S. Emamgholizadeh

Процитировано

	Все	Начиная с 2020 г.
Статистика цитирования	2176	1498
h-индекс	26	21
i10-индекс	40	30

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Hadi GhorbaniAssociate Professor of Soil and Environmental Pollution, Shahrood University of TechnologyПодтвержден адрес электронной почты в домене shahroodut.ac.ir
Eisa MaroufpoorDepartment of Water Science and Engineering, Faculty of Agriculture, University of KurdistanПодтвержден адрес электронной почты в домене uok.ac.ir
Hamed KashiChristian-Albrechts-University KielПодтвержден адрес электронной почты в домене soils.uni-kiel.de
Amir Hamzeh HaghiabiProfessor, Water Engineering Department, Lorestan UniversityПодтвержден адрес электронной почты в домене lu.ac.ir
Sayed M. BateniUniversity of HawaiiПодтвержден адрес электронной почты в домене hawaii.edu
Manoochehr Fathi MoghadamProfessor of Water Resources, Shahid Chamran University of AhvazПодтвержден адрес электронной почты в домене scu.ac.ir
Davood ShahsavaniAssociate Professor in Statistics, Shahrood University of technologyПодтвержден адрес электронной почты в домене shahroodut.ac.ir
Mehdi GhomeshiProfessor of Water Sciences Engineering, Shahid Chamran University of Ahvaz, Ahvaz, IranПодтвержден адрес электронной почты в домене scu.ac.ir
Nadergholi EbrahimiPHDПодтвержден адрес электронной почты в домене areo.ir
Gholamreza NaserAssociate Professor, Shippensburg University of PennsylvaniaПодтвержден адрес электронной почты в домене ship.edu
Dong-Sheng JengProfessor, Griffith School of Engineering, Griffith UniversityПодтвержден адрес электронной почты в домене griffith.edu.au
Seyed Ali Asghar hashemiAssistant Prof., Semnan Agriculture and Natural Resources Research and Education centerПодтвержден адрес электронной почты в домене areo.ir
Prof. Hamid HassanpourProfessor in Computer Engineering, Shahrood University of Technology, IranПодтвержден адрес электронной почты в домене shahroodut.ac.ir
KANTOUSH Sameh A.Full Professor, Kyoto University, JapanПодтвержден адрес электронной почты в домене kyoto-u.ac.jp

S. Emamgholizadeh

Prof. of Water Engineering,Shahrood University of Technology

Подтвержден адрес электронной почты в домене shahroodut.ac.ir - Главная страница

Hydraulic Engineering Reservoir Sedimentation River Engineering


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) S Emamgholizadeh, K Moslemi, G Karami Water Resources Management 28 (Issue 15 (2014)), Page 5433-54, 2014	225	2014
Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models S Emamgholizadeh, H Kashi, I Marofpoor, E Zalaghi International Journal of Environmental Science and Technology 11, 645-656, 2014	209	2014
Estimation of soil cation exchange capacity using Genetic Expression Programming (GEP) and Multivariate Adaptive Regression Splines (MARS) S Emamgolizadeh, SM Bateni, D Shahsavani, T Ashrafi Journal of Hydrology 529 (Part 3), 1590–1600, 2015	165	2015
Seed yield prediction of sesame using artificial neural network S Emamgholizadeh, M Parsaeian, M Baradaran European Journal of Agronomy 68, 89-96, 2015	122	2015
Prediction of discharge coefficient of triangular labyrinth weirs using Adaptive Neuro Fuzzy Inference System AH Haghiabi, A Parsaie, S Ememgholizadeh Alexandria Engineering Journal, 2017	103	2017
Prediction of water quality parameters using evolutionary computing-based formulations M Najafzadeh, A Ghaemi, S Emamgholizadeh International Journal of Environmental Science and Technology 16, 6377-6396, 2019	94	2019
Estimation of soil infiltration and cation exchange capacity based on multiple regression, ANN (RBF, MLP), and ANFIS models H Kashi, S Emamgholizadeh, H Ghorbani Communications in soil science and plant analysis 45 (9), 1195-1213, 2014	78	2014
Simulation of Titicaca lake water level fluctuations using hybrid machine learning technique integrated with grey wolf optimizer algorithm B Mohammadi, Y Guan, P Aghelpour, S Emamgholizadeh, R Pillco Zolá, ... Water 12 (11), 3015, 2020	68	2020
Estimation of soil cation exchange capacity using multiple regression, artificial neural networks, and adaptive neuro-fuzzy inference system models in Golestan Province, Iran H Ghorbani, H Kashi, N Hafezi Moghadas, S Emamgholizadeh Communications in Soil Science and Plant Analysis 46 (6), 763-780, 2015	64	2015
Investigation and evaluation of the pressure flushing through storage reservoir S Emamgholizadeh, M Bina, M Fathi-Moghadam, M Ghomeyshi ARPN Journal of Engineering and Applied Sciences 1 (4), 7-16, 2006	62	2006
Physical modelling of pressure flushing for desilting of non-cohesive sediment M Fathi-Moghadam, S Emamgholizadeh, M Bina, M Ghomeshi Journal of Hydraulic Research 48 (4), 509-514, 2010	51	2010
A comparison of artificial intelligence models for the estimation of daily suspended sediment load: a case study on the Telar and Kasilian rivers in Iran S Emamgholizadeh, RK Demneh Water Supply 19 (1), 165-178, 2019	50	2019
Physical and numerical modeling of submerged vegetation roughness in rivers and flood plains M Fathi-Moghadam, M Kashefipour, N Ebrahimi, S Emamgholizadeh Journal of Hydrologic Engineering 16 (11), 858-864, 2011	50	2011
Pressure flushing of cohesive sediment in large dam reservoirs S Emamgholizadeh, M Fathi-Moghdam Journal of hydrologic engineering 19 (4), 674-681, 2014	45	2014
New hybrid nature-based algorithm to integration support vector machine for prediction of soil cation exchange capacity S Emamgholizadeh, B Mohammadi Soft computing 25 (21), 13451-13464, 2021	44	2021
Estimation of soil dispersivity using soft computing approaches S Emamgholizadeh, K Bahman, S Bateni, H Ghorbani, I Marofpoor, ... Neural Computing and Applications 28 (10.1007/s00521-016-2320-x), 207-216, 2017	44	2017
Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models A Bazoobandi, S Emamgholizadeh, H Ghorbani European Journal of Environmental and Civil Engineering 26 (3), 933-951, 2022	42	2022
Is stress management related to workforce productivity? MH ZAREI, HR Razavi, S Emamgholizadeh IRANIAN JOURNAL OF MANAGEMENT STUDIES 7 (1), 1-19, 2014	37	2014
Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data‐Driven Methods E Maroufpoor, H Sanikhani, S Emamgholizadeh, Ö Kişi Irrigation and Drainage 67 (2), 222-232, 2018	36	2018
Prediction of discharge coefficient of combined weir-gate using ANN, ANFIS and SVM A Parsaie, AH Haghiabi, S Emamgholizadeh, HM Azamathulla International Journal of Hydrology Science and Technology 9 (4), 412-430, 2019	35	2019

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