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 2021-04-01 to 2025-04-01.)
ArticleCitations
A reversible-jump Markov chain Monte Carlo algorithm to estimate paleo surface CO2 fluxes linking temperature to atmospheric CO2 concentration time series132
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method115
Linear filter theory for the forward Laplace transform and its use in calculating 1D EM responses101
Time reversal imaging and transfer learning for spatial and temporal seismic source location94
TranSeis: A high precision multitask seismic waveform detector87
An integrated neighborhood and scale information network for open-pit mine change detection in high-resolution remote sensing images82
RaDeCC Reader: Fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems72
Relative importance of parameters controlling scour at bridge piers using the new toolbox ScourAPP71
Augmented formulation for a Bayesian approach for frequency-domain full-waveform inversion to estimate the material properties of a layered half-space70
Spatial bagging to integrate spatial correlation into ensemble machine learning69
A 3D reconstruction method of porous media based on improved WGAN-GP67
Improved estimation of coalbed methane content using the revised estimate of depth and CatBoost algorithm: A case study from southern Sichuan Basin, China63
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning62
Study on InSAR image fusion for improved visualization of active landslides in alpine valley areas: A case in the Batang Region, China61
VSP wavefields separating method based on parallel local slope scanning58
Deep diffusion models for seismic processing55
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology55
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty54
Automatic extraction of outcrop cavity based on a multiscale regional convolution neural network53
Prediction of tornado days in the United States with deep convolutional neural networks53
Effect of missing data on short time series and their application in the characterization of surface temperature by detrended fluctuation analysis52
Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients52
Predictive digital rock physics without segmentation51
Open-AMA: Open-source software for air masses statistical analysis48
Neural operator-based proxy for reservoir simulations considering varying well settings, locations, and permeability fields48
Unification of tsunami-related terminology: Ontology engineering perspective48
Determination of earthquake focal mechanism via multi-task learning47
A parallel programming application of the A* algorithm in digital rock physics46
Finite-infinite element analysis for flow simulation in a phreatic aquifer43
Association Announcement 2023 Felix Chayes Prize42
A simple approach to increasing computational efficiency of numerical simulations of hydrocarbon migration based on the Darcy flow concept42
SphGLLTools: A toolbox for visualization of large seismic model files based on 3D spectral-element meshes40
Unsupervised detection of Saturn magnetic field boundary crossings from plasma spectrometer data40
Spatiotemporal flow features in gravity currents using computer vision methods40
Hydrologic similarity based on width function and hypsometry: An unsupervised learning approach37
3D coupled FEM-IBIEM for non-linear seismic response of a sedimentary basin using equivalent-linearized soil model37
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering36
Commutative encryption and watermarking algorithm based on compound chaotic systems and zero-watermarking for vector map35
Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm35
3D Quantum Cuts for automatic segmentation of porous media in tomography images33
Editorial Board33
DeepRivWidth : Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka32
Editorial Board32
Upgraded software for structural gravity inversion and application to El Hierro (Canary Islands)31
Constant-Q wave propagation and compensation by pseudo-spectral time-domain methods31
Association announcement 2021 Felix Chayes Prize31
Classification, segmentation and correlation of zoned minerals29
Multi-domain diffraction identification: A supervised deep learning technique for seismic diffraction classification29
On data selection for training wind forecasting neural networks28
Classifying tree species in the plantations of southern China based on wavelet analysis and mathematical morphology28
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion27
SDZM: Software for determining shear damage zones of rock joints27
A hybrid compression method for the NMR data based on window averaging and Discrete Cosine Transform27
Refrapy: A Python program for seismic refraction data analysis26
Volunteered geographic information mobile application for participatory landslide inventory mapping26
Improving the documentation and findability of data services and repositories: A review of (meta)data management approaches25
A fast 3D gravity forward algorithm based on circular convolution25
Compression of seismic forward modeling wavefield using TuckerMPI25
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection25
GeoGravGOCE: A standalone MATLAB GUI for processing GOCE satellite gradient data25
Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples25
Integrating scientific knowledge into machine learning using interactive decision trees24
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation24
3D fictitious wave domain CSEM inversion by adjoint source estimation23
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description23
A general and extensible framework for assessing change detection techniques23
An optimized outlier detection function for multibeam echo-sounder data22
An encoder–decoder deep neural network for binary segmentation of seismic facies22
Multi-objective particle swarm optimization for multimode surface wave analysis22
