Machine-learning-based regional-scale groundwater level prediction using GRACEPragnaditya Malakar, Anwar Zahid, Sudeshna Sarkar et al.|Hydrogeology Journal|2021Cited by 53
Three decades of depth-dependent groundwater response to climate variability and human regime in the transboundary Indus-Ganges-Brahmaputra-Meghna mega river basin aquifersPragnaditya Malakar, Siddhartha Chattopadhyay, R.K. Ray et al.|Advances in Water Resources|2021Cited by 52
Deep Learning-Based Forecasting of Groundwater Level Trends in India: Implications for Crop Production and Drinking Water SupplyPragnaditya Malakar, R.K. Ray, Abhijit Mukherjee et al.|ACS ES&T Engineering|2021Cited by 40
Importance of spatial and depth-dependent drivers in groundwater level modeling through machine learningPragnaditya Malakar, Anwar Zahid, Abhijit Mukherjee et al.|Unknown|2020Cited by 12
Delineating Variabilities of Groundwater Level Prediction Across the Agriculturally Intensive Transboundary Aquifers of South AsiaPragnaditya Malakar, Abhijit Mukherjee, Sudeshna Sarkar et al.|ACS ES&T Water|2022Cited by 8