| Simulation and forecasting of streamflows using machine learning models coupled with base flow separation H Tongal, MJ Booij Journal of hydrology 564, 266-282, 2018 | 244 | 2018 |
| Comparison of recurrent neural network, adaptive neuro-fuzzy inference system and stochastic models in Eğirdir Lake level forecasting V Güldal, H Tongal Water resources management 24, 105-128, 2010 | 101 | 2010 |
| Seasonality of low flows and dominant processes in the Rhine River H Tongal, MC Demirel, MJ Booij Stochastic Environmental Research and Risk Assessment 27, 489-503, 2013 | 46 | 2013 |
| Comparison of recurrent neural network, adaptive neuro-fuzzy inference system and stochastic models in Egirdir lake level forecasting V Guldal, H Tongal Water Resources Management 24 (1), 105-128, 2010 | 38 | 2010 |
| Impact of complexity on daily and multi-step forecasting of streamflow with chaotic, stochastic, and black-box models H Tongal, R Berndtsson Stochastic Environmental Research and Risk Assessment 31, 661-682, 2017 | 37 | 2017 |
| Phase-space reconstruction and self-exciting threshold modeling approach to forecast lake water levels H Tongal, R Berndtsson Stochastic environmental research and risk assessment 28, 955-971, 2014 | 34 | 2014 |
| Cross-entropy clustering framework for catchment classification H Tongal, B Sivakumar Journal of Hydrology 552, 433-446, 2017 | 26 | 2017 |
| Spatiotemporal analysis of precipitation and extreme indices in the Antalya Basin, Turkey H Tongal Theoretical and Applied Climatology 138 (3), 1735-1754, 2019 | 21 | 2019 |
| Quantification of parametric uncertainty of ANN models with GLUE method for different streamflow dynamics H Tongal, MJ Booij Stochastic environmental research and risk assessment 31, 993-1010, 2017 | 21 | 2017 |
| Forecasting rainfall using transfer entropy coupled directed–weighted complex networks H Tongal, B Sivakumar Atmospheric Research 255, 105531, 2021 | 20 | 2021 |
| Analysis of dam-induced cyclic patterns on river flow dynamics H Tongal, MC Demirel, H Moradkhani Hydrological Sciences Journal 62 (4), 626-641, 2017 | 20 | 2017 |
| Nonlinear forecasting of stream flows using a chaotic approach and artificial neural networks H Tongal Earth Sciences Research Journal 17 (2), 119-126, 2013 | 20 | 2013 |
| Entropy analysis for spatiotemporal variability of seasonal, low, and high streamflows H Tongal, B Sivakumar Stochastic Environmental Research and Risk Assessment 33, 303-320, 2019 | 11 | 2019 |
| Comparison of local and global approximators in multivariate chaotic forecasting of daily streamflow H Tongal Hydrological Sciences Journal 65 (7), 1129-1144, 2020 | 10 | 2020 |
| Simulated annealing coupled with a Naïve Bayes model and base flow separation for streamflow simulation in a snow dominated basin H Tongal, MJ Booij Stochastic Environmental Research and Risk Assessment, 1-24, 2022 | 9 | 2022 |
| Cluster analysis in search of wind impacts on evaporation V Güldal, H Tongal Applied Ecology and Environmental Research 6 (4), 69-76, 2008 | 9 | 2008 |
| Transfer entropy coupled directed–weighted complex network analysis of rainfall dynamics H Tongal, B Sivakumar Stochastic Environmental Research and Risk Assessment, 1-17, 2022 | 6 | 2022 |
| A Comparison of Nonlinear Stochastic Self-Exciting Threshold Autoregressive and Chaotic k-Nearest Neighbour Models in Daily Streamflow Forecasting H Tongal, MJ Booij Water resources management 30, 1515-1531, 2016 | 6 | 2016 |
| Nonlinear dynamical approach and self-exciting threshold model in forecasting daily streamflow. H Tongal | 5 | 2013 |
| Akarsu Akımlarında Volatilitenin Non-Lineer Varyans Modelleri ile İncelenmesi: Köprüçay Nehri Örneği V Güldal, H Tongal Teknik Dergi 22 (108), 5471-5485, 2011 | 4 | 2011 |
