Immediate Impact

81 standout
Sub-graph 1 of 18

Citing Papers

Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
2024 Standout
Machine Learning Methods for Small Data Challenges in Molecular Science
2023 Standout
96 intermediate papers

Works of M. Alvarez Grima being referenced

Modeling tunnel boring machine performance by neuro-fuzzy methods
2000
Application of neural networks for the prediction of the unconfined compressive strength (UCS) from Equotip hardness
1999
and 4 more

Author Peers

Author Last Decade Papers Cites
M. Alvarez Grima 659 507 576 11 972
Mohd For Mohd Amin 487 364 549 21 856
Seyed Rahman Torabi 657 345 558 30 925
Bhatawdekar Ramesh Murlidhar 558 183 423 22 868
Jafar Khademi Hamidi 676 491 410 34 855
K. Zorlu 557 387 639 15 1.0k
Satar Mahdevari 473 311 287 14 815
Jian Zhou 453 179 336 30 744
R.J. Fowell 544 342 744 30 1.1k
Jiayao Chen 602 233 277 36 914
Reza Tarinejad 738 185 252 39 961

All Works

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2026