| Identification of unknown groundwater pollution sources using classical optimization with linked simulation B Datta, D Chakrabarty, A Dhar Journal of Hydro-Environment Research 5 (1), 25-36, 2011 | 115 | 2011 |
| Simultaneous identification of unknown groundwater pollution sources and estimation of aquifer parameters B Datta, D Chakrabarty, A Dhar Journal of Hydrology 376 (1-2), 48-57, 2009 | 92 | 2009 |
| Optimal dynamic monitoring network design and identification of unknown groundwater pollution sources B Datta, D Chakrabarty, A Dhar Water Resources Management 23, 2031-2049, 2009 | 83 | 2009 |
| Sediment transport modelling in an alluvial river with artificial neural network SA Rahman, D Chakrabarty Journal of Hydrology 588, 125056, 2020 | 33 | 2020 |
| Multi-objective optimization for optimal groundwater remediation design and management systems TS Singh, D Chakrabarty Geosciences Journal 14 (1), 87-97, 2010 | 32 | 2010 |
| Multiobjective optimization of pump-and-treat-based optimal multilayer aquifer remediation design with flexible remediation time TS Singh, D Chakrabarty Journal of Hydrologic Engineering 16 (5), 413-420, 2011 | 21 | 2011 |
| Chance-constrained multi-objective programming for optimal multi-layer aquifer remediation design TS Singh, D Chakrabarty Engineering Optimization 43 (4), 417-432, 2011 | 18 | 2011 |
| Assessment of artificial neural network models based on the simulation of groundwater contaminant transport J Pal, D Chakrabarty Hydrogeology Journal 28 (6), 2039-2055, 2020 | 16 | 2020 |
| Optimal identification of unknown pollution sources using linked optimization simulation methodology B Datta, D Chakrabarty Proc. of Symp. on Advances in Geotechnical Engineering (SAGE 2003), 368-379, 2003 | 14 | 2003 |
| Identification of unknown groundwater pollution sources and simultaneous parameter estimation using linked optimization-simulation approach D Chakrabarty IIT Kanpur, India, 2001 | 6 | 2001 |
| Effects of input/output parameters on artificial neural network model efficiency for breakthrough contaminant prediction J Pal, D Chakrabarty Water Supply 21 (7), 3614-3628, 2021 | 4 | 2021 |
| Significance of remediation time on the optimal remediation design of contaminated aquifers TS Singh, D Chakrabarty 2009 Second International Conference on Environmental and Computer Science …, 2009 | 3 | 2009 |
| Infilling of missing data in groundwater pollution prediction models using statistical methods J Pal, D Chakrabarty Hydrological Sciences Journal 68 (15), 2208-2222, 2023 | | 2023 |
| Regional Rainfall Frequency Analysis in the Lower Brahmaputra Basin B Sarma, D Chakrabarty Water Resources 50 (4), 600-609, 2023 | | 2023 |
| Effect of input-target datasets on sediment transport modelling in alluvial rivers using artificial neural network SA Rahman, D Chakrabarty Hydrological Sciences Journal 67 (2), 205-221, 2022 | | 2022 |
| Discussion of “Multiobjective Groundwater Remediation System Design Using Coupled Finite-Element Model and Nondominated Sorting Genetic Algorithm II” by Arpita Mondal, TI Eldho … D Chakrabarty, TS Singh Journal of Hydrologic Engineering 16 (8), 696-697, 2011 | | 2011 |
| Corrected Proof J Pal, D Chakrabarty | | |
| EFFECT OF MISSING DATA ON THE PERFORMANCE OF SEDIMENT TRANSPORT MODEL SA Rahman, D Chakrabarty | | |
