| Comparative study of different wavelets for hydrologic forecasting R Maheswaran, R Khosa Computers & Geosciences 46, 284-295, 2012 | 241 | 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 | 201 | 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 | 123 | 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 | 117 | 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 | 98 | 2013 |
| 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 | 92 | 2016 |
| Wavelet–Volterra coupled model for monthly stream flow forecasting R Maheswaran, R Khosa Journal of Hydrology 450, 320-335, 2012 | 91 | 2012 |
| 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 | 87 | 2014 |
| 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 | 76 | 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 | 72 | 2019 |
| Long term forecasting of groundwater levels with evidence of non-stationary and nonlinear characteristics R Maheswaran, R Khosa Computers & Geosciences 52, 422-436, 2013 | 72 | 2013 |
| Nutrient expertTM: a tool to optimize nutrient use and improve productivity of maize. T Satyanarayana, K Majumdar, M Pampolino, AM Johnston, ML Jat, ... | 68 | 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 | 63 | 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 | 60 | 2018 |
| Spatiotemporal variability of Indian rainfall using multiscale entropy RK Guntu, M Rathinasamy, A Agarwal, B Sivakumar Journal of Hydrology 587, 124916, 2020 | 55 | 2020 |
| 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 | 54 | 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 | 54 | 2017 |
| Predicting land-use change: Intercomparison of different hybrid machine learning models L Sankarrao, DK Ghose, M Rathinsamy Environmental Modelling & Software 145, 105207, 2021 | 48 | 2021 |
| Optimal design of hydrometric station networks based on complex network analysis A Agarwal, N Marwan, R Maheswaran, U Ozturk, J Kurths, B Merz Hydrology and Earth System Sciences 24 (5), 2235-2251, 2020 | 48 | 2020 |
Prof Ankit AgarwalIndian Institute of Technology RoorkeeПотвърден имейл адрес: iitr.ac.in
