Standout Papers

Prediction of concrete materials compressive strength using surrogate models 2022 2026 2023 2024191
  1. Prediction of concrete materials compressive strength using surrogate models (2022)
    Wael Emad, Ahmed Salih Mohammed et al. Structures

Immediate Impact

1 from Science/Nature 51 standout
Sub-graph 1 of 21

Citing Papers

Production, characterization and performance of green geopolymer modified with industrial by-products
2024 Standout
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
2024 Standout
11 intermediate papers

Works of Kawan Ghafor being referenced

Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers
2020
ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash
2020
and 12 more

Author Peers

Author Last Decade Papers Cites
Kawan Ghafor 1271 542 88 151 33 1.4k
Wael Mahmood 1143 421 92 130 35 1.3k
Sardar Kashif Ur Rehman 863 532 72 154 26 1.2k
Pierre Mounanga 1592 578 58 311 39 1.7k
Rakesh Kumar 1028 421 63 227 30 1.2k
Daming Luo 1112 542 65 158 45 1.2k
Li Su 1168 563 67 140 54 1.3k
Michael Haist 814 519 66 134 71 1.0k
Brabha Nagaratnam 805 636 84 72 48 1.1k
Pengwei Guo 1161 590 40 130 29 1.3k
Iman Mehdipour 986 546 118 144 32 1.2k

All Works

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2026