| Prediction of hard rock TBM penetration rate using particle swarm optimization S Yagiz, H Karahan International Journal of Rock Mechanics and Mining Sciences 48 (3), 427-433, 2011 | 232 | 2011 |
| Parameter estimation of the nonlinear Muskingum flood-routing model using a hybrid harmony search algorithm H Karahan, G Gurarslan, ZW Geem Journal of Hydrologic Engineering 18 (3), 352-360, 2013 | 165 | 2013 |
| Application of various optimization techniques and comparison of their performances for predicting TBM penetration rate in rock mass S Yagiz, H Karahan International Journal of Rock Mechanics and Mining Sciences 80, 308-315, 2015 | 139 | 2015 |
| A simulation/optimization model for the identification of unknown groundwater well locations and pumping rates MT Ayvaz, H Karahan Journal of Hydrology 357 (1-2), 76-92, 2008 | 133 | 2008 |
| Aquifer parameter and zone structure estimation using kernel-based fuzzy c-means clustering and genetic algorithm MT Ayvaz, H Karahan, MM Aral Journal of Hydrology 343 (3-4), 240-253, 2007 | 94 | 2007 |
| Implicit finite difference techniques for the advection–diffusion equation using spreadsheets H Karahan Advances in Engineering Software 37 (9), 601-608, 2006 | 92 | 2006 |
| Unconditional stable explicit finite difference technique for the advection–diffusion equation using spreadsheets H Karahan Advances in Engineering Software 38 (2), 80-86, 2007 | 70 | 2007 |
| Numerical solution of advection‐diffusion equation using a sixth‐order compact finite difference method G Gurarslan, H Karahan, D Alkaya, M Sari, M Yasar Mathematical Problems in Engineering 2013 (1), 672936, 2013 | 66 | 2013 |
| Solving inverse problems of groundwater-pollution-source identification using a differential evolution algorithm G Gurarslan, H Karahan Hydrogeology Journal 23 (6), 1109-1119, 2015 | 64 | 2015 |
| A new nonlinear Muskingum flood routing model incorporating lateral flow H Karahan, G Gurarslan, ZW Geem Engineering Optimization 47 (6), 737-749, 2015 | 64 | 2015 |
| Transient groundwater modeling using spreadsheets H Karahan, MT Ayvaz Advances in Engineering Software 36 (6), 374-384, 2005 | 60 | 2005 |
| Simultaneous parameter identification of a heterogeneous aquifer system using artificial neural networks H Karahan, MT Ayvaz Hydrogeology Journal 16, 817-827, 2008 | 55 | 2008 |
| Discussion of “Evaluation of Explicit Numerical Solution Methods of the Muskingum Model” by Ali R. Vatankhah H Karahan Journal of Hydrologic Engineering 20 (8), 07015005-1, 2015 | 45* | 2015 |
| Predicting Muskingum flood routing parameters using spreadsheets H Karahan Computer Applications in Engineering Education 20 (2), 280-286, 2012 | 38 | 2012 |
| Predicting rainfall intensity using a genetic algorithm approach H Karahan, H Ceylan, M Tamer Ayvaz Hydrological Processes 21 (4), 470-475, 2007 | 37 | 2007 |
| Time‐dependent groundwater modeling using spreadsheet H Karahan, MT Ayvaz Computer applications in engineering education 13 (3), 192-199, 2005 | 37 | 2005 |
| A third-order upwind scheme for the advection–diffusion equation using spreadsheets H Karahan Advances in Engineering Software 38 (10), 688-697, 2007 | 36 | 2007 |
| Groundwater parameter estimation by optimization and dual reciprocity finite differences method H Karahan, MT Ayvaz Journal of Porous Media 8 (2), 2005 | 35 | 2005 |
| Solution of weighted finite difference techniques with the advection–diffusion equation using spreadsheets H Karahan Computer Applications in Engineering Education 16 (2), 147-156, 2008 | 27 | 2008 |
| Application of differential evolution algorithm and comparing its performance with literature to predict rock brittleness for excavatability S Yagiz, A Yazitova, H Karahan International Journal of Mining, Reclamation and Environment 34 (9), 672-685, 2020 | 25 | 2020 |
