OOIR: Observatory of International Research

Papers

(The H4-Index of Stochastic Environmental Research and Risk Assessment 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 2021-05-01 to 2025-05-01.)

Article	Citations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution	103
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture	85
Empirical mode decomposition for improved radar wind estimation during rainy conditions	81
A new interpretable prediction framework for step-like landslide displacement	75
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases	65
Application of uncertain hurricane climate change projections to catastrophe risk models	62
Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study	59
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations	53
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate	49
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models	48
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model	46
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction	45
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco	44
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data	43
Quantifying the weekly cycle effect of air pollution in cities of China	42
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China	40
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios	39
Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq	38
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity	37
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India	37
Master equation model for solute transport in river basins: part I channel fluvial scale	37
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran	37
Modeling memory-enhanced stochastic suspended sediment transport with fractional Brownian motion in time-persistent turbulent flow	35
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
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties	34

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	33
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data	32
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain	32
Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners	30
Inferring causal associations in hydrological systems: a comparison of methods	29
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model	29