| Estimation of weathering indices using spectral reflectance over visible to mid-infrared region B Mohanty, A Gupta, BS Das Geoderma 266, 111-119, 2016 | 64 | 2016 |
| Propagation of structural uncertainty in watershed hydrologic models A Gupta, RS Govindaraju Journal of Hydrology 575, 66-81, 2019 | 45 | 2019 |
| Assessment of soil texture from spectral reflectance data of bulk soil samples and their dry-sieved aggregate size fractions HB Vasava, A Gupta, R Arora, BS Das Geoderma 337, 914-926, 2019 | 38 | 2019 |
| Local modeling approaches for estimating soil properties in selected Indian soils using diffuse reflectance data over visible to near-infrared region A Gupta, HB Vasava, BS Das, AK Choubey Geoderma 325, 59-71, 2018 | 28 | 2018 |
| Comparison of data mining approaches for estimating soil nutrient contents using diffuse reflectance spectroscopy MC Sarathjith, BS Das, SP Wani, KL Sahrawat, A Gupta Current Science, 1031-1037, 2016 | 19 | 2016 |
| Rapid and noninvasive assessment of Atterberg limits using diffuse reflectance spectroscopy A Gupta, BS Das, A Kumar, P Chakraborty, B Mohanty Soil Science Society of America Journal 80 (5), 1283-1295, 2016 | 17 | 2016 |
| Uncertainty quantification in watershed hydrology: Which method to use? A Gupta, RS Govindaraju Journal of Hydrology 616, 128749, 2023 | 12 | 2023 |
| Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment G Mallya, A Gupta, MM Hantush, RS Govindaraju Environmental Modelling & Software 131, 104735, 2020 | 11 | 2020 |
| An evaluation of a university-level, high school course taught to foster interest in civil engineering (evaluation) MR Broberg, S Khalifah, A Gupta, AJ Nafakh 2021 ASEE Virtual Annual Conference Content Access, 2021 | 9 | 2021 |
| The role of prior probabilities on parameter estimation in hydrological models A Gupta, RS Govindaraju, R Morbidelli, C Corradini Water Resources Research 58 (5), e2021WR031291, 2022 | 8 | 2022 |
| Changes in streamflow statistical structure across the United States due to recent climate change A Gupta, RWH Carroll, SA McKenna Journal of Hydrology 620, 129474, 2023 | 7 | 2023 |
| Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning A Gupta, MM Hantush, RS Govindaraju Science of the Total Environment 900, 165781, 2023 | 5 | 2023 |
| Deep Learning Models Filter Out Local Errors in Hydrological Data A Gupta, SA McKenna EarthArXiv, 2023 | 1 | 2023 |
| Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning A Gupta Journal of Hydrology: Regional Studies 51, 101607, 2024 | | 2024 |
| Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures A Gupta, M Hantush, R Govindaraju EarthArXiv, 2024 | | 2024 |
| Perceived barriers and advances in integrating earth observations with water resources modeling S Kumar, S Imen, VK Sridharan, A Gupta, W McDonald, JJ Ramirez-Avila, ... Remote Sensing Applications: Society and Environment 33, 101119, 2024 | | 2024 |
| On constructing limits-of-acceptability in watershed hydrology using decision trees A Gupta, RS Govindaraju, PC Li, V Merwade Advances in Water Resources 178, 104486, 2023 | | 2023 |
| Information Content of Hydrologic Data across Space: Streamflow Predictions using Machine Learning A Gupta EarthArXiv, 2022 | | 2022 |
| Data-Driven Approaches for Flood Observation, Model Validation, and Uncertainty Quantification I Online Poster Discussion S Dey, S Saksena, A Gupta Fall Meeting 2022, 2022 | | 2022 |
| Non-Informative Priors in Hydrology A Gupta, RS Govindaraju AGU Fall Meeting 2019, 10.1002/essoar.10501264.1, 2019 | | 2019 |
Bhabani S. Das, PhDAgricultural and Food Engineering Department, IIT KharagpurVerified email at agfe.iitkgp.ac.in
