OOIR: Observatory of International Research

Papers

(The H4-Index of Geoscience Frontiers is 52. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Arsenic contamination of groundwater: A global synopsis with focus on the Indian Peninsula	555
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization	546
Flood susceptibility modelling using advanced ensemble machine learning models	267
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia	251
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran	251
Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization	218
Landslide identification using machine learning	204
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques	194
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms	157
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer	144
Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks	136
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management	134
Maximum depositional age estimation revisited	132
Modelling of shallow landslides with machine learning algorithms	115
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms	113
Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks	111
Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India	111
Centrifuge modelling of landslides and landslide hazard mitigation: A review	109
Sources, characteristics, toxicity, and control of ultrafine particles: An overview	109
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm	108
Flooding and its relationship with land cover change, population growth, and road density	107
Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning	105
Natural resource scarcity, fossil fuel energy consumption, and total greenhouse gas emissions in top emitting countries	104
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions	103
Enhancing environmental quality in the United States by linking biomass energy consumption and load capacity factor	102

Advanced prediction of tunnel boring machine performance based on big data	99
Physics informed machine learning: Seismic wave equation	95
Geological evolution of offshore pollution and its long-term potential impacts on marine ecosystems	90
Deep learning based classification of rock structure of tunnel face	88
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process	87
National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data	82
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms	82
Investigating the implications of technological innovations, financial inclusion, and renewable energy in diminishing ecological footprints levels in emerging economies	77
Deep learning neural networks for spatially explicit prediction of flash flood probability	77
Application of soft computing techniques for shallow foundation reliability in geotechnical engineering	75
Digital economy and carbon dioxide emissions: Examining the role of threshold variables	73
Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques	72
Articulating CO2 emissions limiting roles of nuclear energy and ICT under the EKC hypothesis: An application of non-parametric MMQR approach	72
Does patents on environmental technologies matter for the ecological footprint in the USA? Evidence from the novel Fourier ARDL approach	68
Calculation of groundwater head distribution with a close barrier during excavation dewatering in confined aquifer	65
Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India	65
Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms	64
Potentially toxic metal concentration, spatial distribution, and health risk assessment in drinking groundwater resources of southeast Iran	63
Does green growth in E-7 countries depend on economic policy uncertainty, institutional quality, and renewable energy? Evidence from quantile-based regression	63
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models	60
A new combined framework for sustainable development using the DPSIR approach and numerical modeling	58
Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms	57
Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India	57
Multi-hazard susceptibility mapping based on Convolutional Neural Networks	56
Centrifugal model test on a riverine landslide in the Three Gorges Reservoir induced by rainfall and water level fluctuation	55
Hydrogeochemical characterization and quality assessment of groundwater using self-organizing maps in the Hangjinqi gasfield area, Ordos Basin, NW China	54
The role of disaggregated renewable energy consumption on income and load capacity factor: A novel inclusive sustainable growth approach	54
Do investments in green energy, energy efficiency, and nuclear energy R&D improve the load capacity factor? An augmented ARDL approach	52
Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model	52
Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh	52
Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy	52