Follow
Maheswaran Rathinasamy
Title
Cited by
Cited by
Year
Comparative study of different wavelets for hydrologic forecasting
R Maheswaran, R Khosa
Computers & Geosciences 46, 284-295, 2012
2342012
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
1952014
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
1222008
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
1122016
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
1002013
Wavelet–Volterra coupled model for monthly stream flow forecasting
R Maheswaran, R Khosa
Journal of Hydrology 450, 320-335, 2012
932012
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
892016
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
882014
Long term forecasting of groundwater levels with evidence of non-stationary and nonlinear characteristics
R Maheswaran, R Khosa
Computers & Geosciences 52, 422-436, 2013
712013
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
692019
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
672019
Nutrient expertTM: a tool to optimize nutrient use and improve productivity of maize.
T Satyanarayana, K Majumdar, M Pampolino, AM Johnston, ML Jat, ...
672013
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
652019
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
612016
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
592018
Spatiotemporal variability of Indian rainfall using multiscale entropy
RK Guntu, M Rathinasamy, A Agarwal, B Sivakumar
Journal of Hydrology 587, 124916, 2020
532020
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
512017
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
492018
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
482020
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
452020
The system can't perform the operation now. Try again later.
Articles 1–20