OOIR: Observatory of International Research

Papers

(The H4-Index of Structural Concrete is 25. 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 2020-10-01 to 2024-10-01.)

Article	Citations
Evaluating the influence of fly ash and waste glass on the characteristics of coconut fibers reinforced concrete	67
Shrinkage, cementitious paste volume, and wet packing density of concrete	65
Hybrid fiber concrete with different basalt fiber length and content	62
Model uncertainty in non‐linear numerical analyses of slender reinforced concrete members	62
Effect of ground granulated blast furnace slag and fly ash ratio and the curing conditions on the mechanical properties of geopolymer concrete	57
Experimental studies on rheological, mechanical, and microstructure properties of self‐compacting concrete containing perovskite nanomaterial	50
Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network	48
Analysis and prediction of the effect of Nanosilica on the compressive strength of concrete with different mix proportions and specimen sizes using various numerical approaches	46
Effect of concrete wet packing density on the uni‐axial strength of manufactured sand CFST columns	38
Time‐dependent cyclic behavior of reinforced concrete bridge columns under chlorides‐induced corrosion and rebars buckling	37
A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique	36
Analysis on displacement‐based seismic design method of recycled aggregate concrete‐filled square steel tube frame structures	34
Post‐fire behavior of steel slag fine aggregate concrete	34
Retracted: A comparative study on predicting the rapid chloride permeability of self‐compacting concrete using meta‐heuristic algorithm and artificial intelligence techniques	34
Effect of modified nano‐titanium and fly ash on ultra‐high‐performance concrete properties	32
Using artificial neural network and non‐destructive test for crack detection in concrete surrounding the embedded steel reinforcement	32
Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete	31
Mechanical and durability properties of steel fiber‐reinforced concrete containing coarse recycled concrete aggregate	31
Structural health monitoring methods, dispersion of fibers, micro and macro structural properties, sensing, and mechanical properties of self‐sensing concrete—A review	30
Retracted: Predicting the compressive strength of modified recycled aggregate concrete	29
Prediction of compressive strength of geopolymer concrete using machine learning techniques	29
Early‐age behavior and mechanical properties of cement‐based materials with various types and fineness of recycled powder	29
Effect of rubber aggregate size on static and dynamic compressive properties of rubberized concrete	26
Assessment of existing reinforced‐concrete bridges under road‐traffic loads according to the new Italian guidelines	26
A combination of deep learning and genetic algorithm for predicting the compressive strength of high‐performance concrete	26

Application of optimization‐based regression analysis for evaluation of frost durability of recycled aggregate concrete	25
Toward a codified design of recycled aggregate concrete structures: Background for the new fib Model Code 2020 and Eurocode 2	25
Retracted: Prediction of the elastic modulus of recycled aggregate concrete applying hybrid artificial intelligence and machine learning algorithms	25