Computers & Geosciences

Papers
(The TQCC of Computers & Geosciences is 9. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Association Announcement 2023 Felix Chayes Prize148
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method131
Compression of seismic forward modeling wavefield using TuckerMPI113
Learning spatial patterns with variational Gaussian processes: Regression109
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM97
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion97
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection81
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks79
Borehole lithology modelling with scarce labels by deep transductive learning79
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data78
Swin Transformer for simultaneous denoising and interpolation of seismic data73
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description72
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology65
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering64
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification60
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data58
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media57
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information57
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries55
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning52
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression52
Graph neural network-based topological relationships automatic identification of geological boundaries51
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI48
Modified-mean-shift-based noisy label detection for hyperspectral image classification46
SAIPy: A Python package for single-station earthquake monitoring using deep learning46
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis45
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC43
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation43
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation42
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets40
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation40
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media40
Understanding geological reports based on knowledge graphs using a deep learning approach39
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)38
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation36
HPC cluster-based user-defined data integration platform for deep learning in geoscience applications36
Quantitative analysis of fracture evolution in fold: Insights from FDEM modelling35
Multiscale reconstruction of porous media based on multiple dictionaries learning34
Differentiating outcropping strata from oblique photogrammetric data using an octree-based convolutional neural network with spatial parameters34
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance34
Fractal-based supervised approach for dimensionality reduction of hyperspectral images33
Decomposition of multivariate spatial data into latent factors33
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data32
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks32
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗32
Virtual fieldwork in immersive environments using game engines31
A novel algorithm for seismic events multiplets search30
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python30
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context30
Editorial Board29
For any two arbitrary slices from one digital rock, its twins can be fast stably reconstructed: A novel integrated model of RVION with ADA-PGGAN28
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation28
Editorial Board28
Data space inversion for efficient predictions and uncertainty quantification for geothermal models28
Emerging trends in big data analytics and natural disasters28
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method27
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks27
Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil26
Probabilistic volcanic mass flow hazard assessment using statistical surrogates of deterministic simulations25
Editorial Board25
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm25
Mitigation of spatial nonstationarity with vision transformers25
Hybrid supervised prestack three-parameter inversion method based on physical equation driving24
Prior information assisted multi-scale network for precipitation nowcasting24
Research on microseismic signal identification through data fusion24
Improved modelling of fluid production and reinjection in geothermal reservoirs24
A novel algorithm and software for 3D density gravity inversion24
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data23
AnalyZr: A Python application for zircon grain image segmentation and shape analysis23
A high-efficiency parallel fast marching method for large-scale seismic tomography in three-dimensional spherical coordinates23
pySimFrac: A Python library for synthetic fracture generation and analysis23
Automatic identification of semi-tracks on apatite and mica using a deep learning method22
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning21
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging21
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea21
Application of group decision-making AHP of confidence index and cloud model for rock slope stability evaluation21
Imputation in well log data: A benchmark for machine learning methods21
THEPORE: A software package for modeling THErmo-PORo-elastic displacements21
Deep learning of rock images for intelligent lithology identification21
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN21
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems20
Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization20
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification20
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation19
Physics-Informed Neural Networks for solving transient unconfined groundwater flow19
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers19
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients19
Latent diffusion model for conditional reservoir facies generation18
A high spatiotemporal resolution framework for urban temperature prediction using IoT data18
An adaptively multi-attribute index framework for big IoT data18
Parallel assignment of flow directions over flat surfaces in massive digital elevation models18
Densely multiscale framework for segmentation of high resolution remote sensing imagery17
Tree segmentation and change detection of large urban areas based on airborne LiDAR17
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units17
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts17
Estimation using multiple-point statistics17
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab17
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids16
Automatic variogram calculation and modeling16
A VTI medium prestack migration method based on the De Wolf approximation16
Corrigendum to “Parallel assignment of flow directions over flat surfaces in massive digital elevation models” [Comput. Geosci. 159 (2021) 105015]16
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, Poland16
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system16
