OOIR: Observatory of International Research

Papers

(The H4-Index of Geocarto International is 26. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees	91
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins	65
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images	65
A new high resolution filter for source edge detection of potential field data	58
Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers	55
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping	52
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost	48
Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping	48
Novel ensemble machine learning models in flood susceptibility mapping	48
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential	45
Urban flood susceptibility zonation mapping using evidential belief function, frequency ratio and fuzzy gamma operator models in GIS: a case study of Greater Mumbai, Maharashtra, India	39
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier	39
Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach	38
Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models	35
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India	34
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction	34
Toward the development of deep learning analyses for snow avalanche releases in mountain regions	33
ASTER and WorldView-3 satellite data for mapping lithology and alteration minerals associated with Pb-Zn mineralization	32
Edge detection of potential field sources using the softsign function	32
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India	32
Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 2019	30
Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs	30
Semantic segmentation of land cover from high resolution multispectral satellite images by spectral-spatial convolutional neural network	30
Evaluating urban environment quality (UEQ) for Class-I Indian city: an integrated RS-GIS based exploratory spatial analysis	28
Distribution, exposure, and human health risk analysis of heavy metals in drinking groundwater of Ghayen County, Iran	27

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level	26
Assessing and mapping landslide susceptibility using different machine learning methods	26