Earth Science Informatics

Papers
(The H4-Index of Earth Science Informatics is 23. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin71
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran59
Predicting and mapping land cover/land use changes in Erbil /Iraq using CA-Markov synergy model55
An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network48
Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain47
Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach45
Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks39
Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques38
Towards the internet of underwater things: a comprehensive survey38
Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia34
Assessment of Shoreline Changes using Historical Satellite Images and Geospatial Analysis along the Lake Salda in Turkey33
Hyperspectral and multispectral image fusion techniques for high resolution applications: a review33
Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India32
Air temperature forecasting using artificial neural network for Ararat valley31
OpenAltimetry - rapid analysis and visualization of Spaceborne altimeter data29
Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion29
Rock classification in petrographic thin section images based on concatenated convolutional neural networks28
Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran28
Seismic spatiotemporal characteristics in the Alpide Himalayan Seismic Belt26
A deep convolutional neural network for rock fracture image segmentation25
Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study25
A review of downscaling methods of satellite-based precipitation estimates24
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey23
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