| 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 | 856 | 2004 |
| 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 | 470 | 2006 |
| Short‐term flood forecasting with a neurofuzzy model PC Nayak, KP Sudheer, DM Rangan, KS Ramasastri Water Resources Research 41 (4), 2005 | 347 | 2005 |
| 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 | 256 | 2005 |
| 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 |
| Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach PC Nayak, B Venkatesh, B Krishna, SK Jain Journal of Hydrology 493, 57-67, 2013 | 152 | 2013 |
| Improving peak flow estimates in artificial neural network river flow models KP Sudheer, PC Nayak, KS Ramasastri Hydrological Processes 17 (3), 677-686, 2003 | 141 | 2003 |
| Drought indicators-based integrated assessment of drought vulnerability: a case study of Bundelkhand droughts in central India T Thomas, RK Jaiswal, R Galkate, PC Nayak, NC Ghosh Natural Hazards 81, 1627-1652, 2016 | 109 | 2016 |
| Spatiotemporal analysis of drought characteristics in the Bundelkhand region of central India using the standardized precipitation index T Thomas, PC Nayak, NC Ghosh Journal of Hydrologic Engineering 20 (11), 05015004, 2015 | 100 | 2015 |
| Rainfall‐runoff modeling through hybrid intelligent system PC Nayak, KP Sudheer, SK Jain Water Resources Research 43 (7), 2007 | 94 | 2007 |
| Time series modeling of river flow using wavelet neural networks B Krishna, R YR Satyaji, N PC Journal of Water Resource and Protection 2011, 2011 | 89 | 2011 |
| Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting A Kant, PK Suman, BK Giri, MK Tiwari, C Chatterjee, PC Nayak, S Kumar Neural Computing and Applications 23, 231-246, 2013 | 53 | 2013 |
| Trends in rainfall and peak flows for some river basins in India SK Jain, PC Nayak, Y Singh, SK Chandniha Current Science, 1712-1726, 2017 | 52 | 2017 |
| Comprehensive evaluation of the changing drought characteristics in Bundelkhand region of Central India T Thomas, RK Jaiswal, PC Nayak, NC Ghosh Meteorology and Atmospheric Physics 127, 163-182, 2015 | 51 | 2015 |
| Regional flood frequency analysis using soft computing techniques R Kumar, NK Goel, C Chatterjee, PC Nayak Water resources management 29, 1965-1978, 2015 | 50 | 2015 |
| Fuzzy model identification based on cluster estimation for reservoir inflow forecasting PC Nayak, KP Sudheer Hydrological Processes: An International Journal 22 (6), 827-841, 2008 | 41 | 2008 |
| Performance evaluation and hydrological trend detection of a reservoir under climate change condition R Sethi, BK Pandey, R Krishan, D Khare, PC Nayak Modeling Earth Systems and Environment 1, 1-10, 2015 | 37 | 2015 |
| Water balance approach to study the effect of climate change on groundwater storage for Sirhind command area in India PC Nayak, R Wardlaw, AK Kharya International Journal of River Basin Management 13 (2), 243-261, 2015 | 22 | 2015 |
| Spatio-temporal analysis of rainfall pattern in the Western Ghats region of India B Venkatesh, PC Nayak, T Thomas, SK Jain, JV Tyagi Meteorology and Atmospheric Physics 133, 1089-1109, 2021 | 19 | 2021 |
| Hierarchical neurofuzzy model for real-time flood forecasting S Rath, PC Nayak, C Chatterjee International journal of river basin management 11 (3), 253-268, 2013 | 19 | 2013 |
Sharad K JainVisiting Professor, Civil Engg., Indian Institute of Technology, Roorkee, IndiaVerifierad e-postadress på ce.iitr.ac.in
