| Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis R Dutta, K Chanda, R Maity Renewable Energy 188, 819-829, 2022 | 76 | 2022 |
| 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 | 72 | 2013 |
| Meteorological drought quantification with standardized precipitation anomaly index for the regions with strongly seasonal and periodic precipitation K Chanda, R Maity Journal of Hydrologic Engineering 20 (12), 06015007, 2015 | 54 | 2015 |
| Spatiotemporal variation of long‐term drought propensity through reliability‐resilience‐vulnerability based D rought M anagement I ndex K Chanda, R Maity, A Sharma, R Mehrotra Water Resources Research 50 (10), 7662-7676, 2014 | 46 | 2014 |
| Spatiotemporal analysis of extreme indices derived from daily precipitation and temperature for climate change detection over India S Kumar, K Chanda, S Pasupuleti Theoretical and Applied Climatology 140, 343-357, 2020 | 31 | 2020 |
| Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers P Das, K Chanda Journal of Hydrology 591, 125563, 2020 | 30 | 2020 |
| 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 | 21 | 2021 |
| Do CMIP5 models hint at a warmer and wetter India in the twenty-first century? R Maity, A Aggrawal, K Chanda Journal of Water and Climate Change, jwc2015126, 2015 | 17 | 2015 |
| Machine learning-based rainfall forecasting with multiple non-linear feature selection algorithms P Das, DA Sachindra, K Chanda Water Resources Management 36 (15), 6043-6071, 2022 | 14 | 2022 |
| Assessment of trend in global drought propensity in the twenty-first century using drought management index K Chanda, R Maity Water Resources Management 31, 1209-1225, 2017 | 12 | 2017 |
| Uncovering global climate fields causing local precipitation extremes K Chanda, R Maity Hydrological Sciences Journal 61 (7), 1227-1237, 2016 | 12 | 2016 |
| Contrasting features of hydroclimatic teleconnections and the predictability of seasonal rainfall over east and west Japan R Maity, K Chanda, R Dutta, JV Ratnam, M Nonaka, S Behera Meteorological Applications 27 (1), e1881, 2020 | 8 | 2020 |
| Performance of machine learning algorithms for multi-step ahead prediction of reference evapotranspiration across various agro-climatic zones and cropping seasons N Mandal, K Chanda Journal of Hydrology 620, 129418, 2023 | 6 | 2023 |
| Pre-and post-1975 scaling relationships of monsoon and non-monsoon hourly precipitation extremes with coincident temperature across urban India S Kumar, K Chanda, S Pasupuleti Journal of Hydrology 612, 128180, 2022 | 6 | 2022 |
| Global Climate Pattern Behind Hydrological Extremes in Central India K Chanda, R Maity Climate Change Impacts: Select Proceedings of ICWEES-2016, 71-89, 2018 | 5 | 2018 |
| A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow P Das, K Chanda Stochastic Environmental Research and Risk Assessment 37 (4), 1535-1556, 2023 | 3 | 2023 |
| Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index P Mahmoudi, R Maity, SM Amir Jahanshahi, K Chanda International Journal of Climatology 42 (8), 4147-4163, 2022 | 3 | 2022 |
| Potential of genetic programming in hydroclimatic prediction of droughts: An Indian perspective R Maity, K Chanda Handbook of genetic programming applications, 381-398, 2015 | 3 | 2015 |
| Association of tropical daily precipitation extremes with physical covariates in a changing climate S Kumar, K Chanda, S Pasupuleti Stochastic Environmental Research and Risk Assessment 37 (8), 3021-3039, 2023 | 2 | 2023 |
| Performance of two-step technique for gap-filling and reconstruction of basin-scale Terrestrial Water Storage Anomalies (TWSA) N Mandal, P Das, K Chanda EGU24, 2024 | | 2024 |
Prof. Rajib MaityIndian Institute of Technology KharagpurE-mail megerősítve itt: civil.iitkgp.ac.in
