Computers & Geosciences

Papers
(The median citation count of Computers & Geosciences is 4. 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
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method154
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology144
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection118
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering112
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data103
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion84
Editorial Board84
Compression of seismic forward modeling wavefield using TuckerMPI74
Association Announcement 2023 Felix Chayes Prize72
Learning spatial patterns with variational Gaussian processes: Regression72
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description70
Borehole lithology modelling with scarce labels by deep transductive learning62
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks60
Swin Transformer for simultaneous denoising and interpolation of seismic data57
Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science57
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM55
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification52
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI51
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning48
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)48
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression46
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation46
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation46
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries45
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data44
SAIPy: A Python package for single-station earthquake monitoring using deep learning44
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets42
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information41
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation41
Understanding geological reports based on knowledge graphs using a deep learning approach41
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media38
Graph neural network-based topological relationships automatic identification of geological boundaries37
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis37
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation36
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media35
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC35
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context34
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance34
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗33
Multiscale reconstruction of porous media based on multiple dictionaries learning32
Mineral prospectivity analysis is unstable to changes in pixel size32
Editorial Board31
A novel algorithm for seismic events multiplets search31
Differentiating outcropping strata from oblique photogrammetric data using an octree-based convolutional neural network with spatial parameters30
Emerging trends in big data analytics and natural disasters30
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python29
Data space inversion for efficient predictions and uncertainty quantification for geothermal models28
Quantitative analysis of fracture evolution in fold: Insights from FDEM modelling28
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
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks28
Editorial Board28
ElasWave3D: A GPU-accelerated 3D finite-difference elastic wave solver for complex topography using irregular subdomain index arrays27
Virtual fieldwork in immersive environments using game engines27
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data26
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks26
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method26
Fractal-based supervised approach for dimensionality reduction of hyperspectral images25
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm25
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation25
A GPU algorithm for identifying the longest flow paths in catchments24
Prior information assisted multi-scale network for precipitation nowcasting24
Improved modelling of fluid production and reinjection in geothermal reservoirs24
Hybrid supervised prestack three-parameter inversion method based on physical equation driving24
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data24
pySimFrac: A Python library for synthetic fracture generation and analysis23
Editorial Board23
DAM-CGNet: Semantic segmentation-based approach for valley-bottom extraction from digital elevation models23
Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil23
A novel algorithm and software for 3D density gravity inversion23
Automatic identification of semi-tracks on apatite and mica using a deep learning method22
Research on microseismic signal identification through data fusion22
Imputation in well log data: A benchmark for machine learning methods22
Mitigation of spatial nonstationarity with vision transformers22
A high-efficiency parallel fast marching method for large-scale seismic tomography in three-dimensional spherical coordinates21
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN21
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging21
TwoStream-EQT: A microseismic phase picking model combining time and frequency domain inputs21
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea21
Probabilistic volcanic mass flow hazard assessment using statistical surrogates of deterministic simulations20
PoreViT: Automated pore typing in carbonate rocks using vision transformers and neighborhood features20
AnalyZr: A Python application for zircon grain image segmentation and shape analysis20
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation19
THEPORE: A software package for modeling THErmo-PORo-elastic displacements19
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems19
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units18
Estimation using multiple-point statistics18
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts18
Densely multiscale framework for segmentation of high resolution remote sensing imagery18
Physics-Informed Neural Networks for solving transient unconfined groundwater flow17
Editorial Board17
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification17
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, Poland17
Latent diffusion model for conditional reservoir facies generation17
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids17
Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization17
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers16
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients16
Parallel assignment of flow directions over flat surfaces in massive digital elevation models16
Tree segmentation and change detection of large urban areas based on airborne LiDAR16
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system16
Efficient variable precision reduction in chaotic climate models: Analysis of the NEMO case in the destination earth project16
A high spatiotemporal resolution framework for urban temperature prediction using IoT data16
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning16
A VTI medium prestack migration method based on the De Wolf approximation15
Introducing USED: Urban Seismic Event Detection15
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab15
Local conditioning in posterior sampling methods with example cases in subsurface inversion15
Automatic variogram calculation and modeling15
Front and skeleton features based methods for tracking salinity propagation in the ocean15
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation14
Corrigendum to “Parallel assignment of flow directions over flat surfaces in massive digital elevation models” [Comput. Geosci. 159 (2021) 105015]14
SwinInver: 3D data-driven seismic impedance inversion based on Swin Transformer and adversarial training14
THYRSIS: A QGIS plugin for hydrogeological modelling14
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
Characterization of pore and grain size distributions in porous geological samples – An image processing workflow14
Direct Sequential Simulation for spherical linear inverse problems14
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves14
An ontology-based framework for semantic geographic information systems development and understanding14
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea14
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing14
An improved algorithm for extracting crossovers of satellite ground tracks14
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach14
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios14
Multiscale study of statistical fractal DFN model and corresponding seismic images14
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems14
Optimized Apriori algorithm for deformation response analysis of landslide hazards13
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation13
Classification, segmentation and correlation of zoned minerals13
An improved method for pore size distribution measurement of porous geomaterials based on microscopic images13
GeoSPARQL query support for scientific raster array data13
Design, implementation and application of the Marchenko plane-wave algorithm13
