OOIR: Observatory of International Research

Papers

(The H4-Index of Transportation Geotechnics is 34. 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
Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms	114
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks	82
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling	81
Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study	79
Introducing stacking machine learning approaches for the prediction of rock deformation	75
Strength and durability assessment of expansive soil stabilized with recycled ash and natural fibers	75
Shear strength and life cycle assessment of volcanic ash-based geopolymer and cement stabilized soil: A comparative study	69
Artificial intelligence forecasting models of uniaxial compressive strength	69
An efficient optimal neural network based on gravitational search algorithm in predicting the deformation of geogrid-reinforced soil structures	60
Use of secondary additives in fly ash based soil stabilization for soft subgrades	55
Numerical study on stability of lignosulphonate-based stabilized surficial layer of unsaturated expansive soil slope considering hydro-mechanical effect	51
Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning	50
Developing hybrid ELM-ALO, ELM-LSO and ELM-SOA models for predicting advance rate of TBM	49
Geotechnical characterization of plastic waste materials in pavement subgrade applications	48
Application of recycled tire polymer fibers and glass fibers for clay reinforcement	46
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods	46
Review of current and future bio-based stabilisation products (enzymatic and polymeric) for road construction materials	45
Pipeline burst-related ground stability in blowout condition	44
The influence of pipe-jacking tunneling on deformation of existing tunnels in soft soils and the effectiveness of protection measures	43
Improved methods to prevent railway embankment failure and subgrade degradation: A review	43
Large-scale direct shear testing of waste crushed rock reinforced with waste rubber as pavement base/subbase materials	41
Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches	38
Improving engineering characteristics of expansive soils using industry waste as a sustainable application for reuse of bagasse ash	38
Experimental and numerical studies on failure behaviours of sandstones subject to freeze-thaw cycles	38
Stability prediction of a natural and man-made slope using various machine learning algorithms	37

Examining the relationship between two road performance indicators: Pavement condition index and international roughness index	37
Evaluation of geogrid reinforcement of flexible pavement performance: A review of large-scale laboratory studies	36
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm	36
Effect of compaction delay on the strength and consolidation properties of cement-stabilized subgrade soil	36
Beams on elastic foundations – A review of railway applications and solutions	35
COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks	35
Mechanical and Environmental Performance of Eggshell Lime for Expansive Soils Improvement	35
Stabilization of gold mining tailings with alkali-activated carbide lime and sugarcane bagasse ash	35
Developing bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method	34
Modelling railway ballasted track settlement in vehicle-track interaction analysis	34
Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques	34
A hybrid methodology for predicting train-induced vibration on sensitive equipment in far-field buildings	34
Effect of freeze–thaw cycles on the resilient moduli and unconfined compressive strength of rubberized recycled concrete aggregate as pavement base/subbase	34