| Application of artificial neural networks to predict the COVID-19 outbreak HR Niazkar, M Niazkar Global Health Research and Policy 5 (1), 1-11, 2020 | 120 | 2020 |
| COVID-19 Outbreak: Application of Multi-gene Genetic Programming to Country-based Prediction Models M Niazkar, HR Niazkar Electronic Journal of General Medicine 17 (5), 2020 | 70 | 2020 |
| Assessment of modified honey bee mating optimization for parameter estimation of nonlinear Muskingum models M Niazkar, SH Afzali Journal of Hydrologic Engineering 20 (4), 04014055, 2015 | 69 | 2015 |
| Analysis of water distribution networks using MATLAB and Excel spreadsheet: h‐based methods M Niazkar, SH Afzali Computer Applications in Engineering Education 25 (1), 129-141, 2017 | 60 | 2017 |
| Application of new hybrid optimization technique for parameter estimation of new improved version of Muskingum model M Niazkar, SH Afzali Water resources management 30, 4713-4730, 2016 | 54 | 2016 |
| Streamline performance of Excel in stepwise implementation of numerical solutions M Niazkar, SH Afzali Computer Applications in Engineering Education 24 (4), 555-566, 2016 | 41 | 2016 |
| Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey T Hırca, G Eryılmaz Türkkan, M Niazkar Theoretical and Applied Climatology 147 (1), 651-667, 2022 | 40 | 2022 |
| Parameter estimation of an improved nonlinear Muskingum model using a new hybrid method M Niazkar, SH Afzali Hydrology Research 48 (5), 1253-1267, 2017 | 38 | 2017 |
| Optimum design of lined channel sections M Niazkar, SH Afzali Water Resources Management 29, 1921-1932, 2015 | 37 | 2015 |
| New nonlinear variable-parameter Muskingum models M Niazkar, SH Afzali KSCE Journal of Civil Engineering 21, 2958-2967, 2017 | 35 | 2017 |
| Assessment of artificial intelligence models for developing single-value and loop rating curves M Niazkar, M Zakwan Complexity 2021, 1-21, 2021 | 32 | 2021 |
| Assessment of artificial intelligence models for calculating optimum properties of lined channels M Niazkar Journal of Hydroinformatics 22 (5), 1410-1423, 2020 | 32 | 2020 |
| Novel grain and form roughness estimator scheme incorporating artificial intelligence models M Niazkar, N Talebbeydokhti, SH Afzali Water resources management 33, 757-773, 2019 | 32 | 2019 |
| Application of Excel spreadsheet in engineering education M Niazkar, SH Afzali First International & Fourth National Conference on Engineering Education, 2015 | 32 | 2015 |
| Assessment of three mathematical prediction models for forecasting the COVID-19 outbreak in Iran and Turkey M Niazkar, GE Türkkan, HR Niazkar, YA Türkkan Computational and mathematical methods in medicine 2020, 2020 | 30 | 2020 |
| Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations M Niazkar KSCE Journal of Civil Engineering 23 (10), 4311-4326, 2019 | 30 | 2019 |
| A comparative analysis of data-driven empirical and artificial intelligence models for estimating infiltration rates M Zakwan, M Niazkar Complexity 2021, 1-13, 2021 | 23 | 2021 |
| One dimensional hydraulic flow routing incorporating a variable grain roughness coefficient M Niazkar, N Talebbeydokhti, SH Afzali Water Resources Management 33, 4599-4620, 2019 | 22 | 2019 |
| Developing a new accuracy-improved model for estimating scour depth around piers using a hybrid method M Niazkar, SH Afzali Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2019 | 22 | 2019 |
| Application of new hybrid method in developing a new semicircular-weir discharge model M Niazkar, SH Afzali Alexandria engineering journal 57 (3), 1741-1747, 2018 | 21 | 2018 |
