| Artificial neural networks versus gene expression programming forestimating reference evapotranspiration in arid climate MA Yassin, AA Alazba, MA Mattar Agricultural Water Management 163 (1), 110–124, 2016 | 179 | 2016 |
| Using gene expression programming in monthly reference evapotranspiration modeling: a case study in Egypt MA Mattar Agricultural Water Management 198, 28-38, 2018 | 97 | 2018 |
| Predictive model for assessing and optimizing solar still performance using artificial neural network under hyper arid environment MA Mattar, AF Mashaly, AA Alazba, AM Al-Awaadh Solar Energy 118, 41–58, 2015 | 89 | 2015 |
| Field Assessment of Friction Head Loss and Friction Correction Factor Equations AA Alazba, MA Mattar, MN ElNesr, MT Amin Journal of Irrigation and Drainage Engineering 138 (2), 166-176, 2012 | 62 | 2012 |
| Forecasting furrow irrigation infiltration using artificial neural networks MA Mattar, AA Alazba, TKZ El-Abedin Agricultural Water Management 148 (31 January), 63–71, 2015 | 54 | 2015 |
| Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques HM Al-Ghobari, MS El-Marazky, AZ Dewidar, MA Mattar Agricultural Water Management 195, 211-221, 2018 | 49 | 2018 |
| Artificial neural networks for estimating the hydraulic performance of labyrinth-channel emitters MA Mattar, AI Alamoud Computers and Electronics in Agriculture 114, 189–201, 2015 | 42 | 2015 |
| Comparative effects of two water-saving irrigation techniques on soil water status, yield, and water use efficiency in potato TKZ El-Abedin, MA Mattar, AA Alazba, HM Al-Ghobari Scientia Horticulturae 225, 525-532, 2017 | 40 | 2017 |
| GEP and MLR approaches for the prediction of reference evapotranspiration MA Mattar, AA Alazba Neural Computing and Applications 31 (10), 5843–5855, 2019 | 32 | 2019 |
| Soil water status and growth of tomato with partial root-zone drying and deficit drip irrigation techniques MA Mattar, TKZ El-Abedin, AA Alazba, HM Al-Ghobari Irrigation Science 38 (2), 163–176, 2020 | 31 | 2020 |
| Effects of different surface and subsurface drip irrigation levels on growth traits, tuber yield, and irrigation water use efficiency of potato crop MA Mattar, TK Zin El-Abedin, HM Al-Ghobari, AA Alazba, HO Elansary Irrigation Science 39, 517-533, 2021 | 29 | 2021 |
| A new predictive model for furrow irrigation infiltration using gene expression programming MA Yassin, AA Alazba, MA Mattar Computers and Electronics in Agriculture 122, 168-175, 2016 | 28 | 2016 |
| Impact of water temperature and structural parameters on the hydraulic labyrinth-channel emitter performance AI Al-Amoud, MA Mattar, MI Ateia Spanish Journal of Agricultural Research 12 (3), 580-593, 2014 | 28 | 2014 |
| Area Determination of Solar Desalination System for Irrigating Crops in Greenhouses using Different Quality Feed Water AF Mashaly, AA Alazba, AM Al-Awaadh, MA Mattar Agricultural Water Management 154 (31 May), 1–10, 2015 | 25 | 2015 |
| Evaluating and calibrating reference evapotranspiration models using water balance under hyper-arid environment MA Mattar, AA Alazba, B Alblewi, B Gharabaghi, MA Yassin Water Resources Management 30, 3745-3767, 2016 | 23 | 2016 |
| Gene expression programming approach for modeling the hydraulic performance of labyrinth-channel emitters MA Mattar, AI Alamoud Computers and electronics in agriculture 142, 450-460, 2017 | 21 | 2017 |
| Water-saving irrigation strategies in potato fields: Effects on physiological characteristics and water use in arid region TK Zin El-Abedin, MA Mattar, HM Al-Ghobari, AA Alazba Agronomy 9 (4), 172, 2019 | 19 | 2019 |
| Comparison Between Gene Expression Programming and Traditional Models for Estimating Evapotranspiration under Hyper Arid Conditions MA Yassin, AA Alazba, MA Mattar Water Resources 43 (2), 412–427, 2016 | 16 | 2016 |
| Hydraulic performance of labyrinth-channel emitters: experimental study, ANN, and GEP modeling MA Mattar, AI Alamoud, AA Al-Othman, HO Elansary, AHH Farah Irrigation Science 38 (1), 1-16, 2020 | 15 | 2020 |
| Modeling daily evapotranspiration in hyper-arid environment using gene expression programming AA Alazba, MA Yassin, MA Mattar Arabian Journal of Geosciences 9, 1-16, 2016 | 13 | 2016 |
Prof AlazbaHydrology & Hydraulics-Water Quantity & Quality在 ksu.edu.sa 的电子邮件经过验证
