| Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling HV Gupta, H Kling, KK Yilmaz, GF Martinez Journal of hydrology 377 (1-2), 80-91, 2009 | 4408 | 2009 |
| Effective and efficient global optimization for conceptual rainfall‐runoff models Q Duan, S Sorooshian, V Gupta Water resources research 28 (4), 1015-1031, 1992 | 4226 | 1992 |
| Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration HV Gupta, S Sorooshian, PO Yapo Journal of hydrologic engineering 4 (2), 135-143, 1999 | 2446 | 1999 |
| Shuffled complex evolution approach for effective and efficient global minimization QY Duan, VK Gupta, S Sorooshian Journal of optimization theory and applications 76, 501-521, 1993 | 2051 | 1993 |
| Artificial neural network modeling of the rainfall‐runoff process K Hsu, HV Gupta, S Sorooshian Water resources research 31 (10), 2517-2530, 1995 | 2040 | 1995 |
| Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information HV Gupta, S Sorooshian, PO Yapo Water Resources Research 34 (4), 751-763, 1998 | 1788 | 1998 |
| Optimal use of the SCE-UA global optimization method for calibrating watershed models Q Duan, S Sorooshian, VK Gupta Journal of hydrology 158 (3-4), 265-284, 1994 | 1776 | 1994 |
| A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters JA Vrugt, HV Gupta, W Bouten, S Sorooshian Water resources research 39 (8), 2003 | 1481 | 2003 |
| Evaluation of PERSIANN system satellite-based estimates of tropical rainfall S Sorooshian, KL Hsu, X Gao, HV Gupta, B Imam, D Braithwaite Bulletin of the American Meteorological Society 81 (9), 2035-2046, 2000 | 1414 | 2000 |
| Precipitation estimation from remotely sensed information using artificial neural networks K Hsu, X Gao, S Sorooshian, HV Gupta Journal of Applied Meteorology and Climatology 36 (9), 1176-1190, 1997 | 1243 | 1997 |
| Multi-objective global optimization for hydrologic models PO Yapo, HV Gupta, S Sorooshian Journal of hydrology 204 (1-4), 83-97, 1998 | 1206 | 1998 |
| A decade of Predictions in Ungauged Basins (PUB)—a review M Hrachowitz, HHG Savenije, G Blöschl, JJ McDonnell, M Sivapalan, ... Hydrological sciences journal 58 (6), 1198-1255, 2013 | 1120 | 2013 |
| Dual state–parameter estimation of hydrological models using ensemble Kalman filter H Moradkhani, S Sorooshian, HV Gupta, PR Houser Advances in water resources 28 (2), 135-147, 2005 | 1062 | 2005 |
| Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework Y Liu, HV Gupta Water resources research 43 (7), 2007 | 932 | 2007 |
| Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods DP Boyle, HV Gupta, S Sorooshian Water Resources Research 36 (12), 3663-3674, 2000 | 907 | 2000 |
| Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter H Moradkhani, KL Hsu, H Gupta, S Sorooshian Water resources research 41 (5), 2005 | 812 | 2005 |
| Automatic calibration of conceptual rainfall‐runoff models: The question of parameter observability and uniqueness S Sorooshian, VK Gupta Water resources research 19 (1), 260-268, 1983 | 792 | 1983 |
| Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data PO Yapo, HV Gupta, S Sorooshian Journal of hydrology 181 (1-4), 23-48, 1996 | 789 | 1996 |
| Effective and efficient algorithm for multiobjective optimization of hydrologic models JA Vrugt, HV Gupta, LA Bastidas, W Bouten, S Sorooshian Water resources research 39 (8), 2003 | 788 | 2003 |
| “Panta Rhei—everything flows”: change in hydrology and society—the IAHS scientific decade 2013–2022 A Montanari, G Young, HHG Savenije, D Hughes, T Wagener, LL Ren, ... Hydrological sciences journal 58 (6), 1256-1275, 2013 | 787 | 2013 |
