Comparative study of different wavelets for hydrologic forecasting R Maheswaran, R Khosa Computers & Geosciences 46, 284-295, 2012 | 234 | 2012 |
A hybrid SVM-PSO model for forecasting monthly streamflow C Sudheer, R Maheswaran, BK Panigrahi, S Mathur Neural Computing and Applications 24, 1381-1389, 2014 | 195 | 2014 |
Genetic programming approach for flood routing in natural channels C Sivapragasam, R Maheswaran, V Venkatesh Hydrological Processes: An International Journal 22 (5), 623-628, 2008 | 122 | 2008 |
Hydrologic regionalization using wavelet-based multiscale entropy method A Agarwal, R Maheswaran, V Sehgal, R Khosa, B Sivakumar, ... Journal of Hydrology 538, 22-32, 2016 | 112 | 2016 |
Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method M Rathinasamy, J Adamowski, R Khosa Journal of Hydrology 507, 186-200, 2013 | 100 | 2013 |
Wavelet–Volterra coupled model for monthly stream flow forecasting R Maheswaran, R Khosa Journal of Hydrology 450, 320-335, 2012 | 93 | 2012 |
Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling J Quilty, J Adamowski, B Khalil, M Rathinasamy Water Resources Research 52 (3), 2299-2326, 2016 | 89 | 2016 |
Wavelet‐based multiscale performance analysis: An approach to assess and improve hydrological models M Rathinasamy, R Khosa, J Adamowski, S Ch, G Partheepan, J Anand, ... Water Resources Research 50 (12), 9721-9737, 2014 | 88 | 2014 |
Long term forecasting of groundwater levels with evidence of non-stationary and nonlinear characteristics R Maheswaran, R Khosa Computers & Geosciences 52, 422-436, 2013 | 71 | 2013 |
Wavelet analysis of precipitation extremes over India and teleconnections to climate indices M Rathinasamy, A Agarwal, B Sivakumar, N Marwan, J Kurths Stochastic Environmental Research and Risk Assessment 33, 2053-2069, 2019 | 69 | 2019 |
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach J Kurths, A Agarwal, R Shukla, N Marwan, M Rathinasamy, L Caesar, ... Nonlinear Processes in Geophysics 26 (3), 251-266, 2019 | 67 | 2019 |
Nutrient expertTM: a tool to optimize nutrient use and improve productivity of maize. T Satyanarayana, K Majumdar, M Pampolino, AM Johnston, ML Jat, ... | 67 | 2013 |
Network-based identification and characterization of teleconnections on different scales A Agarwal, L Caesar, N Marwan, R Maheswaran, B Merz, J Kurths Scientific Reports 9 (1), 8808, 2019 | 65 | 2019 |
Regional scale groundwater modelling study for Ganga River basin R Maheswaran, R Khosa, AK Gosain, S Lahari, SK Sinha, BR Chahar, ... Journal of Hydrology 541, 727-741, 2016 | 61 | 2016 |
Quantifying the roles of single stations within homogeneous regions using complex network analysis A Agarwal, N Marwan, R Maheswaran, B Merz, J Kurths Journal of Hydrology 563, 802-810, 2018 | 59 | 2018 |
Spatiotemporal variability of Indian rainfall using multiscale entropy RK Guntu, M Rathinasamy, A Agarwal, B Sivakumar Journal of Hydrology 587, 124916, 2020 | 53 | 2020 |
Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach A Agarwal, N Marwan, M Rathinasamy, B Merz, J Kurths Nonlinear Processes in Geophysics 24 (4), 599-611, 2017 | 51 | 2017 |
Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling V Sehgal, A Lakhanpal, R Maheswaran, R Khosa, V Sridhar Journal of Hydrology 556, 1078-1095, 2018 | 49 | 2018 |
Wavelet entropy-based evaluation of intrinsic predictability of time series RK Guntu, PK Yeditha, M Rathinasamy, M Perc, N Marwan, J Kurths, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (3), 2020 | 48 | 2020 |
Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods PK Yeditha, V Kasi, M Rathinasamy, A Agarwal Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (6), 2020 | 45 | 2020 |