| Groundwater level prediction using machine learning algorithms in a drought-prone area QB Pham, M Kumar, F Di Nunno, A Elbeltagi, F Granata, ARMT Islam, ... Neural Computing and Applications 34 (13), 10751-10773, 2022 | 91 | 2022 |
| Prediction of combined terrestrial evapotranspiration index (CTEI) over large river basin based on machine learning approaches A Elbeltagi, N Kumari, JK Dharpure, A Mokhtar, K Alsafadi, M Kumar, ... Water 13 (4), 547, 2021 | 70 | 2021 |
| Drought indicator analysis and forecasting using data driven models: Case study in Jaisalmer, India A Elbeltagi, M Kumar, NL Kushwaha, CB Pande, P Ditthakit, ... Stochastic Environmental Research and Risk Assessment 37 (1), 113-131, 2022 | 48 | 2022 |
| Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions A Elbeltagi, NL Kushwaha, J Rajput, DK Vishwakarma, LC Kulimushi, ... Stochastic Environmental Research and Risk Assessment 36 (10), 3311-3334, 2022 | 44 | 2022 |
| Water spread mapping of multiple lakes using remote sensing and satellite data V Deoli, D Kumar, M Kumar, A Kuriqi, A Elbeltagi Arabian Journal of Geosciences 14, 1-15, 2021 | 44 | 2021 |
| Combination of limited meteorological data for predicting reference crop evapotranspiration using artificial neural network method A Elbeltagi, A Nagy, S Mohammed, CB Pande, M Kumar, SA Bhat, ... Agronomy 12 (2), 516, 2022 | 40 | 2022 |
| Forecasting of SPI and meteorological drought based on the artificial neural network and M5P model tree CB Pande, N Al-Ansari, NL Kushwaha, A Srivastava, R Noor, M Kumar, ... Land 11 (11), 2040, 2022 | 39 | 2022 |
| Superiority of hybrid soft computing models in daily suspended sediment estimation in highly dynamic rivers TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi Sustainability 13 (2), 542, 2021 | 39 | 2021 |
| Estimation of daily stage–discharge relationship by using data-driven techniques of a perennial river, India M Kumar, A Kumari, DP Kushwaha, P Kumar, A Malik, R Ali, A Kuriqi Sustainability 12 (19), 7877, 2020 | 39 | 2020 |
| Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform M Kumar, P Kumar, A Kumar, A Elbeltagi, A Kuriqi Applied Water Science 12 (5), 87, 2022 | 33 | 2022 |
| The superiority of data-driven techniques for estimation of daily pan evaporation M Kumar, A Kumari, D Kumar, N Al-Ansari, R Ali, R Kumar, A Kumar, ... Atmosphere 12 (6), 701, 2021 | 29 | 2021 |
| Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins TS Bajirao, P Kumar, M Kumar, A Elbeltagi, A Kuriqi Theoretical and Applied Climatology 145 (3), 1207-1231, 2021 | 27 | 2021 |
| Applications of data-driven models for daily discharge estimation based on different input combinations M Kumar, A Elbeltagi, CB Pande, AN Ahmed, MF Chow, QB Pham, ... Water Resources Management 36 (7), 2201-2221, 2022 | 15 | 2022 |
| Qualitative loss of maize under different bag storage modes A Kumari, V Kumar, A Amitabh, A Kumar, M Kumar, V Kashyap International Journal of Current Microbiology and Applied Sciences 6 (12 …, 2017 | 10 | 2017 |
| Applicability of machine learning techniques for multi-time step ahead runoff forecasting TS Bajirao, A Elbeltagi, M Kumar, QB Pham Acta Geophysica 70 (2), 757-776, 2022 | 8 | 2022 |
| Groundwater assessment: a case study in Patna and Gaya District of Bihar, India A Kumar, S Anand, M Kumar, R Chandra Int J Current Microbiol Appl Sci 6, 184-195, 2017 | 8 | 2017 |
| Soil moisture profile analysis using tensiometer under different discharge rates of drip emitter S Shekhar, M Kumar, A Kumari, SK Jain International Journal of Current Microbiology and Applied Sciences 6 (11 …, 2017 | 8 | 2017 |
| Annual maximum rainfall prediction using frequency analysis for Roorkee, Uttarakhand, India L Kaur, A ANVESHA, M Kumar, SL Verma, P Kumar MAUSAM 72 (2), 359-372, 2021 | 6 | 2021 |
| Modeling average grain velocity for rectangular channel using soft computing techniques A Kumari, A Kumar, M Kumar, A Kuriqi Water 14 (9), 1325, 2022 | 4 | 2022 |
| Effect of Sugar Mill Effluents on Ground Water Quality S Kumar, M Kumar, A Kumar, A Kumar, AK Singh Int. J. Curr. Microbiol. App. Sci 6 (12), 169-176, 2017 | 4 | 2017 |
