| Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms S Adarsh, M Janga Reddy International journal of Climatology 35 (6), 1107-1124, 2015 | 144 | 2015 |
| On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico M Zounemat-Kermani, A Mahdavi-Meymand, M Alizamir, S Adarsh, ... Journal of Hydrology 585, 124759, 2020 | 54 | 2020 |
| A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model Y Guan, B Mohammadi, QB Pham, S Adarsh, KS Balkhair, KU Rahman, ... Theoretical and Applied Climatology 142, 349-367, 2020 | 43 | 2020 |
| Multifractal characterization of meteorological drought in India using detrended fluctuation analysis S Adarsh, DN Kumar, B Deepthi, G Gayathri, SS Aswathy, S Bhagyasree International Journal of Climatology 39 (11), 4234-4255, 2019 | 43 | 2019 |
| Multifractal description of daily rainfall fields over India S Adarsh, V Nourani, DS Archana, DS Dharan Journal of hydrology 586, 124913, 2020 | 39 | 2020 |
| Multiscale characterization and prediction of monsoon rainfall in India using Hilbert–Huang transform and time-dependent intrinsic correlation analysis S Adarsh, MJ Reddy Meteorology and Atmospheric Physics 130, 667-688, 2018 | 36 | 2018 |
| Evaluation of trends and predictability of short‐term droughts in three meteorological subdivisions of India using multivariate EMD‐based hybrid modelling S Adarsh, M Janga Reddy Hydrological Processes 33 (1), 130-143, 2019 | 33 | 2019 |
| A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction K Johny, ML Pai, S Adarsh Applied Soft Computing 123, 108941, 2022 | 32 | 2022 |
| Analysing the hydroclimatic teleconnections of summer monsoon rainfall in Kerala, India using Multivariate Empirical Mode Decomposition and time dependent intrinsic Correlation MJR A Sankaran IEEE Geoscience and Remote Sensing Letters 13 (9), 1221-25, 2016 | 31 | 2016 |
| Chance constrained optimal design of composite channels using meta-heuristic techniques M Janga Reddy, S Adarsh Water resources management 24, 2221-2235, 2010 | 31 | 2010 |
| Modeling future irrigation water demands in the context of climate change: A case study of Jayakwadi command area, India A Sunil, B Deepthi, AB Mirajkar, S Adarsh Modeling Earth Systems and Environment 7, 1963-1977, 2021 | 30 | 2021 |
| Time–frequency characterization of sub-divisional scale seasonal rainfall in India using the Hilbert–Huang transform M Janga Reddy, S Adarsh Stochastic environmental research and risk assessment 30, 1063-1085, 2016 | 30 | 2016 |
| Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting K Johny, ML Pai, S Adarsh Theoretical and Applied Climatology 141 (1), 1-17, 2020 | 29 | 2020 |
| Reliability analysis of composite channels using first order approximation and Monte Carlo simulations S Adarsh, MJ Reddy Stochastic environmental research and risk assessment 27, 477-487, 2013 | 26 | 2013 |
| Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia M Ali, R Prasad, Y Xiang, A Sankaran, RC Deo, F Xiao, S Zhu Renewable Energy 177, 1031-1044, 2021 | 25 | 2021 |
| Modeling the concurrent impact of extreme rainfall and reservoir storage on Kerala floods 2018: a Copula approach A Anandalekshmi, ST Panicker, S Adarsh, A Muhammed Siddik, ... Modeling Earth Systems and Environment 5, 1283-1296, 2019 | 24 | 2019 |
| Scale dependent prediction of reference evapotranspiration based on Multi-Variate Empirical mode decomposition S Adarsh, S Sanah, KK Murshida, P Nooramol Ain Shams Engineering Journal 9 (4), 1839-1848, 2018 | 24 | 2018 |
| Ranking of gridded precipitation datasets by merging compromise programming and global performance index: a case study of the Amu Darya basin O Salehie, T Ismail, S Shahid, K Ahmed, S Adarsh, M Asaduzzaman, ... Theoretical and Applied Climatology 144, 985-999, 2021 | 22 | 2021 |
| Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches M Zounemat‐Kermani, M Alizamir, M Fadaee, A Sankaran Namboothiri, ... Water and Environment Journal 35 (1), 335-348, 2021 | 22 | 2021 |
| Multiscale characterization and prediction of reservoir inflows using MEMD-SLR coupled approach S Adarsh, M Janga Reddy Journal of Hydrologic Engineering 24 (1), 04018059, 2019 | 21 | 2019 |
Manne Janga ReddyCivil Engineering, IIT BombayVerified email at civil.iitb.ac.in
