Computers & Geosciences

Papers
(The TQCC of Computers & Geosciences is 8. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering136
Association Announcement 2023 Felix Chayes Prize120
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method101
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data96
Borehole lithology modelling with scarce labels by deep transductive learning91
Compression of seismic forward modeling wavefield using TuckerMPI88
Classifying tree species in the plantations of southern China based on wavelet analysis and mathematical morphology75
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description73
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion73
Learning spatial patterns with variational Gaussian processes: Regression72
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology69
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks66
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection65
Swin Transformer for simultaneous denoising and interpolation of seismic data62
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM59
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification57
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation55
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data54
Modified-mean-shift-based noisy label detection for hyperspectral image classification53
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)52
Graph neural network-based topological relationships automatic identification of geological boundaries52
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information51
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression49
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media49
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation49
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries49
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning46
Understanding geological reports based on knowledge graphs using a deep learning approach46
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation43
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis42
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation42
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI41
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC41
SAIPy: A Python package for single-station earthquake monitoring using deep learning39
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media38
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets37
HPC cluster-based user-defined data integration platform for deep learning in geoscience applications36
Differentiating outcropping strata from oblique photogrammetric data using an octree-based convolutional neural network with spatial parameters35
Quantitative analysis of fracture evolution in fold: Insights from FDEM modelling35
Multiscale reconstruction of porous media based on multiple dictionaries learning35
Fractal-based supervised approach for dimensionality reduction of hyperspectral images33
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance33
Decomposition of multivariate spatial data into latent factors33
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation31
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data31
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method31
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context30
Editorial Board30
A novel algorithm for seismic events multiplets search30
Emerging trends in big data analytics and natural disasters29
Editorial Board28
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks27
For any two arbitrary slices from one digital rock, its twins can be fast stably reconstructed: A novel integrated model of RVION with ADA-PGGAN27
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN26
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗26
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks26
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python26
Virtual fieldwork in immersive environments using game engines26
Data space inversion for efficient predictions and uncertainty quantification for geothermal models26
Mitigation of spatial nonstationarity with vision transformers25
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea25
AnalyZr: A Python application for zircon grain image segmentation and shape analysis25
Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil24
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm24
Sedimentary phosphate classification based on spectral analysis and machine learning24
Improved modelling of fluid production and reinjection in geothermal reservoirs23
pySimFrac: A Python library for synthetic fracture generation and analysis23
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data23
Research on microseismic signal identification through data fusion23
Probabilistic volcanic mass flow hazard assessment using statistical surrogates of deterministic simulations23
Prior information assisted multi-scale network for precipitation nowcasting23
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging23
Automatic identification of semi-tracks on apatite and mica using a deep learning method23
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
Imputation in well log data: A benchmark for machine learning methods22
Application of group decision-making AHP of confidence index and cloud model for rock slope stability evaluation21
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning21
Estimation using multiple-point statistics21
Parallel assignment of flow directions over flat surfaces in massive digital elevation models21
Densely multiscale framework for segmentation of high resolution remote sensing imagery21
Deep learning of rock images for intelligent lithology identification21
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units21
Latent diffusion model for conditional reservoir facies generation20
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
THEPORE: A software package for modeling THErmo-PORo-elastic displacements20
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system19
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
Physics-Informed Neural Networks for solving transient unconfined groundwater flow18
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab18
A high spatiotemporal resolution framework for urban temperature prediction using IoT data17
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts17
An adaptively multi-attribute index framework for big IoT data17
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification17
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation17
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients16
Multiscale study of statistical fractal DFN model and corresponding seismic images16
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids16
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers16
Imputation of missing well log data by random forest and its uncertainty analysis16
Tree segmentation and change detection of large urban areas based on airborne LiDAR16
A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region16
THYRSIS: A QGIS plugin for hydrogeological modelling15
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves15
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios15
Automatic variogram calculation and modeling15
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea15
Direct Sequential Simulation for spherical linear inverse problems15
Corrigendum to “Parallel assignment of flow directions over flat surfaces in massive digital elevation models” [Comput. Geosci. 159 (2021) 105015]15
An ontology-based framework for semantic geographic information systems development and understanding15
