OOIR: Observatory of International Research

Papers

(The H4-Index of Stochastic Environmental Research and Risk Assessment is 30. 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 2021-07-01 to 2025-07-01.)

Article	Citations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution	114
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture	92
Empirical mode decomposition for improved radar wind estimation during rainy conditions	86
A new interpretable prediction framework for step-like landslide displacement	77
Application of uncertain hurricane climate change projections to catastrophe risk models	68
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations	63
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements	62
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India	57
A review in stability of stochastic prey–predator models	55
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models	52
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model	50
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios	47
Quantifying the weekly cycle effect of air pollution in cities of China	46
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran	45
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity	44
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction	41
Determining the percentile threshold of daily extreme precipitation, methods evaluation	41
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China	41
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco	41
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases	40
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data	37
Master equation model for solute transport in river basins: part I channel fluvial scale	36
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate	36
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran	35
Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset	34

River discharge prediction using wavelet-based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India	33
Classification of groundwater source protection areas in heterogeneous aquifers in plain areas based on Monte Carlo method	30
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage	30
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas	30
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data	30
Stochastic assessment of groundwater PFAS concentrations in North-Eastern Italy	30