| Generalization performance of support vector machines and neural networks in runoff modeling M Behzad, K Asghari, M Eazi, M Palhang Expert Systems with applications 36 (4), 7624-7629, 2009 | 329 | 2009 |
| Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network M Nasseri, K Asghari, MJ Abedini Expert systems with applications 35 (3), 1415-1421, 2008 | 261 | 2008 |
| Comparative study of SVMs and ANNs in aquifer water level prediction M Behzad, K Asghari, EA Coppola Jr Journal of Computing in Civil Engineering 24 (5), 408-413, 2010 | 154 | 2010 |
| Predicting nitrate concentration and its spatial distribution in groundwater resources using support vector machines (SVMs) model R Arabgol, M Sartaj, K Asghari Environmental Modeling & Assessment 21, 71-82, 2016 | 92 | 2016 |
| Reliability improved stochastic dynamic programming for reservoir operation optimization M Saadat, K Asghari Water Resources Management 31, 1795-1807, 2017 | 29 | 2017 |
| A numerical study of tuned liquid damper based on incompressible SPH method combined with TMD analogy AH Kashani, AM Halabian, K Asghari Journal of Fluids and Structures 82, 394-411, 2018 | 25 | 2018 |
| Numerical modeling of flow field around the labyrinth side-weirs in the presence of guide vanes A Abdollahi, A Kabiri-Samani, K Asghari, H Atoof, S Bagheri ISH Journal of Hydraulic Engineering 23 (1), 71-79, 2017 | 22 | 2017 |
| Spatial rainfall prediction using optimal features selection approaches K Asghari, M Nasseri Hydrology Research 46 (3), 343-355, 2015 | 18 | 2015 |
| SECTAR for Economically Optimal, Sustained Ground-Water Yield Planning RC Peralta, K Asghari, R Shulstad Journal of irrigation and drainage engineering 117 (1), 5-24, 1991 | 18 | 1991 |
| Modular optimized data assimilation and support vector machine for hydrologic modeling M Mehrparvar, K Asghari Journal of Hydroinformatics 20 (3), 728-738, 2018 | 16 | 2018 |
| The effect of meteorological and hydrological drought on groundwater storage under climate change scenarios S Kamali, K Asghari Water Resources Management 37 (8), 2925-2943, 2023 | 15 | 2023 |
| Uncertainty analysis of water distribution networks using type-2 fuzzy sets and parallel genetic algorithm M Geranmehr, K Asghari, MR Chamani Urban Water Journal 16 (3), 193-204, 2019 | 14 | 2019 |
| Feasibility improved stochastic dynamic programming for optimization of reservoir operation M Saadat, K Asghari Water Resources Management 33 (10), 3485-3498, 2019 | 11 | 2019 |
| Application of clustered-NA-ACO in three-objective optimization of water distribution networks N Mehzad, K Asghari, MR Chamani Urban Water Journal 17 (1), 1-13, 2020 | 10 | 2020 |
| Optimal design of water networks using fuzzy genetic algorithm M Amirabdollahian, MR Chamani, K Asghari Proceedings of the Institution of Civil Engineers-Water Management 164 (7 …, 2011 | 10 | 2011 |
| Performance evaluation and siting index of the stabilization ponds based on environmental parameters: a case study in Iran M Rezvani Ghalhari, H Schönberger, B Askari Lasaki, K Asghari, ... Journal of Environmental Health Science and Engineering 19 (2), 1681-1700, 2021 | 8 | 2021 |
| A cooperative use of stochastic dynamic programming and non-linear programming for optimization of reservoir operation M Saadat, K Asghari KSCE Journal of Civil Engineering 22, 2035-2042, 2018 | 5 | 2018 |
| Numerical simulation of temporal evolution of local scour in bridge pier with nonuniform sediment MJ Aarabi, MR Chamani, AA Dehghani, K Asghari Advanced Materials Research 250, 3610-3614, 2011 | 5 | 2011 |
| Integrated river water quality and quantity management based on undesirability and cost‐effectiveness P Pashmchi, M Taheriyoun, K Asghari River Research and Applications 38 (10), 1843-1859, 2022 | 4 | 2022 |
| Optimization modeling for sustainable groundwater and conjunctive use policy development RC Peralta, AM Bennett, AW Peralta, RN Shulstad, PJ Killian, K Asghari McGraw Hill, 2006 | 4 | 2006 |
