| SVR-based prediction of evaporation combined with chaotic approach Ö Baydaroğlu, K Koçak Journal of hydrology 508, 356-363, 2014 | 89 | 2014 |
| River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach Ö Baydaroğlu, K Koçak, K Duran Meteorology and Atmospheric Physics 130, 349-359, 2018 | 39 | 2018 |
| A Comprehensive Review of Ontologies in the Hydrology Towards Guiding Next Generation Artificial Intelligence Applications Ö Baydaroğlu, S Yeşilköy, Y Sermet, I Demir Journal of Environmental Informatics 42, 90-107, 2023 | 29 | 2023 |
| State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas SMS Islam, S Yeşilköy, Ö Baydaroğlu, E Yıldırım, I Demir International Journal of River Basin Management, 1-18, 2024 | 18 | 2024 |
| A contemporary systematic review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication S Yeşilköy, Ö Baydaroğlu, N Singh, Y Sermet, I Demir Environmental Research Communications, 2024 | 16 | 2024 |
| Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö Baydaroğlu, I Demir Journal of Hydroinformatics, jh2024235, 2024 | 13 | 2024 |
| Spatiotemporal analysis of wind speed via the Bayesian maximum entropy approach Ö Baydaroğlu, K Koçak Environmental earth sciences 78 (1), 17, 2019 | 11 | 2019 |
| Is snow drought a messenger for the upcoming severe drought period? A case study in the upper Mississippi river basin S Yeşilköy, Ö Baydaroğlu, I Demir Atmospheric research 309, 107553, 2024 | 10 | 2024 |
| Prediction of commonly used drought indices using support vector regression powered by chaotic approach Ö Baydaroğlu Yeşilköy, K Koçak, L Şaylan Italian Journal of Agrometeorology, 65-76, 2021 | 10* | 2021 |
| Testing protocols for smoothing datasets of hydraulic variables acquired during unsteady flows Ö Baydaroğlu, M Muste, AB Cikmaz, K Kim, E Meselhe, I Demir Hydrological Sciences Journal 69 (13), 1813-1830, 2024 | 3* | 2024 |
| Spatiotemporal Shift and Heterogeneity of Rain-on-Snow Events S Yeşilköy, Ö Baydaroğlu EarthArXiv, 2024 | 3 | 2024 |
| Predicting Harmful Algal Blooms Using Explainable Deep Learning Models: A Comparative Study BZ Demiray, O Mermer, Ö Baydaroğlu, I Demir EarthArXiv, 2024 | 2 | 2024 |
| Modeling of harmful algal bloom dynamics and integrated web framework for inland waters in Iowa Ö Baydaroğlu, S Yeşilköy, A Dave, M Linderman, I Demir EarthArXiv, 2024 | 2 | 2024 |
| A Phenology-Dependent Analysis for Identifying Key Drought Indicators for Crop Yield based on Causal Inference and Information Theory Ö Baydaroğlu, S Yeşilköy, I Demir EarthArXiv, 2024 | 1 | 2024 |
| Reconstruction of Evaporation Dynamics from Time Series Ö BAYDAROĞLU, K KOÇAK Chaotic Modelling and Simulation (CMSIM) 3, 271-279, 2013 | 1 | 2013 |
| Harmful algal bloom prediction using empirical dynamic modeling Ö Baydaroğlu Science of The Total Environment 959, 178185, 2025 | | 2025 |
| Enhancing Rainfall Nowcasting Through Data Augmentation Ö Baydaroğlu, I Demir AGU Fall Meeting Abstracts 2024, H06-03, 2024 | | 2024 |
| Unveiling Harmful Algal Bloom Dynamics with Sparse Identification of Nonlinear Dynamics and the Model-based Web Platform for Lakes Ö Baydaroğlu, S Yeşilköy, M Linderman, I Demir EMS2024, 2024 | | 2024 |
| A Causality Perspective on the Impact of Hydroclimatic Extremes on Crop Yields Ö Baydaroğlu, S Yeşilköy, I Demir EMS2024, 2024 | | 2024 |
| Novel Integration of Direct Measurements with Numerical Models for Real-Time Estimation and Forecasting of Streamflow Response to Cyclical Processes E House, M Muste, EA Meselhe, I Demir, B Cikmaz, O Baydaroglu, ... AGU Fall Meeting Abstracts 2023, H11A-01, 2023 | | 2023 |
Ibrahim DemirProfessor, Hydroinformatics Lab, RCSE, ByWater, Tulane Universityبريد إلكتروني تم التحقق منه على tulane.edu