Optimizing oil-source correlation analysis using support vector machines and sensory attention networks22
Local phase-constrained convolutional autoencoder network for identifying multivariate geochemical anomalies22
A new method for generating equidistant/equiratio line between two points on the earth ellipsoid21
On the numerical resolution of the second-order viscoacoustic and viscoelastic anisotropic wave equations using the recursive convolution method21
A reverse tracing of the water flow path algorithm for slope length extraction based on triangulated irregular network21
An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples21
PHREESQL: A toolkit to efficiently compute and store geochemical speciation calculation20
Intelligent fault prediction with wavelet-SVM fusion in coal mine20
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM20
Composite loss function for 3-D poststack seismic data compression20
Robust frequency-domain acoustic waveform inversion using a measurement of smooth radical function derived from compressive sensing20
Constructing three-dimension digital rock with porosity information constraint: A double-network-cycled style-based deep-learning approach19
Borehole lithology modelling with scarce labels by deep transductive learning19
SigMT: An open-source Python package for magnetotelluric data processing18
Smooth slip is all you need: A singularity-free boundary element method for fault slip problems18
Calculating sensitivity or gradient for geophysical inverse problems using automatic and implicit differentiation18
Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas18
Editorial Board18
Geothermal modeling in complex geological systems with ComPASS18
Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches17
Optimized Apriori algorithm for deformation response analysis of landslide hazards17
Novel empirical curvelet denoising strategy for suppressing mixed noise of microseismic data17
Congruence and geometric feature-based commutative encryption-watermarking method for vector maps17
Numerical modelling of deep coaxial borehole heat exchangers in the Cheshire Basin, UK17
Physics-constrained neural networks for half-space seismic wave modeling17
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method17
tc-cylinder: An optimized algorithm for accurate topography effect from high-resolution digital elevation models17
Editorial Board17
A simple and fast method to calculate dispersion curves of Rayleigh waves due to models with a low-velocity half-space16
Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms16
An advanced median filter for improving the signal-to-noise ratio of seismological datasets16
MagTFs: A tool for estimating multiple magnetic transfer functions to constrain Earth’s electrical conductivity structure16
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks16
Higher-order thin layer method as an efficient forward model for calculating dispersion curves of surface and Lamb waves in layered media15
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data15
Swin Transformer for simultaneous denoising and interpolation of seismic data15
Deep learning in denoising of micro-computed tomography images of rock samples15
Constrained non-linear AVO inversion based on the adjoint-state optimization14
Efficiently simulating Lagrangian particles in large-scale ocean flows — Data structures and their impact on geophysical applications14
Automated segmentation of textured dust storms on mars remote sensing images using an encoder-decoder type convolutional neural network14
Learning 3D mineral prospectivity from 3D geological models using convolutional neural networks: Application to a structure-controlled hydrothermal gold deposit14
Variational Gaussian processes for implicit geological modeling14
Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China14
APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data14
Combining a class-weighted algorithm and machine learning models in landslide susceptibility mapping: A case study of Wanzhou section of the Three Gorges Reservoir, China14
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification14
3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms14
Generating unrepresented proportions of geological facies using Generative Adversarial Networks14
Learning spatial patterns with variational Gaussian processes: Regression14
PINNeik: Eikonal solution using physics-informed neural networks14
Efficient computation on large regular grids of higher-order spatial statistics via fast Fourier transform13
Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning13
Deep learning framework for geological symbol detection on geological maps13
Linking geo-models for geomorphological classification using knowledge graphs13
Editorial Board12
A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit12
A Fast 3-D finite element modeling algorithm for land transient electromagnetic method with OneAPI acceleration12
Zero watermarking for vector geographic point data based on convex layers12
A continuous piecewise polynomial fitting algorithm for trend changing points detection of sea level12
New fast imaging techniques for electrical source transient electromagnetic data: Approaches and application12
Detecting local earthquakes via fiber-optic cables in telecommunication conduits under Stanford University campus using deep learning12
Revisiting the declustering of spatial data with preferential sampling12
A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection12
Editorial Board12
Eccentricity curve estimation from geological data using sinusoidal modeling12
ScoreInver: 3D seismic impedance inversion based on scoring mechanism12
GPR-FWI-Py: Open-source Python software for multi-scale regularized full waveform inversion in Ground Penetrating Radar using random excitation sources12
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI12
GeoSPARQL query support for scientific raster array data12
