| Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel–Bulkley drilling fluids in oil drilling R Rooki Measurement 85, 184-191, 2016 | 87 | 2016 |
| Prediction of heavy metals in acid mine drainage using artificial neural network from the Shur River of the Sarcheshmeh porphyry copper mine, Southeast Iran R Rooki, F Doulati Ardejani, A Aryafar, A Bani Asadi Environmental earth sciences 64, 1303-1316, 2011 | 64 | 2011 |
| Heavy metal pollution assessment using support vector machine in the Shur River, Sarcheshmeh copper mine, Iran A Aryafar, R Gholami, R Rooki, F Doulati Ardejani Environmental earth sciences 67, 1191-1199, 2012 | 59 | 2012 |
| Simulation of cuttings transport with foam in deviated wellbores using computational fluid dynamics R Rooki, F Doulati Ardejani, A Moradzadeh, M Norouzi Journal of Petroleum Exploration and Production Technology 4, 263-273, 2014 | 57 | 2014 |
| Optimal determination of rheological parameters for herschel-bulkley drilling fluids using genetic algorithms (GAs) R Rooki, FD Ardejani, A Moradzadeh, H Mirzaei, V Kelessidis, ... Korea-Australia rheology journal 24, 163-170, 2012 | 51 | 2012 |
| Prediction of terminal velocity of solid spheres falling through Newtonian and non-Newtonian pseudoplastic power law fluid using artificial neural network R Rooki, FD Ardejani, A Moradzadeh, VC Kelessidis, M Nourozi International Journal of Mineral Processing 110, 53-61, 2012 | 50 | 2012 |
| Evolving genetic programming and other AI-based models for estimating groundwater quality parameters of the Khezri plain, Eastern Iran A Aryafar, V Khosravi, H Zarepourfard, R Rooki Environmental earth sciences 78, 1-13, 2019 | 48 | 2019 |
| CFD simulation of rheological model effect on cuttings transport R Rooki, FD Ardejani, A Moradzadeh, M Norouzi Journal of Dispersion Science and Technology 36 (3), 402-410, 2015 | 43 | 2015 |
| Hole cleaning prediction in foam drilling using artificial neural network and multiple linear regression R Rooki, FD Ardejani, A Moradzadeh Geomaterials 2014, 2014 | 40 | 2014 |
| Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis G Sadegheslam, R Mikaeil, R Rooki, S Ghadernejad, M Ataei Geosystem engineering 16 (4), 275-285, 2013 | 37 | 2013 |
| Prediction of rare earth elements in neutral alkaline mine drainage from Razi coal mine, Golestan Province, northeast Iran, using general regression neural network F Doulati Ardejanii, R Rooki, B Jodieri Shokri, T Eslam Kish, A Aryafar, ... Journal of Environmental Engineering 139 (6), 896-907, 2013 | 37 | 2013 |
| Estimation of pressure loss of Herschel–Bulkley drilling fluids during horizontal annulus using artificial neural network R Rooki Journal of dispersion science and technology 36 (2), 161-169, 2015 | 28 | 2015 |
| Cuttings transport modeling in underbalanced oil drilling operation using radial basis neural network R Rooki, M Rakhshkhorshid Egyptian journal of petroleum 26 (2), 541-546, 2017 | 23 | 2017 |
| K-means clustering and general regression neural network methods for copper mineralization probability in Chahar-Farsakh, Iran A Shirazy, A Hezarkhani, A Shirazi, S Khakmardan, R Rooki Türkiye Jeoloji Bülteni 65 (1), 79-92, 2022 | 14 | 2022 |
| Modeling and prediction of wear rate of grinding media in mineral processing industry using multiple kernel support vector machine A Azizi, R Rooki, N Mollayi SN Applied Sciences 2 (9), 1469, 2020 | 12 | 2020 |
| Rheological studies and optimization of Herschel–Bulkley parameters of an environmentally friendly drilling fluid using genetic algorithm H Ouaer, M Gareche, R Rooki Rheologica Acta 57, 693-704, 2018 | 10 | 2018 |
| Oil reservoir permeability estimation from well logging data using statistical methods (A case study: South Pars Oil Reservoir) A Esmailzadeh, S Ahmadi, R Rooki, R Mikaeil Civil Engineering Journal 3 (10), 831-840, 2017 | 6 | 2017 |
| Estimating of gold recovery by using back propagation neural network and multiple linear regression methods in cyanide leaching process A Azizi, SZ Shafaei, R Rooki, A Hasanzadeh, M Paymard MSAIJ 8 (11), 443-453, 2012 | 6 | 2012 |
| Investigating the groundwater quality in aquifer of Gonabad basin, Khorasan Razavi, using multivariate statistical methods and artificial intelligence R Rooki, A Aryafar, J Adelinasab Journal of Mineral Resources Engineering 2 (1), 49-61, 2017 | 5 | 2017 |
| WEAR RATE PREDICTION OF GRINDING MEDIA USING BPNN AND MLR MODELS IN GRINDING OF SULPHIDE ORES. A Azizi, SZ Shafaei, R Rooki Iranian Journal of Materials Science & Engineering 13 (2), 2016 | 4 | 2016 |
Faramarz Doulati ArdejaniProfessor of Environmental Hydrogeology, University of TehranVerified email at ut.ac.ir
