Mathematical Geosciences

Papers
(The TQCC of Mathematical Geosciences is 5. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Effects of Fluid Pressure Development on Hydrothermal Mineralization via Cellular Automaton Simulation101
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy45
Stochastic Modeling of Stratospheric Temperature45
Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm42
2025 Andrei Borisovich Vistelius Research Award: Anirudh Prabhu39
Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT37
Quantification of Fracture Roughness by Change Probabilities and Hurst Exponents35
Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency28
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability26
Mathematical Geosciences Best Paper Award 202125
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field25
Improving Geochemical Anomaly Recognition Associated with Mineralization via Geological Knowledge Interacting Reinforcement Learning23
Geophysical Logging Curve Reconstruction Based on Diff-Mamba Modeling21
Three-Dimensional Inversion of Gravity Data Using the Levy PDF for Depth Weighting and a Rank Order Smoothing Constraint21
Geologically Constrained Convolutional Neural Network for Mineral Prospectivity Mapping19
Uncertainty Quantification of Deep Learning Algorithms for Lithological Mapping19
Implicit Difference Solution for One-Dimensional Consolidation of Unsaturated Soil: Numerical Verification and Application to Soil-Cushion System18
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 Basin17
Efficient Approximations of Effective Permeability of Fractured Porous Media Using Machine Learning: A Computational Geometry Approach16
Construction and Application of a Knowledge Graph for Iron Deposits Using Text Mining Analytics and a Deep Learning Algorithm16
Insights in Hierarchical Clustering of Variables for Compositional Data16
SeisGAN: Improving Seismic Image Resolution and Reducing Random Noise Using a Generative Adversarial Network15
Generalized Conditioning of Generative Artificial Intelligence for History Matching Subsurface Models15
Advanced KNN Approaches for Explainable Seismic-Volcanic Signal Classification15
Acknowledgement of Reviewers for 202212
Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification12
An Improved Anticipated Learning Machine for Daily Runoff Prediction in Data-Scarce Regions11
Empirical Orthogonal Maps (EOM) and Principal Spatial Patterns: Illustration for Octopus Distribution Off Mauritania Over the Period 1987–201711
Compression-based Facies Modelling11
Uncertainty Propagation in Deep Gaussian Process Networks10
A Local Parameterization-Based Probabilistic Cooperative Coevolutionary Algorithm for History Matching10
Numerical Simulation of a Thermal-Hydraulic-Chemical Multiphase Flow Model for $$\hbox {CO}_2$$ Sequestration in Saline Aquifers10
Seismic Data Denoising Using a Self-Supervised Deep Learning Network10
A Spline-Based Regularized Method for the Reconstruction of Complex Geological Models10
A Novel Progressive Many-Objective Optimization Approach for Engineering-Controllable Parameters of an Enhanced Geothermal System in the Gonghe Basin, China10
Pore Pressure Uncertainty Characterization Coupling Machine Learning and Geostatistical Modelling10
Permeability Sensitivity of Coupled Electrical and Hydraulic Data in Unconfined Aquifers10
Robust Optimal Well Control using an Adaptive Multigrid Reinforcement Learning Framework10
Sedimentary Stratigraphic Uncertainty: A Quantitative Analysis Framework Based on Information Theory and Stochastic Processes10
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope10
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation9
Crucial Geochemical Signal Identification for Cu-Fertile Magmas in Paleo-Tethyan Arc Based on Machine Learning9
Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content9
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal9
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization9
Estimating Rock Composition from Replicate Geochemical Analyses: Theory and Application to Magmatic Rocks of the GeoPT Database9
Bayesian Decomposition Modelling: An Interpretable Nonlinear Approach for Mineral Prospectivity Mapping9
Coal Seam Geological Implicit Modeling with Fault Networks and Kinematic Parameters8
Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods8
Graph Deep Learning Model for Mapping Mineral Prospectivity8
Evaluating the Stability of Deep Learning Latent Feature Space for Subsurface Modeling8
Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System7
Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation7
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces7
An Uncertainty Analysis Method Based on a Globally Optimal Truth Discovery Model for Mineral Prospectivity Mapping7
Dual-Branch Convolutional Neural Network and Its Post Hoc Interpretability for Mapping Mineral Prospectivity6
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
Hybrid Empirical-Data-Driven Neural Network for Predicting Air-Entry Value in Unsaturated Soils6
Causal Discovery and Deep Learning Algorithms for Detecting Geochemical Patterns Associated with Gold-Polymetallic Mineralization: A Case Study of the Edongnan Region6
Modelling the Influence of Erosive Fluidization on the Morphology of Fluid Flow and Escape Structures6
Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks6
Geographically Optimal Similarity6
Seasonal Signal Extraction from GPS Coordinate Time Series Using Low-Rank Matrix Approximation Based on Nonconvex Log-Sum Function Minimization5
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
GenAI Minimum Acceptance Checks: Static and Dynamic Model-Checking of Conditioning Generative Artificial Intelligence Models for Subsurface Modeling5
A Constrained Divisive-Compositional Approach to Micropalaeontological Ecozonation5
Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)5
shinyNORRRM: A Cross-Platform Software to Calculate the CIPW Norm5
Automated Machine Learning-Based Landslide Susceptibility Mapping for the Three Gorges Reservoir Area, China5
And the 2022 Krumbein Medalist of the IAMG is…5
Enhancing Slope Stability Prediction Using Fuzzy and Neural Frameworks Optimized by Metaheuristic Science5
A Statistical Study of Latent Diffusion Models for Geological Facies Modeling5
Targeting Method of Estimating Number of Undiscovered Mineral Deposits5
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