| River flow estimation using adaptive neuro fuzzy inference system M Firat, M Güngör Mathematics and Computers in Simulation 75 (3-4), 87-96, 2007 | 246 | 2007 |
| Adaptive neuro-fuzzy inference system for drought forecasting UG Bacanli, M Firat, F Dikbas Stochastic Environmental Research and Risk Assessment 23, 1143-1154, 2009 | 206 | 2009 |
| Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers M Firat, M Gungor Advances in Engineering Software 40 (8), 731-737, 2009 | 198 | 2009 |
| Evaluation of artificial neural network techniques for municipal water consumption modeling M Firat, MA Yurdusev, ME Turan Water resources management 23, 617-632, 2009 | 154 | 2009 |
| Comparative analysis of neural network techniques for predicting water consumption time series M Firat, ME Turan, MA Yurdusev Journal of hydrology 384 (1-2), 46-51, 2010 | 139 | 2010 |
| Hydrological time‐series modelling using an adaptive neuro‐fuzzy inference system M Firat, M Güngör Hydrological Processes: An International Journal 22 (13), 2122-2132, 2008 | 124 | 2008 |
| Comparative analysis of fuzzy inference systems for water consumption time series prediction M Firat, ME Turan, MA Yurdusev Journal of hydrology 374 (3-4), 235-241, 2009 | 120 | 2009 |
| Comparison of artificial intelligence techniques for river flow forecasting M Firat Hydrology and Earth System Sciences 12 (1), 123-139, 2008 | 113 | 2008 |
| Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey MA Yurdusev, M Firat Journal of hydrology 365 (3-4), 225-234, 2009 | 103 | 2009 |
| Estimation of failure rate in water distribution network using fuzzy clustering and LS-SVM methods M Aydogdu, M Firat Water resources management 29, 1575-1590, 2015 | 100 | 2015 |
| Estimating discharge coefficient of semi-elliptical side weir using ANFIS OF Dursun, N Kaya, M Firat Journal of hydrology 426, 55-62, 2012 | 89 | 2012 |
| Classification of precipitation series using fuzzy cluster method F Dikbas, M Firat, AC Koc, M Gungor International journal of climatology 32 (10), 1596-1603, 2012 | 67 | 2012 |
| Monthly total sediment forecasting using adaptive neuro fuzzy inference system M Firat, M Güngör Stochastic Environmental Research and Risk Assessment 24, 259-270, 2010 | 64 | 2010 |
| Missing data analysis and homogeneity test for Turkish precipitation series M Firat, F Dikbas, AC Koç, M Gungor Sadhana 35, 707-720, 2010 | 53 | 2010 |
| Analysis of temperature series: estimation of missing data and homogeneity test M Firat, F Dikbas, AC Koc, M Gungor Meteorological Applications 19 (4), 397-406, 2012 | 44 | 2012 |
| Analyzing the effect of the unreported leakages in service connections of water distribution networks on non-revenue water F Boztaş, Ö Özdemir, FM Durmuşçelebi, M Firat International Journal of Environmental Science and Technology 16, 4393-4406, 2019 | 43 | 2019 |
| Evaluation of technical performance of pipes in water distribution systems by analytic hierarchy process Y Kilinç, Ö Özdemir, C Orhan, M Firat Sustainable Cities and Society 42, 13-21, 2018 | 43 | 2018 |
| Monthly river flow forecasting by an adaptive neuro‐fuzzy inference system M Firat, ME Turan Water and environment journal 24 (2), 116-125, 2010 | 38 | 2010 |
| Defining homogeneous regions for streamflow processes in Turkey using a K-means clustering method F Dikbas, M Firat, AC Koc, M Gungor Arabian Journal for Science and Engineering 38, 1313-1319, 2013 | 33 | 2013 |
| Increasing performance of water distribution network by using pressure management and database integration M Güngör, U Yarar, Ü Cantürk, M Fırat Journal of Pipeline Systems Engineering and Practice 10 (2), 04019003, 2019 | 28 | 2019 |
özgür özdemirAdıyaman ÜniversitesiVerified email at adiyaman.edu.tr
