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 2022-05-01 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
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field24
Geophysical Logging Curve Reconstruction Based on Diff-Mamba Modeling24
Uncertainty Quantification of Deep Learning Algorithms for Lithological Mapping24
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning23
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping21
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification21
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
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
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
A Spatially Aware Evidential Deep Learning Framework for Mineral Prospectivity Mapping and Uncertainty Evaluation15
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 System14
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
Acknowledgement of Reviewers for 202213
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions12
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework12
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
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
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
Fractal Dimension of Fracture Network: A Review and New Observations10
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
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation9
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
Probabilistic Modeling and Uncertainty Simulations of National-Scale Hydrostratigraphic Models: An Example from Denmark8
2025 Andrei Borisovich Vistelius Research Award: Lijing Wang8
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
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
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
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
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
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