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach16
Local conditioning in posterior sampling methods with example cases in subsurface inversion16
A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region16
Multiscale study of statistical fractal DFN model and corresponding seismic images16
Direct Sequential Simulation for spherical linear inverse problems16
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves16
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea15
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios15
Introducing USED: Urban Seismic Event Detection15
Front and skeleton features based methods for tracking salinity propagation in the ocean15
An improved algorithm for extracting crossovers of satellite ground tracks15
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation15
An ontology-based framework for semantic geographic information systems development and understanding14
Fast multi-resolution 3D inversion of potential fields with application to high-resolution gravity and magnetic anomaly data from the Eastern Goldfields in Western Australia14
Constraining uncertainty of fault orientation using a combinatorial algorithm14
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow14
SwinInver: 3D data-driven seismic impedance inversion based on Swin Transformer and adversarial training14
THYRSIS: A QGIS plugin for hydrogeological modelling14
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing14
Finite-infinite element analysis for flow simulation in a phreatic aquifer13
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation13
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method13
EaDz: A web-based, relational database for detrital zircons from East Asia13
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation13
Optimized Apriori algorithm for deformation response analysis of landslide hazards13
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms13
Classification, segmentation and correlation of zoned minerals13
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems13
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning13
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds13
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images13
Intelligent seismic stratigraphic modeling using temporal convolutional network12
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network12
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases12
Design, implementation and application of the Marchenko plane-wave algorithm12
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection12
GeoSPARQL query support for scientific raster array data12
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)12
Unsupervised clustering of ambient seismic noise in an urban environment12
Editorial Board12
High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada12
Chroma: A MATLAB package and open-source platform for biomarker data processing and automatic index calculations12
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF12
A framework for ecosystem service assessment using GIS interoperability standards12
Seismic fault detection using convolutional neural networks with focal loss12
3D magnetotelluric inversion with arbitrary data orientation angles12
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation12
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source12
Benchmarking multiphysics software for mantle convection12
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
The multi-GPU Wetland DEM Ponding Model11
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements11
Effective training strategies for deep-learning-based precipitation nowcasting and estimation11
A deep scalable neural architecture for soil properties estimation from spectral information11
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis11
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows11
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry11
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis11
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model11
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection11
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS11
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow11
QDMlab: A MATL10
Core–shell clustering approach for detection and analysis of coastal upwelling10
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach10
Domain knowledge-guided geological named entities recognition of rock minerals based on prompt engineering with error feedback mechanism10
LADI: Landslide displacement interpolation through a spatial-temporal Kalman filter10
PyRefra – Refraction seismic data treatment and inversion10
Polar night jet characterization through artificial intelligence10
Interpreting Deepkriging for spatial interpolation in geostatistics10
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks10
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems10
Unsupervised active–transfer learning for automated landslide mapping10
A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity10
Partially overlapped grain shape restoration of the granular rock images10
Hyperspectral image classification based on faster residual multi-branch spiking neural network10
A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits10
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring10
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network9
Siamese Adversarial Network for image classification of heavy mineral grains9
μCT scans permeability computation with an unfi9
Hybrid homotopy-PSO global searching approach with multi-kernel extreme learning machine for efficient source identification of DNAPL-polluted aquifer9
Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award9
IntersecT: a Python script for quantitative isopleth thermobarometry of equilibrium and disequilibrium systems9
Efficient extraction of seismic reflection with Deep Learning9
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods9
Editorial Board9
RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media9
WlCount: Geological lamination detection and counting using an image analysis approach9
Seimic impedance inversion based on semi-supervised learning9
Simulating volume-controlled invasion of a non-wetting fluid in volumetric images using basic image processing tools9
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network9
Advection-based tracking and analysis of salinity movement in the Indian Ocean9
SiamFuseNet: A pseudo-siamese network for detritus detection from polarized microscopic images of river sands9
A deep learning model for predicting the production of coalbed methane considering time, space, and geological features9
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform9
SWE_of_Bathymetry.m: A geomorphometric tool to automate discrimination between detachment and magmatic seafloor at slow-spreading ridges from shipboard multibeam bathymetry9
Functional multiple-point simulation9
Cube2sph : A toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package9
Magnetic anomalies characterization: Deep learning and explainability9
Sparse graph-regularized dictionary learning for full waveform inversion9
Statistical comparison of variogram-based inversion methods for conditioning to indirect data9
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