Computers & Geosciences

Papers
(The H4-Index of Computers & Geosciences is 37. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Association Announcement 2023 Felix Chayes Prize149
A deep learning-based parametric inversion for forecasting water-filled bodies position using electromagnetic method133
Learning spatial patterns with variational Gaussian processes: Regression118
Borehole lithology modelling with scarce labels by deep transductive learning114
Stochastic Gradient Descent optimization to estimate the power-law fractal index in fracture networks101
Swin Transformer for simultaneous denoising and interpolation of seismic data98
Editorial Board93
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description82
DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology79
An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion79
Compression of seismic forward modeling wavefield using TuckerMPI72
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data67
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification67
Imputation of missing values in well log data using k-nearest neighbor collaborative filtering62
Shear wave velocity prediction based on bayesian-optimized multi-head attention mechanism and CNN-BiLSTM61
Efficient and robust Levenberg–Marquardt Algorithm based on damping parameters for parameter inversion in underground metal target detection61
Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media60
Adversarial learning of permanent seismic deformation from GNSS coordinate timeseries55
Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI53
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning53
Modified-mean-shift-based noisy label detection for hyperspectral image classification52
Asymmetric learning based deep denoiser for nonstationary desert seismic noise suppression49
Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information49
Core-CT: A MATLAB application for the quantitative analysis of sediment and coral cores from X-ray computed tomography (CT)48
Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation47
Shale sample permeability estimation using fractal parameters computed from TransUnet-based SEM image segmentation45
Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data43
A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation43
genES-MDA: A generic open-source software package to solve inverse problems via the Ensemble Smoother with Multiple Data Assimilation42
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets42
Understanding geological reports based on knowledge graphs using a deep learning approach42
Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC40
SAIPy: A Python package for single-station earthquake monitoring using deep learning40
3D edge-based and nodal finite element modeling of magnetotelluric in general anisotropic media40
Graph neural network-based topological relationships automatic identification of geological boundaries38
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis37
HPC cluster-based user-defined data integration platform for deep learning in geoscience applications37
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