Front and skeleton features based methods for tracking salinity propagation in the ocean15
High-performance parallel implementations of flow accumulation algorithms for multicore architectures14
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
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation14
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing14
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach13
SwinInver: 3D data-driven seismic impedance inversion based on Swin Transformer and adversarial training13
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation13
A VTI medium prestack migration method based on the De Wolf approximation13
Local conditioning in posterior sampling methods with example cases in subsurface inversion13
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems13
An improved algorithm for extracting crossovers of satellite ground tracks13
Introducing USED: Urban Seismic Event Detection13
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow13
Finite-infinite element analysis for flow simulation in a phreatic aquifer13
Deep learning in denoising of micro-computed tomography images of rock samples12
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms12
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds12
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF12
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases12
Association announcement 2021 Felix Chayes Prize12
Optimized Apriori algorithm for deformation response analysis of landslide hazards12
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning12
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation12
Efficient modeling of fractional Laplacian viscoacoustic wave equation with fractional finite-difference method12
High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada12
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation12
Classification, segmentation and correlation of zoned minerals12
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method12
GeoSPARQL query support for scientific raster array data12
EaDz: A web-based, relational database for detrital zircons from East Asia12
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images12
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source11
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes11
Intelligent seismic stratigraphic modeling using temporal convolutional network11
Seismic fault detection using convolutional neural networks with focal loss11
Design, implementation and application of the Marchenko plane-wave algorithm11
Benchmarking multiphysics software for mantle convection11
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection11
Chroma: A MATLAB package and open-source platform for biomarker data processing and automatic index calculations11
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)11
A framework for ecosystem service assessment using GIS interoperability standards11
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows10
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network10
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis10
The multi-GPU Wetland DEM Ponding Model10
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry10
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks10
Unsupervised clustering of ambient seismic noise in an urban environment10
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements10
Three-dimensional magnetotelluric modeling using the finite element model reduction algorithm10
Hyperspectral image classification based on faster residual multi-branch spiking neural network10
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow10
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model10
3D magnetotelluric inversion with arbitrary data orientation angles10
Editorial Board10
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS10
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)10
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring9
LADI: Landslide displacement interpolation through a spatial-temporal Kalman filter9
Core–shell clustering approach for detection and analysis of coastal upwelling9
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform9
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems9
A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity9
Effective training strategies for deep-learning-based precipitation nowcasting and estimation9
QDMlab: A MATL9
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis9
Sparse graph-regularized dictionary learning for full waveform inversion9
A deep learning model for predicting the production of coalbed methane considering time, space, and geological features9
A deep scalable neural architecture for soil properties estimation from spectral information9
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection9
Partially overlapped grain shape restoration of the granular rock images9
Efficient extraction of seismic reflection with Deep Learning9
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network9
Polar night jet characterization through artificial intelligence9
Deep semi-supervised learning using generative adversarial networks for automated seismic facies classification of mass transport complex8
An assessment on the off-road trafficability using a quantitative rule method with geographical and geological data8
Functional multiple-point simulation8
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow8
Magnetic anomalies characterization: Deep learning and explainability8
PyRefra – Refraction seismic data treatment and inversion8
Interpreting Deepkriging for spatial interpolation in geostatistics8
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods8
Unsupervised active–transfer learning for automated landslide mapping8
SiamFuseNet: A pseudo-siamese network for detritus detection from polarized microscopic images of river sands8
Real-time social media sentiment analysis for rapid impact assessment of floods8
Seimic impedance inversion based on semi-supervised learning8
μCT scans permeability computation with an unfi8
Siamese Adversarial Network for image classification of heavy mineral grains8
Comparison of machine learning algorithms for emulation of a gridded hydrological model given spatially explicit inputs8
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach8
WlCount: Geological lamination detection and counting using an image analysis approach8
Empirical subspace detection applied to triggered seismicity by the July 25, 2011, M 5.0 earthquake in the Sea of Marmara, Turkey8
Editorial Board8
Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award8
Siamese topographic generation model: A deep learning model for generating Antarctic subglacial topography with fine details8
Hybrid homotopy-PSO global searching approach with multi-kernel extreme learning machine for efficient source identification of DNAPL-polluted aquifer8
Cube2sph : A toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package8
Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability8
RBF-FD analysis of 2D time-domain acoustic wave propagation in heterogeneous media8
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network8
Statistical comparison of variogram-based inversion methods for conditioning to indirect data8
Advection-based tracking and analysis of salinity movement in the Indian Ocean8
SWE_of_Bathymetry.m: A geomorphometric tool to automate discrimination between detachment and magmatic seafloor at slow-spreading ridges from shipboard multibeam bathymetry8
Simulating volume-controlled invasion of a non-wetting fluid in volumetric images using basic image processing tools8
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