Computers & Geosciences

Papers
(The H4-Index of Computers & Geosciences is 34. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Hydrologic similarity based on width function and hypsometry: An unsupervised learning approach103
Relative importance of parameters controlling scour at bridge piers using the new toolbox ScourAPP93
TranSeis: A high precision multitask seismic waveform detector85
Multi-domain diffraction identification: A supervised deep learning technique for seismic diffraction classification79
Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification68
RaDeCC Reader: Fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems68
Spatial bagging to integrate spatial correlation into ensemble machine learning66
An optimized outlier detection function for multibeam echo-sounder data63
Variational Gaussian processes for implicit geological modeling62
Refrapy: A Python program for seismic refraction data analysis61
Study on InSAR image fusion for improved visualization of active landslides in alpine valley areas: A case in the Batang Region, China61
Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm60
Commutative encryption and watermarking algorithm based on compound chaotic systems and zero-watermarking for vector map55
Automatic extraction of outcrop cavity based on a multiscale regional convolution neural network53
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty53
Integrating scientific knowledge into machine learning using interactive decision trees52
PHREESQL: A toolkit to efficiently compute and store geochemical speciation calculation47
On data selection for training wind forecasting neural networks45
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description45
Prediction of tornado days in the United States with deep convolutional neural networks45
Physics-constrained neural networks for half-space seismic wave modeling45
Efficiently simulating Lagrangian particles in large-scale ocean flows — Data structures and their impact on geophysical applications44
Effect of missing data on short time series and their application in the characterization of surface temperature by detrended fluctuation analysis43
Optimized Apriori algorithm for deformation response analysis of landslide hazards43
Higher-order thin layer method as an efficient forward model for calculating dispersion curves of surface and Lamb waves in layered media43
Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients41
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning41
Predictive digital rock physics without segmentation40
Enhanced conditional Co-Gibbs sampling algorithm for data imputation40
Data-driven semi-supervised clustering for oil prediction40
Open-AMA: Open-source software for air masses statistical analysis40
Unification of tsunami-related terminology: Ontology engineering perspective36
Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation36
Determination of earthquake focal mechanism via multi-task learning35
On the numerical resolution of the second-order viscoacoustic and viscoelastic anisotropic wave equations using the recursive convolution method34
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