Artificial neural networks in hydrology RS Govindaraju, AR Rao Springer Science & Business Media, 2013 | 964 | 2013 |
A copula-based joint deficit index for droughts SC Kao, RS Govindaraju Journal of Hydrology 380 (1-2), 121-134, 2010 | 735 | 2010 |
Artificial neural networks in hydrology. II: hydrologic applications RS Govindaraju Journal of Hydrologic Engineering 5 (2), 124-137, 2000 | 393 | 2000 |
Integrated numerical modeling for basin-wide water management: The case of the Rattlesnake Creek basin in south-central Kansas MA Sophocleous, JK Koelliker, RS Govindaraju, T Birdie, ... Journal of Hydrology 214 (1-4), 179-196, 1999 | 358 | 1999 |
Prediction of watershed runoff using Bayesian concepts and modular neural networks B Zhang, RS Govindaraju Water Resources Research 36 (3), 753-762, 2000 | 302 | 2000 |
Trends and variability of droughts over the Indian monsoon region G Mallya, V Mishra, D Niyogi, S Tripathi, RS Govindaraju Weather and Climate Extremes 12, 43-68, 2016 | 284 | 2016 |
Trivariate statistical analysis of extreme rainfall events via the Plackett family of copulas SC Kao, RS Govindaraju Water Resources Research 44 (2), 2008 | 274 | 2008 |
Cost‐effective allocation of watershed management practices using a genetic algorithm M Arabi, RS Govindaraju, MM Hantush Water Resources Research 42 (10), 2006 | 274 | 2006 |
A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices M Arabi, RS Govindaraju, MM Hantush Journal of Hydrology 333 (2-4), 459-471, 2007 | 248 | 2007 |
ROLE OF WATERSHED SUBDIVISION ON MODELING THE EFFECTIVENESS OF BEST MANAGEMENT PRACTICES WITH SWAT1 M Arabi, RS Govindaraju, MM Hantush, BA Engel JAWRA Journal of the American Water Resources Association 42 (2), 513-528, 2006 | 238 | 2006 |
Observational evidence that agricultural intensification and land use change may be reducing the Indian summer monsoon rainfall D Niyogi, C Kishtawal, S Tripathi, RS Govindaraju Water Resources Research 46 (3), 2010 | 217 | 2010 |
Spatial averaging of unsaturated flow equations under infiltration conditions over areally heterogeneous fields: 1. Development of models ZQ Chen, RS Govindaraju, ML Kavvas Water Resources Research 30 (2), 523-533, 1994 | 192 | 1994 |
Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering VV Srinivas, S Tripathi, AR Rao, RS Govindaraju Journal of Hydrology 348 (1-2), 148-166, 2008 | 189 | 2008 |
A bivariate frequency analysis of extreme rainfall with implications for design SC Kao, RS Govindaraju Journal of Geophysical Research: Atmospheres 112 (D13), 2007 | 188 | 2007 |
2012 Midwest drought in the United States G Mallya, L Zhao, XC Song, D Niyogi, RS Govindaraju Journal of Hydrologic Engineering 18 (7), 737-745, 2013 | 186 | 2013 |
Applicability of St. Venant equations for two-dimensional overland flows over rough infiltrating surfaces G Tayfur, ML Kavvas, RS Govindaraju, DE Storm Journal of Hydraulic Engineering 119 (1), 51-63, 1993 | 173 | 1993 |
Comparison of ANNs and empirical approaches for predicting watershed runoff J Anmala, B Zhang, RS Govindaraju Journal of water resources planning and management 126 (3), 156-166, 2000 | 172 | 2000 |
Geomorphology-based artificial neural networks (GANNs) for estimation of direct runoff over watersheds B Zhang, RS Govindaraju Journal of Hydrology 273 (1-4), 18-34, 2003 | 166 | 2003 |
On the diffusion wave model for overland flow: 1. Solution for steep slopes RS Govindaraju, SE Jones, ML Kavvas Water Resources Research 24 (5), 734-744, 1988 | 157* | 1988 |
Role of slope on infiltration: A review R Morbidelli, C Saltalippi, A Flammini, RS Govindaraju Journal of Hydrology 557, 878-886, 2018 | 155 | 2018 |