| Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India S Jha, J Das, A Sharma, B Hazra, MK Goyal Global and planetary change 176, 23-35, 2019 | 38 | 2019 |
| Assessment of ecosystem resilience to hydroclimatic disturbances in India A Sharma, MK Goyal Global change biology 24 (2), e432-e441, 2018 | 36 | 2018 |
| Assessment of the impacts of climatic variability and anthropogenic stress on hydrologic resilience to warming shifts in Peninsular India J Sinha, A Sharma, M Khan, MK Goyal Scientific reports 8 (1), 1-14, 2018 | 25 | 2018 |
| District-level assessment of the ecohydrological resilience to hydroclimatic disturbances and its controlling factors in India A Sharma, MK Goyal Journal of Hydrology 564, 1048-1057, 2018 | 23 | 2018 |
| Assessment of the changes in precipitation and temperature in Teesta River basin in Indian Himalayan Region under climate change A Sharma, MK Goyal Atmospheric Research 231, 104670, 2020 | 22 | 2020 |
| A fuzzy c-means approach regionalization for analysis of meteorological drought homogeneous regions in western India MK Goyal, A Sharma Natural Hazards 84 (3), 1831-1847, 2016 | 21 | 2016 |
| Assessment of drought trend and variability in India using wavelet transform A Sharma, MK Goyal Hydrological Sciences Journal 65 (9), 1539-1554, 2020 | 20 | 2020 |
| Comparative assessment of SWAT model performance in two distinct catchments under various DEM scenarios of varying resolution, sources and resampling methods MK Goyal, VK Panchariya, A Sharma, V Singh Water resources management 32 (2), 805-825, 2018 | 19 | 2018 |
| Projection of hydro-climatological changes over eastern Himalayan catchment by the evaluation of RegCM4 RCM and CMIP5 GCM models V Singh, A Sharma, MK Goyal Hydrology Research 50 (1), 117-137, 2019 | 15 | 2019 |
| Bayesian network model for monthly rainfall forecast A Sharma, MK Goyal 2015 IEEE International Conference on Research in Computational Intelligence …, 2015 | 15 | 2015 |
| Prediction of flow rate of karstic springs using support vector machines MK Goyal, A Sharma, KL Katsifarakis Hydrological Sciences Journal 62 (13), 2175-2186, 2017 | 9 | 2017 |
| Bayesian network for monthly rainfall forecast: a comparison of K2 and MCMC algorithm A Sharma, MK Goyal International Journal of Computers and Applications 38 (4), 199-206, 2016 | 8 | 2016 |
| Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India M Khan, A Sharma, MK Goyal Hydrological sciences journal 64 (4), 405-419, 2019 | 7 | 2019 |
| A comparison of three soft computing techniques, Bayesian regression, support vector regression, and wavelet regression, for monthly rainfall forecast A Sharma, MK Goyal Journal of Intelligent Systems 26 (4), 641-655, 2017 | 7 | 2017 |
| Transferring Hydrologic Data Across Continents–Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions K Ma, D Feng, K Lawson, WP Tsai, C Liang, X Huang, A Sharma, C Shen Water Resources Research 57 (5), e2020WR028600, 2021 | 6 | 2021 |
| Remote Sensing and GIS Applications in Sustainability MK Goyal, A Sharma, RY Surampalli Sustainability: Fundamentals and Applications, 605-626, 2020 | 3 | 2020 |
| Regionalization of drought prediction MK Goyal, A Sharma Handbook of Drought and Water Scarcity, 253-278, 2017 | 3 | 2017 |
| Transferring hydrologic data across continents--leveraging US data to improve hydrologic prediction in other countries K Ma, D Feng, K Lawson, WP Tsai, C Liang, X Huang, A Sharma, C Shen | 2 | 2020 |
| Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale S Dubey, A Sharma, VK Panchariya, MK Goyal, RY Surampalli, TC Zhang Ecological Indicators 127, 107768, 2021 | 1 | 2021 |
| Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects JP Che-Castaldo, R Cousin, S Daryanto, G Deng, MLE Feng, RK Gupta, ... Environment Systems and Decisions, 1-22, 2021 | 1 | 2021 |
