| Fuzzy logic model for the prediction of cement compressive strength S Akkurt, G Tayfur, S Can Cement and concrete research 34 (8), 1429-1433, 2004 | 276 | 2004 |
| Artificial neural networks for sheet sediment transport G Tayfur Hydrological Sciences Journal 47 (6), 879-892, 2002 | 219 | 2002 |
| Physical and mathematical modelling of anaerobic digestion of organic wastes G Kiely, G Tayfur, C Dolan, K Tanji Water research 31 (3), 534-540, 1997 | 203 | 1997 |
| The use of GA–ANNs in the modelling of compressive strength of cement mortar S Akkurt, S Ozdemir, G Tayfur, B Akyol Cement and concrete research 33 (7), 973-979, 2003 | 188 | 2003 |
| ANN and fuzzy logic models for simulating event-based rainfall-runoff G Tayfur, VP Singh Journal of hydraulic engineering 132 (12), 1321-1330, 2006 | 184 | 2006 |
| Applicability of St. Venant equations for two-dimensional overland flows over rough infiltrating surfaces G Tayfur, ML Kavvas, RS Govindaraju, DE Storm Journal of Hydraulic Engineering 119 (1), 51-63, 1993 | 170 | 1993 |
| Predicting longitudinal dispersion coefficient in natural streams by artificial neural network G Tayfur, VP Singh Journal of Hydraulic Engineering 131 (11), 991-1000, 2005 | 147 | 2005 |
| Soft computing in water resources engineering: Artificial neural networks, fuzzy logic and genetic algorithms G Tayfur WIT Press, 2014 | 144 | 2014 |
| Case study: Finite element method and artificial neural network models for flow through Jeziorsko earthfill dam in Poland G Tayfur, D Swiatek, A Wita, VP Singh Journal of Hydraulic Engineering 131 (6), 431-440, 2005 | 141 | 2005 |
| Fuzzy logic algorithm for runoff-induced sediment transport from bare soil surfaces G Tayfur, S Ozdemir, VP Singh Advances in water resources 26 (12), 1249-1256, 2003 | 137 | 2003 |
| Groundwater contamination and its effect on health in Turkey A Baba, G Tayfur Environmental Monitoring and Assessment 183, 77-94, 2011 | 130 | 2011 |
| Artificial neural networks for estimating daily total suspended sediment in natural streams G Tayfur, V Guldal Hydrology Research 37 (1), 69-79, 2006 | 105 | 2006 |
| Two-dimensional numerical modeling of flood wave propagation in an urban area due to Ürkmez dam-break, İzmir, Turkey I Haltas, G Tayfur, S Elci Natural Hazards 81, 2103-2119, 2016 | 94 | 2016 |
| Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites AT Seyhan, G Tayfur, M Karakurt, M Tanogˇlu Computational Materials Science 34 (1), 99-105, 2005 | 92 | 2005 |
| Strength prediction of high-strength concrete by fuzzy logic and artificial neural networks G Tayfur, TK Erdem, Ö Kırca Journal of Materials in Civil Engineering 26 (11), 04014079, 2014 | 91 | 2014 |
| Modern optimization methods in water resources planning, engineering and management G Tayfur Water Resources Management 31, 3205-3233, 2017 | 89 | 2017 |
| Experimental and numerical investigation of bed-load transport under unsteady flows G Bombar, Ş Elçi, G Tayfur, MŞ Güney, A Bor Journal of Hydraulic Engineering 137 (10), 1276-1282, 2011 | 88 | 2011 |
| Predicting suspended sediment loads and missing data for Gediz River, Turkey A Ulke, G Tayfur, S Ozkul Journal of Hydrologic Engineering 14 (9), 954-965, 2009 | 77 | 2009 |
| Supervised intelligent committee machine method for hydraulic conductivity estimation G Tayfur, AA Nadiri, AA Moghaddam Water resources management 28, 1173-1184, 2014 | 76 | 2014 |
| Flood hydrograph prediction using machine learning methods G Tayfur, VP Singh, T Moramarco, S Barbetta Water 10 (8), 968, 2018 | 69 | 2018 |
