Immediate Impact

1 from Science/Nature 58 standout
Sub-graph 1 of 24

Citing Papers

An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete
2025 Standout
Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods
2025 Standout
1 intermediate paper

Works of Gilbert Silva being referenced

Study on waste foundry exhaust sand, WFES, as a partial substitute of fine aggregates in conventional concrete
2018

Author Peers

Author Last Decade Papers Cites
Gilbert Silva 205 149 46 47 294
Peter Omoniyi 193 81 61 44 290
César Augusto Isaza Merino 159 137 30 30 256
Joshua Silverstein 137 121 25 39 275
T. Chen 219 168 19 23 288
Michele Magnan 166 108 13 29 285
Hongting Liu 120 146 55 27 326
János Ginsztler 256 104 13 29 297
Natália de Freitas Daudt 111 146 45 37 286
Saeed Khademzadeh 272 130 34 22 328
Samson Olaitan Jeje 184 130 23 30 289

All Works

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Rankless by CCL
2026