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 2021-12-01 to 2025-12-01.)

Article	Citations
Empirical mode decomposition for improved radar wind estimation during rainy conditions	133
Application of uncertain hurricane climate change projections to catastrophe risk models	110
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model	99
Nitrate pollution source apportionment and uncertainty analysis in typical water diversion source area based on nitrogen and oxygen isotopes and the mixsiar modeling	82
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements	65
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco	64
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China	64
A review in stability of stochastic prey–predator models	62
Quantifying the weekly cycle effect of air pollution in cities of China	61
Determining the percentile threshold of daily extreme precipitation, methods evaluation	54
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios	51
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity	46
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea	46
A new interpretable prediction framework for step-like landslide displacement	46
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models	45
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction	40
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data	37
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution	37
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations	36
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases	36
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture	36
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India	33
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran	33
Master equation model for solute transport in river basins: part I channel fluvial scale	32
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate	32

An innovative framework for real-time monitoring of pollutant point sources in river networks	32
An ensemble learning strategy for spatiotemporal drought assessment through the fusion of multi-satellite and atmospheric reanalysis precipitation products	31
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	31
A multi-type branching process model for epidemics with application to COVID-19	31
Spatiotemporal data science: theoretical advances and applications	30
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage	30