| Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions HR Maier, A Jain, GC Dandy, KP Sudheer Environmental modelling & software 25 (8), 891-909, 2010 | 993 | 2010 |
| A neuro-fuzzy computing technique for modeling hydrological time series PC Nayak, KP Sudheer, DM Rangan, KS Ramasastri Journal of Hydrology 291 (1-2), 52-66, 2004 | 871 | 2004 |
| A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models KP Sudheer, AK Gosain, KS Ramasastri Hydrological processes 16 (6), 1325-1330, 2002 | 510 | 2002 |
| Groundwater level forecasting in a shallow aquifer using artificial neural network approach PC Nayak, YRS Rao, KP Sudheer Water resources management 20, 77-90, 2006 | 477 | 2006 |
| Sensitivity and identifiability of stream flow generation parameters of the SWAT model R Cibin, KP Sudheer, I Chaubey Hydrological Processes: An International Journal 24 (9), 1133-1148, 2010 | 367 | 2010 |
| Short‐term flood forecasting with a neurofuzzy model PC Nayak, KP Sudheer, DM Rangan, KS Ramasastri Water Resources Research 41 (4), 2005 | 355 | 2005 |
| Estimating actual evapotranspiration from limited climatic data using neural computing technique KP Sudheer, AK Gosain, KS Ramasastri Journal of irrigation and drainage engineering 129 (3), 214-218, 2003 | 350 | 2003 |
| Rainfall‐runoff modelling using artificial neural networks: comparison of network types AR Senthil Kumar, KP Sudheer, SK Jain, PK Agarwal Hydrological Processes: An International Journal 19 (6), 1277-1291, 2005 | 322 | 2005 |
| Modelling evaporation using an artificial neural network algorithm KP Sudheer, AK Gosain, D Mohana Rangan, SM Saheb Hydrological Processes 16 (16), 3189-3202, 2002 | 291 | 2002 |
| Artificial neural network modeling for groundwater level forecasting in a river island of eastern India S Mohanty, MK Jha, A Kumar, KP Sudheer Water resources management 24, 1845-1865, 2010 | 260 | 2010 |
| Fuzzy computing based rainfall–runoff model for real time flood forecasting PC Nayak, KP Sudheer, KS Ramasastri Hydrological Processes: An International Journal 19 (4), 955-968, 2005 | 257 | 2005 |
| Fitting of hydrologic models: a close look at the Nash–Sutcliffe index SK Jain, KP Sudheer Journal of hydrologic engineering 13 (10), 981-986, 2008 | 254 | 2008 |
| Identification of physical processes inherent in artificial neural network rainfall runoff models A Jain, KP Sudheer, S Srinivasulu Hydrological processes 18 (3), 571-581, 2004 | 232 | 2004 |
| Radial basis function neural network for modeling rating curves KP Sudheer, SK Jain Journal of Hydrologic Engineering 8 (3), 161-164, 2003 | 195 | 2003 |
| Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models D Padmini, K Ilamparuthi, KP Sudheer Computers and Geotechnics 35 (1), 33-46, 2008 | 192 | 2008 |
| Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation SK Jain, PC Nayak, KP Sudheer Hydrological Processes: An International Journal 22 (13), 2225-2234, 2008 | 189 | 2008 |
| Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to … VM Bindhu, B Narasimhan, KP Sudheer Remote Sensing of Environment 135, 118-129, 2013 | 169 | 2013 |
| Potential application of wavelet neural network ensemble to forecast streamflow for flood management KS Kasiviswanathan, J He, KP Sudheer, JH Tay Journal of hydrology 536, 161-173, 2016 | 160 | 2016 |
| Explaining the internal behaviour of artificial neural network river flow models KP Sudheer, A Jain Hydrological Processes 18 (4), 833-844, 2004 | 157 | 2004 |
| Indian summer monsoon rainfall: implications of contrasting trends in the spatial variability of means and extremes S Ghosh, H Vittal, T Sharma, S Karmakar, KS Kasiviswanathan, ... PloS one 11 (7), e0158670, 2016 | 147 | 2016 |
Purna C Nayak, Ph. D.National Institute of Hydrology, Surface Water Hydrology Division, Roorkee-247667Geverifieerd e-mailadres voor gov.in