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Sujay Raghavendra Naganna

Observed names: N. Sujay Raghavendra, Sujay Naganna, Sujay Raghavendra N, Sujay Raghavendra N., Sujay Raghavendra. N
ORCID: 0000-0002-0482-1936
Observed ORCID: 0000-0002-0482-1936
OpenAlex ID: A5089194470
Support vector machine applications in the field of hydrology: A review
2014 · Sujay Raghavendra. N, Paresh Chandra Deka · Applied Soft Computing · 780
Irrigation Induced Salinity and Sodicity Hazards on Soil and Groundwater: An Overview of Its Causes, Impacts and Mitigation Strategies
2021 · Aadhityaa Mohanavelu, Sujay Raghavendra Naganna, et al. · Agriculture · 344
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Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting
2017 · Mohammad Rezaie-balf, Sujay Raghavendra Naganna, et al. · Journal of Hydrology · 140
Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms
2019 · Sujay Naganna, Paresh Deka, et al. · Water · 95
Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms
2020 · Zaher Mundher Yaseen, Sujay Raghavendra Naganna, et al. · Water Resources Management · 85
Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review
2017 · Sujay Raghavendra Naganna, Paresh Chandra Deka, et al. · Environmental Science and Pollution Research · 66
Investigation of concrete produced using recycled aluminium dross for hot weather concreting conditions
2016 · Gireesh Mailar, Sujay Raghavendra N, et al. · Resource-Efficient Technologies · 65
Sustainable Development and Management of Groundwater Resources in Mining Affected Areas: A Review
2015 · N. Sujay Raghavendra, Paresh Chandra Deka · Procedia Earth and Planetary Science · 63
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Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
2019 · Mohammad Rezaie-Balf, Sujay Raghavendra Naganna, et al. · Hydrological Sciences Journal · 57
Multiple AI model integration strategy—Application to saturated hydraulic conductivity prediction from easily available soil properties
2019 · Mahsa H. Kashani, Mohammad Ali Ghorbani, et al. · Soil and Tillage Research · 56
On the Evaluation of the Gradient Tree Boosting Model for Groundwater Level Forecasting
2020 · Sujay Raghavendra Naganna, Beste Hamiye Beyaztas, et al. · Knowledge-Based Engineering and Sciences · 52
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Hybrid wavelet packet machine learning approaches for drought modeling
2020 · Prabal Das, Sujay Raghavendra Naganna, et al. · Environmental Earth Sciences · 50
Eco-concrete for sustainability: utilizing aluminium dross and iron slag as partial replacement materials
2017 · Shriraksha Javali, A. R. Chandrashekar, et al. · Clean Technologies and Environmental Policy · 48
Sourcing CHIRPS precipitation data for streamflow forecasting using intrinsic time-scale decomposition based machine learning models
2021 · Maofa Wang, Mohammad Rezaie-Balf, et al. · Hydrological Sciences Journal · 40
Drinking Water Resources Suitability Assessment Based on Pollution Index of Groundwater Using Improved Explainable Artificial Intelligence
2023 · Sani I. Abba, Mohamed A. Yassin, et al. · Sustainability · 39
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RETRACTED ARTICLE: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability
2025 · Sathvik Sharath Chandra, Rakesh Kumar, et al. · Scientific Reports · 36
Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs
2022 · Ozgur Kisi, Amin Mirboluki, et al. · Hydrological Sciences Journal · 35
Daily scale streamflow forecasting in multiple stream orders of Cauvery River, India: Application of advanced ensemble and deep learning models
2023 · Sujay Raghavendra Naganna, Sreedhara B. Marulasiddappa, et al. · Journal of Hydrology · 34
Multistep Ahead Groundwater Level Time-Series Forecasting Using Gaussian Process Regression and ANFIS
2015 · N. Sujay Raghavendra, Paresh Chandra Deka · Advances in intelligent systems and computing · 33
Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data
2022 · Mojtaba Mehraein, Aadhityaa Mohanavelu, et al. · Water · 32
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Streambed pollution: A comprehensive review of its sources, eco-hydro-geo-chemical impacts, assessment, and mitigation strategies
2022 · Aadhityaa Mohanavelu, Shivansh Shrivastava, et al. · Chemosphere · 32
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Application of gradient tree boosting regressor for the prediction of scour depth around bridge piers
2021 · B. M. Sreedhara, Amit Prakash Patil, et al. · Journal of Hydroinformatics · 31
Spatial variability of ground water quality: a case study of Udupi district, Karnataka State, India
2020 · B V Deepika, C R Ramakrishnaiah, et al. · Journal of Earth System Science · 31
Prediction of scour depth around bridge abutments using ensemble machine learning models
2023 · Sreedhara B. Marulasiddappa, Amit Prakash Patil, et al. · Neural Computing and Applications · 25
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Self-compacting concrete incorporating incinerated biomedical waste ash: a performance assessment
2023 · M. C. Nataraja, Nahushananda Chakravarthy H. G., et al. · Journal of Engineering and Applied Science · 25
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Works count: 68
Citation count: 2,708
H-index: 24
I10-index: 47
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