TomoATT: An open-source package for Eikonal equation-based adjoint-state traveltime tomography for seismic velocity and azimuthal anisotropy13
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method13
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images13
A study on grille structure modeling algorithm for fault-controlled fractured-cavity reservoirs: A case study of the shunbei no. 5 fault zone13
Efficient modeling of fractional Laplacian viscoacoustic wave equation with fractional finite-difference method13
Chroma: A MATLAB package and open-source platform for biomarker data processing and automatic index calculations13
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms13
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation13
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning13
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes13
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF13
Semi-analytical method for thermal field analysis of multiple arbitrarily shaped inhomogeneities in heterogeneous geological media12
Intelligent seismic stratigraphic modeling using temporal convolutional network12
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection12
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)12
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model12
EaDz: A web-based, relational database for detrital zircons from East Asia12
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation12
High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada12
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network12
The multi-GPU Wetland DEM Ponding Model12
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds12
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases12
Seismic fault detection using convolutional neural networks with focal loss12
3D magnetotelluric inversion with arbitrary data orientation angles12
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source12
Editorial Board11
Hyperspectral image classification based on faster residual multi-branch spiking neural network11
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis11
Unsupervised clustering of ambient seismic noise in an urban environment11
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow11
Seismicity-constrained fault detection and characterization with a multitask machine learning model11
A deep scalable neural architecture for soil properties estimation from spectral information11
AI-based geological subsurface reconstruction using sparse convolutional autoencoders10
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows10
Editorial Board10
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry10
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection10
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements10
Smoke or cloud: Real-time satellite image segmentation in a wildfire data integration application10
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach10
PyRefra – Refraction seismic data treatment and inversion10
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS10
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks10
Effective training strategies for deep-learning-based precipitation nowcasting and estimation10
Domain knowledge-guided geological named entities recognition of rock minerals based on prompt engineering with error feedback mechanism10
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring9
Statistical comparison of variogram-based inversion methods for conditioning to indirect data9
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network9
A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity9
Spatio-temporal deep networks with feature disentangling for advancing earthquake monitoring9
Cube2sph : A toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package9
Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award9
μCT scans permeability computation with an unfi9
IntersecT: a Python script for quantitative isopleth thermobarometry of equilibrium and disequilibrium systems9
A deep learning model for predicting the production of coalbed methane considering time, space, and geological features9
Polar night jet characterization through artificial intelligence9
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform9
Efficient extraction of seismic reflection with Deep Learning9
SiamFuseNet: A pseudo-siamese network for detritus detection from polarized microscopic images of river sands9
Siamese topographic generation model: A deep learning model for generating Antarctic subglacial topography with fine details9
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods9
Unsupervised active–transfer learning for automated landslide mapping9
Magnetic anomalies characterization: Deep learning and explainability9
Sparse graph-regularized dictionary learning for full waveform inversion9
LADI: Landslide displacement interpolation through a spatial-temporal Kalman filter9
Advection-based tracking and analysis of salinity movement in the Indian Ocean9
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems9
Core–shell clustering approach for detection and analysis of coastal upwelling9
A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits9
Partially overlapped grain shape restoration of the granular rock images9
Interpreting Deepkriging for spatial interpolation in geostatistics9
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network9
QDMlab: A MATL9
Denoising sparker seismic data with Deep BiLSTM in fractional Fourier transform8
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
SWE_of_Bathymetry.m: A geomorphometric tool to automate discrimination between detachment and magmatic seafloor at slow-spreading ridges from shipboard multibeam bathymetry8
Grade estimation using a hybrid method of back-propagation artificial neural network and particle swarm optimization with integrated samples coordinate and local variability8
Deep semi-supervised learning using generative adversarial networks for automated seismic facies classification of mass transport complex8
MLFC-net: A multi-level feature combination attention model for remote sensing scene classification8
Efficient geo-electromagnetic modeling techniques for complex geological structures: A karst MT example8
A first arrival picking method of microseismic signals based on semi-supervised learning using FreeMatch and MS-Picking8
Applications of data augmentation in mineral prospectivity prediction based on convolutional neural networks8
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow8
Real-time social media sentiment analysis for rapid impact assessment of floods8
An assessment on the off-road trafficability using a quantitative rule method with geographical and geological data8
Simulating volume-controlled invasion of a non-wetting fluid in volumetric images using basic image processing tools8
An automatic graph-based method for characterizing multichannel networks8
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data8
A combined deep learning and morphology approach for DFS identification and parameter extraction8
Rapid surrogate modeling of magnetotelluric in the frequency domain using physics-driven deep neural networks8
Functional multiple-point simulation8
Seimic impedance inversion based on semi-supervised learning8
WlCount: Geological lamination detection and counting using an image analysis approach8
Relative dating of fault activity using the principle of cross-cutting relationships: An automated approach8
A method for preserving three spatial features in the upscaling of categorical raster data8
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model8
Automatic recognition of debris rock lithology based on unsupervised semantic segmentation8
Editorial Board7
APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data7
Intelligent fault prediction with wavelet-SVM fusion in coal mine7
GeoReservoir: An ontology for deep-marine depositional system geometry description7
Expert K-means reconstruction method: a novel image processing approach for mesostructure reconstruction of crystalline rocks7
Constrained non-linear AVO inversion based on the adjoint-state optimization7
Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed neural network7
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China7
SphGLLTools: A toolbox for visualization of large seismic model files based on 3D spectral-element meshes7
An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples7
Auto-Tuning for OpenMP Dynamic Scheduling applied to Full Waveform Inversion7
A novel finer soil strength mapping framework based on machine learning and remote sensing images7
Bayesian learning of gas transport in three-dimensional fracture networks7
Incorporating spatial autocorrelation into deformable ConvLSTM for hourly precipitation forecasting7
Study on exploring the extraction of geological elements from 3D geological models within the constraints of geological knowledge7
Refrapy: A Python program for seismic refraction data analysis7
Integrating scientific knowledge into machine learning using interactive decision trees7
Core box image recognition and its improvement with a new augmentation technique7
GeoGravGOCE: A standalone MATLAB GUI for processing GOCE satellite gradient data7
EMFEM: A parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method7
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