| Investigation of spatial and temporal variability of precipitation in Iran over the last half century K Khalili, MN Tahoudi, R Mirabbasi, F Ahmadi Stochastic environmental research and risk assessment 30, 1205-1221, 2016 | 185 | 2016 |
| Spatiotemporal trend and abrupt change analysis of temperature in Iran F Ahmadi, M Nazeri Tahroudi, R Mirabbasi, K Khalili, D Jhajharia Meteorological Applications, 2017 | 119 | 2017 |
| Spatio-temporal analysis of daily, seasonal and annual precipitation concentration in Jharkhand state, India R Zamani, R Mirabbasi, M Nazeri, S Gajbhiye, F Ahmadi Stochastic Environmental Research and Risk Assessment, 1-13, 2017 | 97 | 2017 |
| Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation F Ahmadi, S Mehdizadeh, B Mohammadi, QB Pham, TNC Doan, ND Vo Agricultural Water Management 244, 106622, 2021 | 86 | 2021 |
| Developing novel robust models to improve the accuracy of daily streamflow modeling B Mohammadi, F Ahmadi, S Mehdizadeh, Y Guan, QB Pham, NTT Linh, ... Water Resources Management 34, 3387-3409, 2020 | 83 | 2020 |
| Drought modeling using classic time series and hybrid wavelet-gene expression programming models S Mehdizadeh, F Ahmadi, AD Mehr, MJS Safari Journal of Hydrology 587, 125017, 2020 | 73 | 2020 |
| Development of bio-inspired-and wavelet-based hybrid models for reconnaissance drought index modeling F Ahmadi, S Mehdizadeh, B Mohammadi Water Resources Management 35 (12), 4127-4147, 2021 | 53 | 2021 |
| Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques S Abdollahi, J Jalil Raeisi, M Khalilianpour, F Ahmadi, O Kisi Water Resources Management, 1-20, 2017 | 51 | 2017 |
| Developing hybrid time series and artificial intelligence models for estimating air temperatures B Mohammadi, S Mehdizadeh, F Ahmadi, NTT Lien, NTT Linh, QB Pham Stochastic Environmental Research and Risk Assessment 35, 1189-1204, 2021 | 48 | 2021 |
| Comparison of parametric and non-parametric methods for trend identification in groundwater levels in Sirjan plain aquifer, Iran R Mirabbasi, F Ahmadi, D Jhajharia Hydrology Research 51 (6), 1455-1477, 2020 | 46 | 2020 |
| Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network R Ghasemlounia, A Gharehbaghi, F Ahmadi, ... Computers and Electronics in Agriculture 191, 106568, 2021 | 45 | 2021 |
| Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks A Gharehbaghi, R Ghasemlounia, F Ahmadi, M Albaji Journal of Hydrology 612, 128262, 2022 | 42 | 2022 |
| Investigating the trend and time of precipitation and river flow rate changes in Lake Urmia basin, Iran M Nazeri Tahroudi, Y Ramezani, F Ahmadi Arabian Journal of Geosciences 12, 1-13, 2019 | 40 | 2019 |
| Analyzing the droughts in Iran and its eastern neighboring countries using copula functions Y Ramezani, MN Tahroudi, F Ahmadi Idojaras 123 (4), 435-453, 2019 | 31 | 2019 |
| Development and application of a new index for analyzing temperature concentration for Iran’s climate M Nazeri Tahroudi, K Khalili, F Ahmadi, R Mirabbasi, D Jhajharia International Journal of Environmental Science and Technology, 2018 | 31* | 2018 |
| Modelling daily soil temperature at different depths via the classical and hybrid models S Mehdizadeh, F Ahmadi, A Kozekalani Sales Meteorological Applications 27 (4), e1941, 2020 | 30 | 2020 |
| Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis F Ahmadi, S Mehdizadeh, V Nourani Stochastic Environmental Research and Risk Assessment 36 (9), 2753-2768, 2022 | 25 | 2022 |
| Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran F Ahmadi, M Nazeri Tahroudi, R Mirabbasi, R Kumar Theoretical and Applied Climatology 149 (1), 743-760, 2022 | 24 | 2022 |
| Streamflow prediction using a hybrid methodology based on variational mode decomposition (VMD) and machine learning approaches F Ahmadi, M Tohidi, M Sadrianzade Applied Water Science 13 (6), 135, 2023 | 23 | 2023 |
| Bivariate frequency analysis of low flow using copula functions (case study: Dez River Basin, Iran) F Ahmadi, F Radmaneh, MR Sharifi, R Mirabbasi Environmental Earth Sciences 77, 1-16, 2018 | 21 | 2018 |
Rasoul MirabbasiAssociate Professor, Department of Water Engineering, Shahrekord University, Shahrekord, IranVahvistettu sähköpostiosoite verkkotunnuksessa sku.ac.ir
