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 2021-10-01 to 2025-10-01.)

Article	Citations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution	126
Empirical mode decomposition for improved radar wind estimation during rainy conditions	101
Application of uncertain hurricane climate change projections to catastrophe risk models	95
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations	79
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data	65
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco	63
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases	60
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China	59
A review in stability of stochastic prey–predator models	58
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements	58
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea	52
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India	47
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran	47
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction	44
Quantifying the weekly cycle effect of air pollution in cities of China	44
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models	44
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model	43
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture	43
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity	39
Determining the percentile threshold of daily extreme precipitation, methods evaluation	37
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios	35
A new interpretable prediction framework for step-like landslide displacement	34
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate	34
An innovative framework for real-time monitoring of pollutant point sources in river networks	31
Master equation model for solute transport in river basins: part I channel fluvial scale	31

Time–frequency characterization of seasonal temperature in India and teleconnection of temperature with atmospheric oscillation indices	31
Predicting saturated hydraulic conductivity from particle size distributions using machine learning	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	30
An ensemble learning strategy for spatiotemporal drought assessment through the fusion of multi-satellite and atmospheric reanalysis precipitation products	30
Inferring causal associations in hydrological systems: a comparison of methods	30
A multi-type branching process model for epidemics with application to COVID-19	30
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage	30