| ANN hybrid model versus ARIMA and ARIMAX models of runoff coefficient AO Pektaş, HK Cigizoglu Journal of hydrology 500, 21-36, 2013 | 84 | 2013 |
| Smoothed minima baseflow separation tool for perennial and intermittent streams H Aksoy, NE Unal, AO Pektas Hydrological Processes: An International Journal 22 (22), 4467-4476, 2008 | 50 | 2008 |
| How to shape attitudes toward STEM careers: The search for the most impactful extracurricular clubs DADV Fethiye Ozis, Ali Osman Pektas, Mustafa Akca Journal of Pre-College Engineering Education Research (J-PEER) 8 (1), 3, 2018 | 33 | 2018 |
| Investigating the extrapolation performance of neural network models in suspended sediment data AO Pektas, HK Cigizoglu Hydrological Sciences Journal 62 (10), 1694-1703, 2017 | 33 | 2017 |
| Prediction of bed load via suspended sediment load using soft computing methods AO Pektaş, E Doğan G eofizika 32 (1), 27–46-27–46, 2015 | 28 | 2015 |
| Creating a non-linear total sediment load formula using polynomial best subset regression model D Okcu, AO Pektas, A Uyumaz Journal of Hydrology 539, 662-673, 2016 | 20 | 2016 |
| Long-range forecasting of suspended sediment AO Pektas, HK Cigizoglu Hydrological sciences journal 62 (14), 2415-2425, 2017 | 15 | 2017 |
| Rock slope damage level prediction by using multivariate adaptive regression splines (MARS) T Erdik, AO Pektas Neural Computing and Applications, 1-10, 2017 | 14 | 2017 |
| Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN AO Pektas, T Erdik KSCE Journal of Civil Engineering 18, 1868-1876, 2014 | 14 | 2014 |
| Determining the essential parameters of bed load and suspended sediment load AO Pektaş International Journal of Global Warming 8 (3), 335-359, 2015 | 12 | 2015 |
| Security of energy supply in Japan: a key strategy and solutions L Erdal, AO Pektaş, O Ozkan, F Özkan International Journal of Global Warming 7 (1), 128-159, 2015 | 10 | 2015 |
| Heavy metal concentrations of selected public parks of Istanbul City G Demir, HK Ozcan, H Ozdemir, AO Pektas, I Oruc, M Buyukyildiz MATEC Web of Conferences 64, 02001, 2016 | 8 | 2016 |
| Mean normalized force computation for different types of obstacles due to dam break using statistical techniques J Duricic, T Erdik, AO Pektaş, PH Van Gelder Water 5 (2), 560-577, 2013 | 6 | 2013 |
| The energy security of Japan: Causality analyses F Ozkan, L Erdal, AO Pektas, O Ozkan Energy Sources, Part B: Economics, Planning, and Policy 11 (11), 1006-1013, 2016 | 5 | 2016 |
| Computational modeling with sensitivity analysis: case study velocity distribution of natural rivers AO Pektas Neural Computing and Applications 26, 1653-1667, 2015 | 5 | 2015 |
| Büyük havzalarda akış katsayısının hesaplanması AO Pektaş Fen Bilimleri Enstitüsü, 2012 | 4 | 2012 |
| Kuruyan akarsularda taban akışının ayrılması AO Pektaş Fen Bilimleri Enstitüsü, 2007 | 3 | 2007 |
| How to Shape Attitudes toward STEM Careers: The Search for the most Impactful Extracurricular Clubs (RTP) F Ozis, AO Pektas, M Akca 2017 ASEE Annual Conference & Exposition, 2017 | 2 | 2017 |
| Prognoza nanosa putem suspendiranog nanosa pomoću metoda mekog računarstva AO Pektaş, E Doğan Geofizika 32 (1), 27-46, 2015 | 1 | 2015 |
| Deep Neural networks versus ANN on evaporation Prediction AO Pektas, M Akca, U Review Journal of Hydrology 1 (1), 1-39, 2022 | | 2022 |
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