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 2021-06-01 to 2025-06-01.)
ArticleCitations
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering139
Association Announcement 2023 Felix Chayes Prize122
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method104
Compression of seismic forward modeling wavefield using TuckerMPI102
Classifying tree species in the plantations of southern China based on wavelet analysis and mathematical morphology95
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion92
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description76
Learning spatial patterns with variational Gaussian processes: Regression76
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks73
Borehole lithology modelling with scarce labels by deep transductive learning73
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data71
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection69
Swin Transformer for simultaneous denoising and interpolation of seismic data69
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology63
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification59
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM59
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data56
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information55
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)55
Modified-mean-shift-based noisy label detection for hyperspectral image classification55
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media53
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries53
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression52
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation52
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning51
Graph neural network-based topological relationships automatic identification of geological boundaries49
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation48
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC47
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation44
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI44
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets43
SAIPy: A Python package for single-station earthquake monitoring using deep learning42
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis42
Understanding geological reports based on knowledge graphs using a deep learning approach40
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation38
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media37
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 parameters36
Quantitative analysis of fracture evolution in fold: Insights from FDEM modelling36
Multiscale reconstruction of porous media based on multiple dictionaries learning35
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance35
Fractal-based supervised approach for dimensionality reduction of hyperspectral images34
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation32
Decomposition of multivariate spatial data into latent factors32
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data32
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗31
Virtual fieldwork in immersive environments using game engines31
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks30
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context29
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks29
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method29
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python28
Editorial Board28
A novel algorithm for seismic events multiplets search28
Mitigation of spatial nonstationarity with vision transformers27
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
Editorial Board27
Data space inversion for efficient predictions and uncertainty quantification for geothermal models27
Emerging trends in big data analytics and natural disasters27
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm26
Automatic identification of semi-tracks on apatite and mica using a deep learning method26
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
Prior information assisted multi-scale network for precipitation nowcasting24
Application of group decision-making AHP of confidence index and cloud model for rock slope stability evaluation24
Research on microseismic signal identification through data fusion24
Improved modelling of fluid production and reinjection in geothermal reservoirs24
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data24
A novel algorithm and software for 3D density gravity inversion24
A high-efficiency parallel fast marching method for large-scale seismic tomography in three-dimensional spherical coordinates24
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging23
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea23
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN23
AnalyZr: A Python application for zircon grain image segmentation and shape analysis23
pySimFrac: A Python library for synthetic fracture generation and analysis22
Deep learning of rock images for intelligent lithology identification21
THEPORE: A software package for modeling THErmo-PORo-elastic displacements21
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers21
Imputation in well log data: A benchmark for machine learning methods21
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning21
Latent diffusion model for conditional reservoir facies generation21
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems21
Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization21
Tree segmentation and change detection of large urban areas based on airborne LiDAR20
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation20
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts20
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system19
Estimation using multiple-point statistics19
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab18
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units18
Densely multiscale framework for segmentation of high resolution remote sensing imagery18
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients17
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids17
Parallel assignment of flow directions over flat surfaces in massive digital elevation models17
An adaptively multi-attribute index framework for big IoT data17
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification17
Physics-Informed Neural Networks for solving transient unconfined groundwater flow17
A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region16
Automatic variogram calculation and modeling16
A high spatiotemporal resolution framework for urban temperature prediction using IoT data16
Imputation of missing well log data by random forest and its uncertainty analysis16
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea16
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
Corrigendum to “Parallel assignment of flow directions over flat surfaces in massive digital elevation models” [Comput. Geosci. 159 (2021) 105015]16
Multiscale study of statistical fractal DFN model and corresponding seismic images16
An ontology-based framework for semantic geographic information systems development and understanding15
Local conditioning in posterior sampling methods with example cases in subsurface inversion15
A VTI medium prestack migration method based on the De Wolf approximation15
High-performance parallel implementations of flow accumulation algorithms for multicore architectures15
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach15
Direct Sequential Simulation for spherical linear inverse problems15
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves15
Introducing USED: Urban Seismic Event Detection15
Constraining uncertainty of fault orientation using a combinatorial algorithm14
An improved algorithm for extracting crossovers of satellite ground tracks14
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
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow14
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
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation14
Front and skeleton features based methods for tracking salinity propagation in the ocean14
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems13
Classification, segmentation and correlation of zoned minerals13
Deep learning in denoising of micro-computed tomography images of rock samples13
Finite-infinite element analysis for flow simulation in a phreatic aquifer13
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning13
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios13
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
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
A framework for ecosystem service assessment using GIS interoperability standards12
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms12
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images12
EaDz: A web-based, relational database for detrital zircons from East Asia12
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
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases12
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation12
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
Design, implementation and application of the Marchenko plane-wave algorithm12
Intelligent seismic stratigraphic modeling using temporal convolutional network12
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF12
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds12
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)12
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection11
Efficient modeling of fractional Laplacian viscoacoustic wave equation with fractional finite-difference method11
Three-dimensional magnetotelluric modeling using the finite element model reduction algorithm11
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes11
Seismic fault detection using convolutional neural networks with focal loss11
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network11
3D magnetotelluric inversion with arbitrary data orientation angles11
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation11
Unsupervised clustering of ambient seismic noise in an urban environment11
Editorial Board11
The multi-GPU Wetland DEM Ponding Model10
A deep scalable neural architecture for soil properties estimation from spectral information10
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry10
Effective training strategies for deep-learning-based precipitation nowcasting and estimation10
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis10
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS10
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis10
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements10
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow10
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks10
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model10
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows10
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection10
A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)10
Hyperspectral image classification based on faster residual multi-branch spiking neural network10
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems9
Editorial Board9
Statistical comparison of variogram-based inversion methods for conditioning to indirect data9
PyRefra – Refraction seismic data treatment and inversion9
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform9
Sparse graph-regularized dictionary learning for full waveform inversion9
Efficient extraction of seismic reflection with Deep Learning9
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach9
A deep learning model for predicting the production of coalbed methane considering time, space, and geological features9
Partially overlapped grain shape restoration of the granular rock images9
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods9
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network9
Magnetic anomalies characterization: Deep learning and explainability9
Core–shell clustering approach for detection and analysis of coastal upwelling9
LADI: Landslide displacement interpolation through a spatial-temporal Kalman filter9
QDMlab: A MATL9
A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits9
Polar night jet characterization through artificial intelligence9
SiamFuseNet: A pseudo-siamese network for detritus detection from polarized microscopic images of river sands9
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network9
Empirical subspace detection applied to triggered seismicity by the July 25, 2011, M 5.0 earthquake in the Sea of Marmara, Turkey9
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring9
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