OOIR: Observatory of International Research

Papers

(The H4-Index of Stochastic Environmental Research and Risk Assessment is 31. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A machine learning forecasting model for COVID-19 pandemic in India	247
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction	120
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms	118
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction	91
Projections of precipitation over China based on CMIP6 models	68
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process	67
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model	61
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India	57
Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA	53
Meteorological impacts on the incidence of COVID-19 in the U.S.	53
Review of landslide susceptibility assessment based on knowledge mapping	50
Stream water quality prediction using boosted regression tree and random forest models	48
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression	47
COVID-19 and water	47
A probabilistic-deterministic analysis of human health risk related to the exposure to potentially toxic elements in groundwater of Urmia coastal aquifer (NW of Iran) with a special focus on arsenic s	47
Artificial Intelligence models for prediction of the tide level in Venice	45
Exposure and health: A progress update by evaluation and scientometric analysis	45
Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China	44
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India	44
Dissecting innovative trend analysis	43
Development of new machine learning model for streamflow prediction: case studies in Pakistan	42
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction	40
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries	39
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach	36
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India	35

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios	35
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran	34
Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system	34
Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan	33
A new soft computing model for daily streamflow forecasting	32
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions	32
A comparison of statistical and machine learning methods for debris flow susceptibility mapping	31
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment	31
Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis	31