Class Prediction Models Using ML Algorithms6
Lithology Identification of Imbalanced Well Log Data Based on Diffusion Model and Multiscale CNN6
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region6
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