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 2020-03-01 to 2024-03-01.)

Article	Citations
Modeling hydrological consequences of 21st-Century climate and land use/land cover changes in a Mid-high latitude watershed	876022323
The replication crisis and its relevance to Earth Science studies: Case studies and recommendations	540160058
Arsenic contamination of groundwater: A global synopsis with focus on the Indian Peninsula	445
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization	433
State-of-the-art review of soft computing applications in underground excavations	286
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran	207
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia	203
Flood susceptibility modelling using advanced ensemble machine learning models	202
How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?	168
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques	165
Landslide identification using machine learning	158
Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization	148
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms	135
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer	130
Effects of particle size on crushing and deformation behaviors of rockfill materials	115
Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks	107
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management	106
Maximum depositional age estimation revisited	101
Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan	98
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms	97
Comparison of machine learning models for gully erosion susceptibility mapping	93
Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks	92
Modelling of shallow landslides with machine learning algorithms	92
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm	91
Strategies towards robust interpretations of in situ zircon Lu–Hf isotope analyses	90

Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning	88
Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India	84
Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia	81
Sources, characteristics, toxicity, and control of ultrafine particles: An overview	81
Advanced prediction of tunnel boring machine performance based on big data	76
Enhancing environmental quality in the United States by linking biomass energy consumption and load capacity factor	74
Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms	73
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process	72
Flooding and its relationship with land cover change, population growth, and road density	72
Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions	72
Physics informed machine learning: Seismic wave equation	71
National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data	69
Deep learning based classification of rock structure of tunnel face	68
Geological evolution of offshore pollution and its long-term potential impacts on marine ecosystems	68
Centrifuge modelling of landslides and landslide hazard mitigation: A review	64
A scale-integrated exploration model for orogenic gold deposits based on a mineral system approach	62
Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?	62
Application of soft computing techniques for shallow foundation reliability in geotechnical engineering	61
Digital economy and carbon dioxide emissions: Examining the role of threshold variables	61
Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms	59
Deep learning neural networks for spatially explicit prediction of flash flood probability	58
Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques	58
Calculation of groundwater head distribution with a close barrier during excavation dewatering in confined aquifer	56
Does patents on environmental technologies matter for the ecological footprint in the USA? Evidence from the novel Fourier ARDL approach	55
Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India	55
Artificial intelligence in seismology: Advent, performance and future trends	53
A new combined framework for sustainable development using the DPSIR approach and numerical modeling	52