| Multipurpose reservoir operation using particle swarm optimization D Nagesh Kumar, M Janga Reddy Journal of Water Resources planning and management 133 (3), 192-201, 2007 | 388 | 2007 |
| River flow forecasting using recurrent neural networks D Nagesh Kumar, K Srinivasa Raju, T Sathish Water resources management 18, 143-161, 2004 | 320 | 2004 |
| Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine A Anandhi, VV Srinivas, RS Nanjundiah, D Nagesh Kumar International Journal of Climatology 28 (3), 401-420, 2008 | 317 | 2008 |
| Multi‐objective particle swarm optimization for generating optimal trade‐offs in reservoir operation MJ Reddy, D Nagesh Kumar Hydrological Processes: An International Journal 21 (21), 2897-2909, 2007 | 270 | 2007 |
| 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, 163-176, 2004 | 203 | 2004 |
| Ranking of CMIP5-based global climate models for India using compromise programming K Srinivasa Raju, P Sonali, D Nagesh Kumar Theoretical and applied climatology 128, 563-574, 2017 | 162 | 2017 |
| An efficient multi-objective optimization algorithm based on swarm intelligence for engineering design M Janga Reddy, D Nagesh Kumar Engineering Optimization 39 (1), 49-68, 2007 | 153 | 2007 |
| Evolutionary algorithms, swarm intelligence methods, and their applications in water resources engineering: a state-of-the-art review M Janga Reddy, D Nagesh Kumar h2oj 3 (1), 135-188, 2020 | 124 | 2020 |
| Bayesian dynamic modeling for monthly Indian summer monsoon rainfall using El Nino–Southern Oscillation (ENSO) and Equatorial Indian Ocean Oscillation (EQUINOO) R Maity, D Nagesh Kumar Journal of Geophysical Research: Atmospheres 111 (D7), 2006 | 113 | 2006 |
| Optimal reservoir operation for flood control using folded dynamic programming D Nagesh Kumar, F Baliarsingh, K Srinivasa Raju Water resources management 24, 1045-1064, 2010 | 110 | 2010 |
| Plastics in the Indian Ocean–sources, transport, distribution, and impacts C Pattiaratchi, M van der Mheen, C Schlundt, BE Narayanaswamy, A Sura, ... Ocean science 18 (1), 1-28, 2022 | 100 | 2022 |
| Ranking general circulation models for India using TOPSIS K Srinivasa Raju, D Nagesh Kumar Journal of Water and Climate Change 6 (2), 288-299, 2015 | 88 | 2015 |
| Study of dynamic behaviour of recession curves B Biswal, D Nagesh Kumar Hydrological Processes 28 (3), 784-792, 2014 | 87 | 2014 |
| Assessing severe drought and wet events over India in a future climate using a nested bias-correction approach R Ojha, D Nagesh Kumar, A Sharma, R Mehrotra Journal of Hydrologic Engineering 18 (7), 760-772, 2013 | 80 | 2013 |
| Characterizing drought using the reliability-resilience-vulnerability concept R Maity, A Sharma, D Nagesh Kumar, K Chanda Journal of Hydrologic Engineering 18 (7), 859-869, 2013 | 77 | 2013 |
| An intelligent opportunistic routing algorithm for wireless sensor networks and its application towards e-healthcare DK Bangotra, Y Singh, A Selwal, N Kumar, PK Singh, WC Hong Sensors 20 (14), 3887, 2020 | 71 | 2020 |
| Data mining for evolution of association rules for droughts and floods in India using climate inputs CT Dhanya, D Nagesh Kumar Journal of Geophysical Research: Atmospheres 114 (D2), 2009 | 68 | 2009 |
| Detection of forest fires using machine learning technique: A perspective A Kansal, Y Singh, N Kumar, V Mohindru 2015 third international conference on image information processing (ICIIP …, 2015 | 67 | 2015 |
| Probabilistic prediction of hydroclimatic variables with nonparametric quantification of uncertainty R Maity, D Nagesh Kumar Journal of Geophysical Research: Atmospheres 113 (D14), 2008 | 65 | 2008 |
