OOIR: Observatory of International Research

Papers

(The H4-Index of Geocarto International is 29. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees	133
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images	81
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost	79
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential	67
A new high resolution filter for source edge detection of potential field data	65
Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach	64
Novel ensemble machine learning models in flood susceptibility mapping	61
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping	58
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction	58
Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs	49
Evaluating urban environment quality (UEQ) for Class-I Indian city: an integrated RS-GIS based exploratory spatial analysis	48
Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models	46
Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics	42
Distribution, exposure, and human health risk analysis of heavy metals in drinking groundwater of Ghayen County, Iran	42
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India	41
Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 2019	40
Edge detection of potential field sources using the softsign function	37
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India	35
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data	35
Detailed and automated classification of land use/land cover using machine learning algorithms in Google Earth Engine	34
Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region	34
A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level	33
Structural interpretation of potential field data using the enhancement techniques: a case study	32
Toward the development of deep learning analyses for snow avalanche releases in mountain regions	31
Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree	30

Prediction of suspended sediment concentration using hybrid SVM-WOA approaches	30
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt	30
Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region	30
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning	29
Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest	29