Seismic random noise suppression by structure-oriented BM3D12
Synthetic seismic data generation with pix2pix for enhanced fault detection model training12
A novel algorithm for identifying arrival times of P and S Waves in seismic borehole surveys12
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation11
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization11
Deep learning in image segmentation for mineral production: A review11
Users of open Big Earth data – An analysis of the current state11
Modified-mean-shift-based noisy label detection for hyperspectral image classification11
Introducing a new index for flood mapping using Sentinel-2 imagery (SFMI)11
A new approach considering temporal correlations for GPS campaign time series11
Grain boundary networks and shape preferred orientation – A fresh angle on pattern quantification with GBPaQ11
Graph neural network-based topological relationships automatic identification of geological boundaries11
First national inventory of high-elevation mass movements in the Italian Alps10
Random noise attenuation in seismic data using Hankel sparse low-rank approximation10
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation10
SwinMin: A mineral recognition model incorporating convolution and multi-scale contexts into swin transformer10
Sediment grain segmentation in thin-section images using dual-modal Vision Transformer10
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC10
Remote sensing image recommendation based on spatial–temporal embedding topic model10
Segmentation of ore and waste rocks in borehole images using the multi-module densely connected U-net10
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation10
Distilling data to drive carbon storage insights10
Evaluation of LiDAR-derived river networks coarsening with spatial patterns preservation10
Semantic segmentation of explosive volcanic plumes through deep learning10
A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds10
SMART mineral mapping: Synchrotron-based machine learning approach for 2D characterization with coupled micro XRF-XRD10
Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales9
Semantic segmentation of coastal aerial/satellite images using deep learning techniques: An application to coastline detection9
Corrigendum to “An adaptive-size vector tile pyramid construction method considering spatial data distribution density characteristics” [Comput. Geosci. 184 (2024) 105537]9
Study on exploring the extraction of geological elements from 3D geological models within the constraints of geological knowledge9
tonus: Detection, characterization and cataloguing of seismo-volcanic tonal signals9
A fast and robust method for detecting trend turning points in InSAR displacement time series9
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF9
Diffuser: A user-friendly program for diffusion chronometry with robust uncertainty estimation9
Cosine-enhanced tuna swarm optimized exponential entropy segmentation method for sand grain microscopic images9
Dual-scattering elastic least-squares reverse time migration9
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis9
A kinematic method for generating earthquake sequences9
A user-centric metadata model to foster sharing and reuse of multidisciplinary datasets in environmental and life sciences9
MeePaSoL: A MATLAB-based GUI software tool for shoreline management8
A robust, fast, and accurate algorithm for point in spherical polygon classification with applications in geoscience and remote sensing8
Real-time and post-hoc compression for data from Distributed Acoustic Sensing8
GROWTH-23: An integrated code for inversion of complete Bouguer gravity anomaly or temporal gravity changes8
Automatic first-arrival picking through convolution kernel construction and particle swarm optimization8
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information8
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)8
Design, implementation and application of the Marchenko plane-wave algorithm8
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data8
Intelligent seismic stratigraphic modeling using temporal convolutional network8
A web-based system for satellite-based high-resolution global soil moisture maps8
Full waveform inversion using Random Mixing8
Machine learning application to layer counting in speleothems8
WaCoDiS: Automated Earth Observation data processing within an event-driven architecture for water monitoring8
Global mantle conductivity imaging using 3-D geomagnetic depth sounding with real earth surface conductivity constraint8
Generalized Gauss-FFT 3D forward gravity modeling for irregular topographic mass having any 3D variable density contrast8
Benchmarking multiphysics software for mantle convection8
DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands8
A framework for ecosystem service assessment using GIS interoperability standards8
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression8
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media8
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets8
Seismic fault detection using convolutional neural networks with focal loss8
Comparative analysis of computational schemes for FEM modeling of 3D time-domain geoelectromagnetic fields excited by a horizontal grounded-wire source8
Chroma: A MATLAB package and open-source platform for biomarker data processing and automatic index calculations8
Risk-based tsunami early warning using random forest8
Computational cost comparison between nodal and vector finite elements in the modeling of controlled source electromagnetic data using a direct solver8
Deep learning-based image classification for online multi-coal and multi-class sorting8
A two-dimensional magnetotelluric deep learning inversion approach based on improved Dense Convolutional Network8
NT-Com: A combined machine learning model for picking up first arrival8
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