Sujay Raghavendra Naganna

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	All	Since 2019
Citations	1780	1545
h-index	18	18
i10-index	28	27

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Sreedhara B MarulasiddappaDept. of Civil Engineering, Siddaganga Institute of Technology, Tumakuru - 572103Verified email at sit.ac.in
Aadhityaa MohanaveluStanford UniversityVerified email at stanford.edu
Amit PatilDepartment of Civil Engineering, RIT IslampurVerified email at ritindia.edu
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, GermanyVerified email at th-luebeck.de
Jagalingam PushparajVellore Institute of TechnologyVerified email at vit.ac.in
Ahmed El-ShafieUniversity of MalayaVerified email at um.edu.my
Prabal DasPost Doctoral Research Associate, UT ArlingtonVerified email at uta.edu
Mahsa H. KashaniUniversity of Mohaghegh ArdabiliVerified email at uma.ac.ir
Dr. C. R. RamakrishnaiahProfessor, Department of Civil Engineering, B.M.S. College of EngineeringVerified email at bmsce.ac.in
Muttana S BalreddySiddaganga Institute of TechnologyVerified email at sit.ac.in
Shivansh ShrivastavaTexas State UniversityVerified email at txstate.edu
Ananda V RProfessor of Civil Engineering, Visvesvaraya Technological UniversityVerified email at vcetputtur.ac.in
Alban KuriqiUniversity of Lisbon, PortugalVerified email at tecnico.ulisboa.pt
Anurag MalikPunjab Agricultural UniversityVerified email at pau.edu
Kim Hung, MoUniversiti MalayaVerified email at um.edu.my
TAN CHEE GHUANSenior Lecturer, Department of Civil Engineering, University of MalayaVerified email at um.edu.my
AYILOBENI KIKONNational Institute of Technology KarnatakaVerified email at nitk.edu.in
Surajit Deb BarmaResearcherVerified email at nitk.edu.in
Jamilu Usman, Ph.DSokoto State University, Sokoto, NigeriaVerified email at ssu.edu.ng
Atheer Y. Oudah aalmuttarAl-Ayen UniversityVerified email at alayen.edu.iq

Sujay Raghavendra Naganna

Other namesSujay Raghavendra N

Manipal lnstitute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.

Verified email at manipal.edu - Homepage

Water Resources Engineering Groundwater Modeling Machine Learning Concrete Technology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Support vector machine applications in the field of hydrology: a review S Raghavendra N, PC Deka Applied Soft Computing 19, 372-386, 2014	669	2014
Wavelet coupled MARS and M5 model tree approaches for groundwater level forecasting M Rezaie-balf, SR Naganna, A Ghaemi, PC Deka Journal of Hydrology 553, 356-373, 2017	123	2017
Irrigation induced salinity and sodicity hazards on soil and groundwater: An overview of its causes, impacts and mitigation strategies A Mohanavelu, SR Naganna, N Al-Ansari Agriculture 11 (10), 983, 2021	98	2021
Dew point temperature estimation: application of artificial intelligence model integrated with nature-inspired optimization algorithms SR Naganna, PC Deka, MA Ghorbani, SM Biazar, N Al-Ansari, ... Water 11 (4), 742, 2019	86	2019
Investigation of concrete produced using recycled aluminium dross for hot weather concreting conditions G Mailar, N Sujay Raghavendra, BM Sreedhara, DS Manu, P Hiremath, ... Resource-Efficient Technologies 2 (2), 68-80, 2016	73	2016
Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms ZM Yaseen, SR Naganna, Z Sa’adi, P Samui, MA Ghorbani, SQ Salih, ... Water Resources Management 34 (3), 1075–1091, 2020	62	2020
Forecasting monthly groundwater level fluctuations in coastal aquifers using hybrid Wavelet packet–Support vector regression N Sujay Raghavendra, PC Deka Cogent Engineering 2 (1), 999414, 2015	62	2015
Eco-concrete for sustainability: utilizing aluminium dross and iron slag as partial replacement materials S Javali, AR Chandrashekar, SR Naganna, DS Manu, P Hiremath, ... Clean Technologies and Environmental Policy 19 (9), 2291–2304, 2017	55	2017
Sustainable development and management of groundwater resources in mining affected areas: a review NS Raghavendra, PC Deka Procedia Earth and Planetary Science 11, 598-604, 2015	55	2015
Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review SR Naganna, PC Deka, S Ch, WF Hansen Environmental Science and Pollution Research 24 (32), 24765–24789, 2017	44	2017
Hybrid wavelet packet machine learning approaches for drought modeling P Das, SR Naganna, PC Deka, J Pushparaj Environmental Earth Sciences 79 (10), 221, 2020	43	2020
On the evaluation of the gradient tree boosting model for groundwater level forecasting SR Naganna, BH Beyaztas, N Bokde, AM Armanuos Knowledge-Based Engineering and Sciences 1 (01), 48-57, 2020	41	2020
Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam M Rezaie-Balf, SR Naganna, O Kisi, A El-Shafie Hydrological Sciences Journal 64 (13), 1629-1646, 2019	41	2019
Multiple AI model integration strategy—application to saturated hydraulic conductivity prediction from easily available soil properties MH Kashani, MA Ghorbani, M Shahabi, SR Naganna, L Diop Soil and Tillage Research 196, 104449, 2020	39	2020
Multistep Ahead Groundwater Level Time-Series Forecasting Using Gaussian Process Regression and ANFIS S Raghavendra N, PC Deka Advanced Computing and Systems for Security, 289-302, 2016	34	2016
Sourcing CHIRPS precipitation data for streamflow forecasting using Intrinsic Time-scale Decomposition based Machine Learning models M Wang, M Rezaie-balf, SR Naganna, ZM Yaseen Hydrological Sciences Journal 66 (9), 1437-1456, 2021	22	2021
Spatial variability of ground water quality: a case study of Udupi district, Karnataka State, India BV Deepika, CR Ramakrishnaiah, SR Naganna Journal of Earth System Science 129, 1-20, 2020	22	2020
Estimation of dew point temperature using SVM and ELM for humid and semi-arid regions of India PC Deka, AP Patil, P Yeswanth Kumar, SR Naganna ISH journal of hydraulic engineering 24 (2), 190-197, 2018	19	2018
Variability of Streambed Hydraulic Conductivity in an intermittent stream reach regulated by Vented Dams: A case study SR Naganna, PC Deka Journal of Hydrology 562, 477-491, 2018	16	2018
Application of gradient tree boosting regressor for the prediction of scour depth around bridge piers BM Sreedhara, AP Patil, J Pushparaj, G Kuntoji, SR Naganna Journal of Hydroinformatics 23 (4), 849, 2021	15	2021

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