| A new fuzzy multicriteria decision making method and its application in diversion of water MH Alipour, A Shamsai, N Ahmady Expert Systems with Applications 37 (12), 8809-8813, 2010 | 35 | 2010 |
| Flow alteration signatures of diversion hydropower: An analysis of 32 rivers in southwestern China KM Kibler, M Alipour Ecohydrology 10 (5), e1846, 2017 | 21 | 2017 |
| A framework for streamflow prediction in the world’s most severely data-limited regions: Test of applicability and performance in a poorly-gauged region of China MH Alipour, KM Kibler Journal of Hydrology 557, 41-54, 2018 | 18 | 2018 |
| Seasonal fractal-scaling of floods in two US water resources regions MH Alipour, AT Rezakhani, A Shamsai Journal of Hydrology 540, 232-239, 2016 | 16 | 2016 |
| Risk-informed decision making framework for operating a multi-purpose hydropower reservoir during flooding and high inflow events, case study: Cheakamus River system MH Alipour Water Resources Management 29, 801-815, 2015 | 15 | 2015 |
| A new fuzzy technique to find the optimal solution in flood management MH Alipour, A Shamsai, SS Eslamian, R Ghasemizadeh Journal of Flood Engineering 2 (1), 1-9, 2011 | 14* | 2011 |
| Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions MH Alipour, KM Kibler Hydrological Sciences Journal 64 (9), 1038-1055, 2019 | 13 | 2019 |
| Flow alteration by diversion hydropower in tributaries to the Salween river: A comparative analysis of two streamflow prediction methodologies MH Alipour, KM Kibler, B Alizadeh International Journal of River Basin Management 20 (1), 33-43, 2022 | 11 | 2022 |
| Streamflow Prediction in Ungauged Basins Located Within Data-scarce Regions M Alipour | 3 | 2019 |
| Streamflow prediction in ungauged basins located within data-scarce areas using XGBoost: role of feature engineering and explainability MH Alipour International Journal of River Basin Management, 1-22, 2023 | 1 | 2023 |
| Applying the virtual structure of a risk-informed decision making framework for operating small hydropower reservoirs during high inflow events, case study: Cheakamus River system M Alipour University of British Columbia, 2012 | 1 | 2012 |
| Streamflow Prediction under Extreme Data-scarcity (SPED): Development and comprehensive test of performance M Alipour, KM Kibler AGU Fall Meeting Abstracts 2018, H32F-08, 2018 | | 2018 |
| A multi-objective framework to predict flows of ungauged rivers within regions of sparse hydrometeorologic observation M Alipour, KM Kibler AGU Fall Meeting Abstracts 2017, H21H-1579, 2017 | | 2017 |
| Design of Environmental Flows Below Diversion Hydropower Dams: Is There Benefit to Advanced Streamflow Prediction in Sparse Data Landscapes? KM Kibler, M Alipour AGU Fall Meeting Abstracts 2017, NH33B-0264, 2017 | | 2017 |
| HyMOD MATLAB Code M Alipour | | 2017 |
| Detecting Human Hydrologic Alteration from Diversion Hydropower Requires Universal Flow Prediction Tools: A Proposed Framework for Flow Prediction in Poorly-gauged, Regulated … M Alipour, KM Kibler 2016 AGU Fall Meeting, 2016 | | 2016 |
| ArcPy Code M Alipour | | 2015 |
| Opportunities for Process-Based Management of Rivers Below Water Diversions: Exploring and Exploiting Coupled Alteration of Flow and Sediment Regimes K Kibler, MH Alipour AGU Fall Meeting, 2015 | | 2015 |
| Flood Risk Management for Small Hydropower Reservoirs MH Alipour, Z Shawwash Optimization Days, 2012 | | 2012 |
| Stochastic Dual Dynamic Programming on Reservoir Operation with Uncertainty Z Guan, Z Shawwash, A Abdalla, A Ayad, MH Alipour Optimization Days, 2012 | | 2012 |
Kelly KiblerUniversity of Central FloridaDirección de correo verificada de ucf.edu
