Ali Rahimikhoob
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Cited by
Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment
A Rahimikhoob
Renewable energy 35 (9), 2131-2135, 2010
Comparative study of Hargreaves’s and artificial neural network’s methodologies in estimating reference evapotranspiration in a semiarid environment
A Rahimi Khoob
Irrigation Science 26, 253-259, 2008
Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment
A Rahimikhoob
Irrigation Science 27 (1), 35-39, 2008
Estimation of evapotranspiration based on only air temperature data using artificial neural networks for a subtropical climate in Iran
A Rahimikhoob
Theoretical and Applied Climatology 101, 83-91, 2010
A comparison between conventional and M5 model tree methods for converting pan evaporation to reference evapotranspiration for semi-arid region
A Rahimikhoob, M Asadi, M Mashal
Water resources management 27, 4815-4826, 2013
Comparison between M5 model tree and neural networks for estimating reference evapotranspiration in an arid environment
A Rahimikhoob
Water resources management 28, 657-669, 2014
Daily mean air temperature estimation from MODIS land surface temperature products based on M5 model tree
S Emamifar, A Rahimikhoob, AA Noroozi
International Journal of Climatology 33 (15), 3174-3181, 2013
An evaluation of four reference evapotranspiration models in a subtropical climate
A Rahimikhoob, MR Behbahani, J Fakheri
Water Resources Management 26, 2867-2881, 2012
Estimating daily pan evaporation using artificial neural network in a semi-arid environment
A Rahimikhoob
Theoretical and applied climatology 98, 101-105, 2009
Optimal water productivity of irrigation networks in arid and semi-arid regions
A Montazar, A Rahimikhoob
Irrigation and drainage 57, 1-13, 2008
Comparison of M5 model tree and artificial neural network’s methodologies in modelling daily reference evapotranspiration from NOAA satellite images
A Rahimikhoob
Water Resources Management 30, 3063-3075, 2016
An evaluation of common pan coefficient equations to estimate reference evapotranspiration in a subtropical climate (north of Iran)
A Rahimikhoob
Irrigation Science 27, 289-296, 2009
Assessment of Blaney-Criddle equation for calculating reference evapotranspiration with NOAA/AVHRR data
A Rahimikhoob, M Hosseinzadeh
Water resources management 28, 3365-3375, 2014
Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D
A Ranjbar, A Rahimikhoob, H Ebrahimian, M Varavipour
Irrigation science 37, 495-509, 2019
Comparative study of statistical and artificial neural network's methodologies for deriving global solar radiation from NOAA satellite images.
A Rahimikhoob, SMR Behbahani, ME Banihabib
International Journal of Climatology 33 (2), 2013
Estimating sunshine duration from other climatic data by artificial neural network for ET0 estimation in an arid environment
A Rahimikhoob
Theoretical and applied climatology 118, 1-8, 2014
Assessment of the AquaCrop model for simulating maize response to different nitrogen stresses under semi-arid climate
A Ranjbar, A Rahimikhoob, H Ebrahimian, M Varavipour
Communications in soil science and plant analysis 50 (22), 2899-2912, 2019
Genetic diversity of the Mycobacterium tuberculosis East African–Indian family in three tropical Asian countries
YY Chen, JR Chang, WF Huang, CH Hsu, HY Cheng, JR Sun, SC Kuo, ...
Journal of Microbiology, Immunology and Infection 50 (6), 886-892, 2017
Numerical evaluation of the effects of increasing ratio of cropped to uncropped width on dry drainage efficiency in salty soils
M Soltani, A Rahimikhoob, A Sotoodehnia, G Mendicino, M Akram, ...
Irrigation and drainage 67, 91-100, 2018
An Evaluation of M5 Model Tree vs. Artificial Neural Network for Estimating Mean Air Temperature as Based on Land Surface Temperature Data by MODIS-Terra Sensor
S Emamifar, A Rahimikhoob, AA Noroozi
Iranian Journal of Soil and Water Research 45 (4), 423-433, 2014
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