Computers & Geosciences

Papers
(The TQCC of Computers & Geosciences is 10. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board140
Association Announcement 2023 Felix Chayes Prize118
Borehole lithology modelling with scarce labels by deep transductive learning105
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM98
Compression of seismic forward modeling wavefield using TuckerMPI94
Three-dimensional inversion method based on multi-source fused physical information networks for leachate distribution in landfills59
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection57
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description57
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks55
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification54
Swin Transformer for simultaneous denoising and interpolation of seismic data53
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method51
Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science48
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology48
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering47
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries46
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression45
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI44
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation43
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media43
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets42
SAIPy: A Python package for single-station earthquake monitoring using deep learning42
Prediction of fault slip tendency in CO 42
Understanding geological reports based on knowledge graphs using a deep learning approach40
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation39
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation38
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation38
Graph neural network-based topological relationships automatic identification of geological boundaries36
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning34
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data32
A Boundary-Enhanced and Feature-Interactive CNN–Transformer Network for Shoreline Extraction in Complex Coastal Environments32
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis32
GeoFedNet: Federated learning for privacy-aware, robust, and generalizable seismic interpretation31
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context30
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance30
Research on hyperspectral remote sensing alteration mineral mapping using an improved ViT model29
MJOFormer: An adaptive land-ocean spatio-temporal transformer for Madden–Julian Oscillation forecasting29
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗29
Least-squares-embedded optimization for accelerated convergence of PINNs in high-frequency acoustic wavefield simulations29
A novel algorithm for seismic events multiplets search28
Editorial Board28
Editorial Board27
Emerging trends in big data analytics and natural disasters27
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python26
For any two arbitrary slices from one digital rock, its twins can be fast stably reconstructed: A novel integrated model of RVION with ADA-PGGAN26
Virtual fieldwork in immersive environments using game engines25
Mineral prospectivity analysis is unstable to changes in pixel size25
Fractal-based supervised approach for dimensionality reduction of hyperspectral images25
A new elastic wave equation for decoupling P-wave and S-waves and its application25
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks24
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method24
Editorial Board23
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation23
Differentiating outcropping strata from oblique photogrammetric data using an octree-based convolutional neural network with spatial parameters23
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data23
ElasWave3D: A GPU-accelerated 3D finite-difference elastic wave solver for complex topography using irregular subdomain index arrays23
Multiscale reconstruction of porous media based on multiple dictionaries learning23
TorchTEM3D: PyTorch-Driven forward modeling platform for fast 3D transient electromagnetic modeling and efficient sensitivity matrix calculation23
Data space inversion for efficient predictions and uncertainty quantification for geothermal models23
Short-term earthquake forecasting using electromagnetic and geoacoustic observations via contrastive learning22
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea22
Hybrid supervised prestack three-parameter inversion method based on physical equation driving22
Prior information assisted multi-scale network for precipitation nowcasting22
A novel algorithm and software for 3D density gravity inversion22
A high-efficiency parallel fast marching method for large-scale seismic tomography in three-dimensional spherical coordinates22
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data22
A GPU algorithm for identifying the longest flow paths in catchments22
Improved modelling of fluid production and reinjection in geothermal reservoirs22
Imputation in well log data: A benchmark for machine learning methods20
TwoStream-EQT: A microseismic phase picking model combining time and frequency domain inputs20
Predictive mapping and assignment uncertainty with a spatially adjusted Gaussian mixture model20
DAM-CGNet: Semantic segmentation-based approach for valley-bottom extraction from digital elevation models20
Optimising the computational performance of high degree lithospheric field models20
Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil20
Probabilistic volcanic mass flow hazard assessment using statistical surrogates of deterministic simulations20
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging19
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm19
Mitigation of spatial nonstationarity with vision transformers19
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN19
pySimFrac: A Python library for synthetic fracture generation and analysis18
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units18
PoreViT: Automated pore typing in carbonate rocks using vision transformers and neighborhood features18
Research on microseismic signal identification through data fusion18
GAN-MT1DInv: A physics-informed generative adversarial network for magnetotelluric inversion18
Combining deep neural network and spatio-temporal clustering to automatically assess rockburst and seismic hazard – Case study from Marcel coal mine in Upper Silesian Basin, Poland18
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation17
Efficient variable precision reduction in chaotic climate models: Analysis of the NEMO case in the destination earth project17
