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 2021-12-01 to 2025-12-01.)
ArticleCitations
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering156
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data148
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology124
Editorial Board114
Compression of seismic forward modeling wavefield using TuckerMPI107
Association Announcement 2023 Felix Chayes Prize87
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description86
Borehole lithology modelling with scarce labels by deep transductive learning74
Learning spatial patterns with variational Gaussian processes: Regression74
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks73
Swin Transformer for simultaneous denoising and interpolation of seismic data73
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM63
Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science61
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection60
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method58
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification54
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI52
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation51
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries49
SAIPy: A Python package for single-station earthquake monitoring using deep learning48
Understanding geological reports based on knowledge graphs using a deep learning approach46
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets46
Graph neural network-based topological relationships automatic identification of geological boundaries46
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media44
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning44
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media42
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information42
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation42
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation41
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression38
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data38
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation38
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis36
PyLGRIM: Modelling 3D-ERI with infinite elements in complex topography context36
FracAbut: A python toolbox for computing fracture stratigraphy using interface impedance36
Mineral prospectivity analysis is unstable to changes in pixel size35
A novel algorithm for seismic events multiplets search35
Emerging trends in big data analytics and natural disasters33
Editorial Board33
Differentiating outcropping strata from oblique photogrammetric data using an octree-based convolutional neural network with spatial parameters32
A benchmark study for quasi-static numerical upscaling of seismic wave attenuation and dispersion in fractured poroelastic rocks31
Quantitative analysis of fracture evolution in fold: Insights from FDEM modelling31
Virtual fieldwork in immersive environments using game engines30
Editorial Board29
Data space inversion for efficient predictions and uncertainty quantification for geothermal models29
ElasWave3D: A GPU-accelerated 3D finite-difference elastic wave solver for complex topography using irregular subdomain index arrays29
For any two arbitrary slices from one digital rock, its twins can be fast stably reconstructed: A novel integrated model of RVION with ADA-PGGAN29
Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks28
Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation27
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method27
Multiscale reconstruction of porous media based on multiple dictionaries learning27
Fractal-based supervised approach for dimensionality reduction of hyperspectral images27
Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python26
Fast forward modeling of grounded electrical-source transient electromagnetic based on inverse Laplace transform adaptive hybrid algorithm25
Stochastic analysis of air–sea heat fluxes variability in the North Atlantic in 1979–2022 based on reanalysis data25
An improved method to accelerate the acquisition efficiency of the T1-T2 spectrum based on the IR-BSSFP-CPMG pulse sequence∗25
Prior information assisted multi-scale network for precipitation nowcasting24
Improved modelling of fluid production and reinjection in geothermal reservoirs24
Editorial Board24
A GPU algorithm for identifying the longest flow paths in catchments24
Probabilistic volcanic mass flow hazard assessment using statistical surrogates of deterministic simulations23
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea23
Mitigation of spatial nonstationarity with vision transformers23
TwoStream-EQT: A microseismic phase picking model combining time and frequency domain inputs22
Simulating electrochemical migration and anion exclusion in porous and fractured media using PFLOTRAN22
Imputation in well log data: A benchmark for machine learning methods22
Research on microseismic signal identification through data fusion21
A high-efficiency parallel fast marching method for large-scale seismic tomography in three-dimensional spherical coordinates21
Hybrid supervised prestack three-parameter inversion method based on physical equation driving21
Automatic identification of semi-tracks on apatite and mica using a deep learning method21
LABQ3: Bayesian method for quantification of mineral compositions and nano-scale elemental mapping of 3D synchrotron XCT data21
pySimFrac: A Python library for synthetic fracture generation and analysis20
DAM-CGNet: Semantic segmentation-based approach for valley-bottom extraction from digital elevation models20
A novel algorithm and software for 3D density gravity inversion20
Measuring sampling fairness and geochemical consensus for blasthole assays within grade-block mining units19
AnalyZr: A Python application for zircon grain image segmentation and shape analysis19
Enhanced wave modeling & optimal plane-wave destruction (OPWD) method for diffraction separation and imaging19
Ensemble hindcasting of winds and waves for the coastal and oceanic region of Southern Brazil19
Identifying microseismic events using a dual-channel CNN with wavelet packets decomposition coefficients18
Parallel assignment of flow directions over flat surfaces in massive digital elevation models18
Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization18
An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning18
Improving generalization through self-supervised learning using generative pre-training transformer for natural gas segmentation18
Densely multiscale framework for segmentation of high resolution remote sensing imagery18
Efficient variable precision reduction in chaotic climate models: Analysis of the NEMO case in the destination earth project18
Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids18
Editorial Board18
P-Swin: Parallel Swin transformer multi-scale semantic segmentation network for land cover classification17
Latent diffusion model for conditional reservoir facies generation17
Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers17
Daily Ten-ST-GEE: An open access and fully automated 10-m LST downscaling system17
Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts17
A high spatiotemporal resolution framework for urban temperature prediction using IoT data16
Hybrid CPU-GPU solution to regularized divergence-free curl-curl equations for electromagnetic inversion problems16
THEPORE: A software package for modeling THErmo-PORo-elastic displacements16
Automatic variogram calculation and modeling16
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
Modeling reactive multi-component multi-phase flow for Geological Carbon Sequestration (GCS) with Matlab16
Physics-Informed Neural Networks for solving transient unconfined groundwater flow16
