| River flow forecasting using recurrent neural networks D Nagesh Kumar, K Srinivasa Raju, T Sathish Water Resources Management 18 (2), 143-161, 2004 | 320 | 2004 |
| Multicriterion analysis for sustainable water resources planning: a case study in Spain KS Raju, L Duckstein, C Arondel Water Resources Management 14 (6), 435-456, 2000 | 288 | 2000 |
| Optimal reservoir operation for irrigation of multiple crops using genetic algorithms D Nagesh Kumar, KS Raju, B Ashok Journal of Irrigation and Drainage Engineering 132 (2), 123-129, 2006 | 214 | 2006 |
| Irrigation planning using genetic algorithms K Srinivasa Raju, D Nagesh Kumar Water Resources Management 18 (2), 163-176, 2004 | 203 | 2004 |
| Multicriterion decision making in irrigation planning KS Raju, DN Kumar Agricultural Systems 62 (2), 117-129, 1999 | 188 | 1999 |
| Ranking of CMIP5-based global climate models for India using compromise programming KS Raju, P Sonali, DN Kumar Theoretical and applied climatology 128 (3-4), 563-574, 2017 | 162 | 2017 |
| Multicriterion decision making in river basin planning and development KS Raju, CRS Pillai European Journal of Operational Research 112 (2), 249-257, 1999 | 157 | 1999 |
| Review of approaches for selection and ensembling of GCMs KS Raju, DN Kumar Journal of Water and Climate Change 11 (3), 577-599, 2020 | 142 | 2020 |
| Comparative analysis of simulated annealing, simulated quenching and genetic algorithms for optimal reservoir operation A Vasan, KS Raju Applied Soft Computing 9 (1), 274-281, 2009 | 138 | 2009 |
| Multicriterion Analysis in Engineering and Management S Raju, N Kumar PHI Learning Pvt. Ltd., 2010 | 132* | 2010 |
| Ranking of global climate models for India using multicriterion analysis KS Raju, DN Kumar Clim Res 60, 103-117, 2014 | 130 | 2014 |
| Optimal reservoir operation for flood control using folded dynamic programming D Nagesh Kumar, F Baliarsingh, K Srinivasa Raju Water resources management 24 (6), 1045-1064, 2010 | 110 | 2010 |
| Multicriterion decision making in performance evaluation of an irrigation system KS Raju, CRS Pillai European Journal of Operational Research 112 (3), 479-488, 1999 | 99 | 1999 |
| Ranking irrigation planning alternatives using data envelopment analysis KS Raju, DN Kumar Water resources management 20 (4), 553-566, 2006 | 93 | 2006 |
| Ranking general circulation models for India using TOPSIS KS Raju, DN Kumar Journal of Water and Climate Change 6 (2), 288-299, 2015 | 88 | 2015 |
| Application of machine learning algorithms for flood susceptibility assessment and risk management R Madhuri, S Sistla, K Srinivasa Raju Journal of Water and Climate Change, 2021 | 74 | 2021 |
| Artificial neural networks and multicriterion analysis for sustainable irrigation planning KS Raju, DN Kumar, L Duckstein Computers & operations research 33 (4), 1138-1153, 2006 | 72 | 2006 |
| Urban floods in Hyderabad, India, under present and future rainfall scenarios: a case study S Vemula, KS Raju, SS Veena, AS Kumar Natural Hazards 95 (3), 637-655, 2019 | 57 | 2019 |
| Impact of Climate Change on Water Resources: With Modeling Techniques and Case Studies KS Raju, DN Kumar Springer, 2017 | 53* | 2017 |
| Application of differential evolution for irrigation planning: An Indian case study A Vasan, KS Raju Water resources management 21 (8), 1393-1407, 2007 | 53 | 2007 |
Prof. D. Nagesh KumarProfessor, Dept of Civil Engg., Indian Institute of ScienceVerified email at iisc.ac.in
