| Increase in probable maximum precipitation in a changing climate over India S Sarkar, R Maity Journal of Hydrology 585, 124806, 2020 | 55 | 2020 |
| Global climate shift in 1970s causes a significant worldwide increase in precipitation extremes S Sarkar, R Maity Scientific Reports 11 (1), 11574, 2021 | 44 | 2021 |
| Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors R Maity, MI Khan, S Sarkar, R Dutta, SS Maity, M Pal, K Chanda Journal of Water and Climate Change 12 (6), 2774-2796, 2021 | 30 | 2021 |
| Future characteristics of extreme precipitation indicate the dominance of frequency over intensity: A multi‐model assessment from CMIP6 across India S Sarkar, R Maity Journal of Geophysical Research: Atmospheres 127 (16), e2021JD035539, 2022 | 26 | 2022 |
| Estimation of probable maximum precipitation in the context of climate change S Sarkar, R Maity MethodsX 7, 100904, 2020 | 22 | 2020 |
| Precipitation-based climate change hotspots across India through a multi-model assessment from CMIP6 S Sarkar, SS Maity, R Maity Journal of Hydrology 623, 129805, 2023 | 12 | 2023 |
| Artificial intelligence/machine learning techniques in hydroclimatology: A demonstration of deep learning for future assessment of stream flow under climate change MI Khan, S Sarkar, R Maity Visualization techniques for climate change with machine learning and …, 2023 | 11 | 2023 |
| Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—2. Application of the methodology S Sarkar, K Germer, R Maity, W Durner Journal of Plant Nutrition and Soil Science 182 (4), 535-540, 2019 | 11 | 2019 |
| Measuring near‐saturated hydraulic conductivity of soils by quasi unit‐gradient percolation—1. Theory and numerical analysis S Sarkar, K Germer, R Maity, W Durner Journal of Plant Nutrition and Soil Science 182 (4), 524-534, 2019 | 7 | 2019 |
| High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India S Sarkar, R Maity Data in Brief 30, 105525, 2020 | 5 | 2020 |
| Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6 S Sarkar, R Maity International Journal of Climatology 44 (2), 627-646, 2024 | 3 | 2024 |
| Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R Maity, A Srivastava, S Sarkar, MI Khan Applied Computing and Geosciences 24, 100206, 2024 | 2 | 2024 |
| Towards the development of a comprehensive Heatwave Proneness Index and identification of hotspots across Indian mainland S Sarkar, R Maity Journal of Geophysical Research: Atmospheres 129 (23), e2024JD041775, 2024 | | 2024 |
| Are the cities becoming potentially vulnerable due to change in precipitation characteristics? A pan-India analysis with CMIP6 simulations S Sarkar, SS Maity, R Maity In the Proceedings of the 19th Annual Meeting of Asia Oceania Geosciences …, 2022 | | 2022 |
| Observed Change in Spatio-temporal Distribution of Global Probable Maximum Precipitation in a Changing Climate S Sarkar, R Maity In the Proceedings of the 16th Annual Meeting of Asia Oceania Geosciences …, 2019 | | 2019 |
Prof. Rajib MaityProfessor, Indian Institute of Technology KharagpurEmail verificata su civil.iitkgp.ac.in