An improved algorithm for extracting crossovers of satellite ground tracks15
Direct Sequential Simulation for spherical linear inverse problems15
Front and skeleton features based methods for tracking salinity propagation in the ocean15
Deep Kernel Dictionary Learning for detection of wave breaking features in Atmospheric Gravity Waves15
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea15
Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation15
A VTI medium prestack migration method based on the De Wolf approximation15
Local conditioning in posterior sampling methods with example cases in subsurface inversion15
Corrigendum to “Parallel assignment of flow directions over flat surfaces in massive digital elevation models” [Comput. Geosci. 159 (2021) 105015]15
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios15
THYRSIS: A QGIS plugin for hydrogeological modelling14
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing14
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation14
SwinInver: 3D data-driven seismic impedance inversion based on Swin Transformer and adversarial training14
Multiscale study of statistical fractal DFN model and corresponding seismic images14
Capturing exposed bedrock in the upland regions of Great Britain: A geomorphometric focused random forest approach14
Quantitative bed-type classification for a global comparison of deep-water sedimentary systems14
Optimized Apriori algorithm for deformation response analysis of landslide hazards14
Introducing USED: Urban Seismic Event Detection14
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
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation14
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning14
An ontology-based framework for semantic geographic information systems development and understanding14
TomoATT: An open-source package for Eikonal equation-based adjoint-state traveltime tomography for seismic velocity and azimuthal anisotropy13
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation13
GeoSPARQL query support for scientific raster array data13
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
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
EaDz: A web-based, relational database for detrital zircons from East Asia13
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
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes13
Design, implementation and application of the Marchenko plane-wave algorithm13
Computation of specular reflections on a sphere: Assessment and validation of algorithms based on special boundary cases12
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds12
Seismic fault detection using convolutional neural networks with focal loss12
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)12
High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada12
Intelligent seismic stratigraphic modeling using temporal convolutional network12
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection12
3D magnetotelluric inversion with arbitrary data orientation angles12
An improved method for pore size distribution measurement of porous geomaterials based on microscopic images12
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source12
Semi-analytical method for thermal field analysis of multiple arbitrarily shaped inhomogeneities in heterogeneous geological media12
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF12
Editorial Board11
Seismicity-constrained fault detection and characterization with a multitask machine learning model11
Application of polynomial type elastic outer boundary conditions in fractal composite reservoir seepage model11
Discriminator-based stratigraphic sequence semantic augmentation seismic facies analysis11
Smoke or cloud: Real-time satellite image segmentation in a wildfire data integration application11
The multi-GPU Wetland DEM Ponding Model11
Measuring landslide-driven ground displacements with high-resolution surface models and optical flow11
CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS10
Hyperspectral image classification based on faster residual multi-branch spiking neural network10
Unsupervised clustering of ambient seismic noise in an urban environment10
Petro NLP: Resources for natural language processing and information extraction for the oil and gas industry10
PyRefra – Refraction seismic data treatment and inversion10
Core–shell clustering approach for detection and analysis of coastal upwelling10
Estimation of electrical conductivity models using multi-coil rigid-boom electromagnetic induction measurements10
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows10
A deep scalable neural architecture for soil properties estimation from spectral information10
AI-based geological subsurface reconstruction using sparse convolutional autoencoders10
Advection-based tracking and analysis of salinity movement in the Indian Ocean10
Polar night jet characterization through artificial intelligence10
Removing atmospheric noise from InSAR interferograms in mountainous regions with a convolutional neural network10
Introducing PyFaultSlip: A free and open-source tool for the assessment of induced fault slip hazards from deep fluid injection10
Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks10
Effective training strategies for deep-learning-based precipitation nowcasting and estimation10
Editorial Board10
ConvEQ: Convolutional neural network for earthquake phase classification using short time frequency transform10
Sparse graph-regularized dictionary learning for full waveform inversion10
Partially overlapped grain shape restoration of the granular rock images9
A deep learning model for predicting the production of coalbed methane considering time, space, and geological features9
Statistical comparison of variogram-based inversion methods for conditioning to indirect data9
QDMlab: A MATL9
SWE_of_Bathymetry.m: A geomorphometric tool to automate discrimination between detachment and magmatic seafloor at slow-spreading ridges from shipboard multibeam bathymetry9
Siamese topographic generation model: A deep learning model for generating Antarctic subglacial topography with fine details9
A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits9
Multi-mineral segmentation of micro-tomographic images using a convolutional neural network9
Spatio-temporal deep networks with feature disentangling for advancing earthquake monitoring9
Interpreting Deepkriging for spatial interpolation in geostatistics9
Domain knowledge-guided geological named entities recognition of rock minerals based on prompt engineering with error feedback mechanism9
Unsupervised active–transfer learning for automated landslide mapping9
Laudatio for Prof. João Felipe Coimbra Leite Costa, recipient of the John Cedric Griffiths teaching Award9
WlCount: Geological lamination detection and counting using an image analysis approach9
Simulating volume-controlled invasion of a non-wetting fluid in volumetric images using basic image processing tools9
Magnetic anomalies characterization: Deep learning and explainability9
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach9
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring9
A 3D forward stratigraphic model of aeolian dune evolution for prediction of lithofacies heterogeneity9
IntersecT: a Python script for quantitative isopleth thermobarometry of equilibrium and disequilibrium systems9
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods9
DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems9
Cube2sph : A toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package9
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network9
Efficient extraction of seismic reflection with Deep Learning9
LADI: Landslide displacement interpolation through a spatial-temporal Kalman filter9
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