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab17
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system17
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers17
Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization17
Densely multiscale framework for segmentation of high resolution remote sensing imagery17
Editorial Board17
THEPORE: A software package for modeling THErmo-PORo-elastic displacements17
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning17
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification16
Introducing USED: Urban Seismic Event Detection16
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach16
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients16
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems16
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids16
Physics-Informed Neural Networks for solving transient unconfined groundwater flow16
Latent diffusion model for conditional reservoir facies generation16
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts16
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation16
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves15
THYRSIS: A QGIS plugin for hydrogeological modelling15
Local conditioning in posterior sampling methods with example cases in subsurface inversion15
Multiscale study of statistical fractal DFN model and corresponding seismic images15
An improved algorithm for extracting crossovers of satellite ground tracks15
A VTI medium prestack migration method based on the De Wolf approximation15
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation14
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems14
An ontology-based framework for semantic geographic information systems development and understanding14
SwinInver: 3D data-driven seismic impedance inversion based on Swin Transformer and adversarial training14
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method14
A new multi-expert distance for clustering climate parameters: a Caribbean precipitation case study14
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing14
Optimized Apriori algorithm for deformation response analysis of landslide hazards14
Automatic variogram calculation and modeling14
PIKANs: Physics-informed Kolmogorov–Arnold networks for landslide time-to-failure prediction13
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases13
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF13
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning13
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms13
Chroma: A MATLAB package and open-source platform for biomarker data processing and automatic index calculations13
A study on grille structure modeling algorithm for fault-controlled fractured-cavity reservoirs: A case study of the shunbei no. 5 fault zone13
TomoATT: An open-source package for Eikonal equation-based adjoint-state traveltime tomography for seismic velocity and azimuthal anisotropy13
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation13
An improved method for pore size distribution measurement of porous geomaterials based on microscopic images13
Semi-analytical method for thermal field analysis of multiple arbitrarily shaped inhomogeneities in heterogeneous geological media13
Design, implementation and application of the Marchenko plane-wave algorithm12
Intelligent seismic stratigraphic modeling using temporal convolutional network12
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source12
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images12
High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada12
Efficient multi-GPU distributed training strategies for neural operator networks: Application to magnetotelluric forward modeling12
Geophysics-guided multi-stage hybrid learning for post-stack seismic impedance inversion12
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection12
Efficient modeling of fractional Laplacian viscoacoustic wave equation with fractional finite-difference method12
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes12
EaDz: A web-based, relational database for detrital zircons from East Asia12
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)12
Smoke or cloud: Real-time satellite image segmentation in a wildfire data integration application11
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model11
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS11
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection11
The multi-GPU Wetland DEM Ponding Model11
Unsupervised clustering of ambient seismic noise in an urban environment11
3D magnetotelluric inversion with arbitrary data orientation angles11
Uncertainty-aware ensemble learning and dynamic threshold optimization for landslide susceptibility mapping11
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements11
Editorial Board11
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow11
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis11
Hyperspectral image classification based on faster residual multi-branch spiking neural network11
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows11
Seismicity-constrained fault detection and characterization with a multitask machine learning model11
AI-based geological subsurface reconstruction using sparse convolutional autoencoders11
A deep scalable neural architecture for soil properties estimation from spectral information11
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry11
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network10
Editorial Board10
Magnetic anomalies characterization: Deep learning and explainability10
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network10
Domain knowledge-guided geological named entities recognition of rock minerals based on prompt engineering with error feedback mechanism10
Polar night jet characterization through artificial intelligence10
IntersecT: a Python script for quantitative isopleth thermobarometry of equilibrium and disequilibrium systems10
Core–shell clustering approach for detection and analysis of coastal upwelling10
Partially overlapped grain shape restoration of the granular rock images10
3D semantic mapping of surface geological features10
Adaptive variational fusion of multi-source lunar digital elevation models based on curvature regularization10
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform10
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach10
PyRefra – Refraction seismic data treatment and inversion10
Spatio-temporal deep networks with feature disentangling for advancing earthquake monitoring10
QDM l10
A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits10
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems10
Exploiting global information and local edge detail for full waveform inversion10
0.5912971496582