| Rainfall induced landslide studies in Indian Himalayan region: a critical review A Dikshit, R Sarkar, B Pradhan, S Segoni, AM Alamri Applied Sciences 10 (7), 2466, 2020 | 273 | 2020 |
| Interpretable and explainable AI (XAI) model for spatial drought prediction A Dikshit, B Pradhan Science of the Total Environment 801, 149797, 2021 | 168 | 2021 |
| Pathways and challenges of the application of artificial intelligence to geohazards modelling A Dikshit, B Pradhan, AM Alamri Gondwana Research 100, 290-301, 2021 | 159 | 2021 |
| An improved SPEI drought forecasting approach using the long short-term memory neural network A Dikshit, B Pradhan, A Huete Journal of environmental management 283, 111979, 2021 | 148 | 2021 |
| Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model A Dikshit, B Pradhan, AM Alamri Science of The Total Environment 755, 142638, 2021 | 136 | 2021 |
| Artificial neural networks in drought prediction in the 21st century–A scientometric analysis A Dikshit, B Pradhan, M Santosh Applied Soft Computing 114, 108080, 2022 | 108 | 2022 |
| An explainable AI (XAI) model for landslide susceptibility modeling B Pradhan, A Dikshit, S Lee, H Kim Applied Soft Computing 142, 110324, 2023 | 96 | 2023 |
| Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model B Pradhan, S Lee, A Dikshit, H Kim Geoscience Frontiers 14 (6), 101625, 2023 | 91 | 2023 |
| Estimation of rainfall thresholds for landslide occurrences in Kalimpong, India A Dikshit, DN Satyam Innovative Infrastructure Solutions 3 (1), 24, 2018 | 81 | 2018 |
| Temporal hydrological drought index forecasting for New South Wales, Australia using machine learning approaches A Dikshit, B Pradhan, AM Alamri Atmosphere 11 (6), 585, 2020 | 77 | 2020 |
| Short-term spatio-temporal drought forecasting using random forests model at New South Wales, Australia A Dikshit, B Pradhan, AM Alamri Applied Sciences 10 (12), 4254, 2020 | 72 | 2020 |
| Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan SL Gariano, R Sarkar, A Dikshit, K Dorji, MT Brunetti, S Peruccacci, ... Bulletin of Engineering Geology and the Environment 78, 4325-4332, 2019 | 70 | 2019 |
| Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA AM Youssef, B Pradhan, A Dikshit, MM Al-Katheri, SS Matar, AM Mahdi Bulletin of Engineering Geology and the Environment 81 (4), 165, 2022 | 69 | 2022 |
| Estimation of rainfall-induced landslides using the TRIGRS model A Dikshit, N Satyam, B Pradhan Earth Systems and Environment 3, 575-584, 2019 | 66 | 2019 |
| Determination of rainfall thresholds for landslide prediction using an algorithm-based approach: Case study in the Darjeeling Himalayas, India TS Teja, A Dikshit, N Satyam Geosciences 9 (7), 302, 2019 | 66 | 2019 |
| Spatial landslide risk assessment at Phuentsholing, Bhutan A Dikshit, R Sarkar, B Pradhan, S Acharya, AM Alamri Geosciences 10 (4), 131, 2020 | 63 | 2020 |
| Estimating rainfall thresholds for landslide occurrence in the Bhutan Himalayas A Dikshit, R Sarkar, B Pradhan, S Acharya, K Dorji Water 11 (8), 1616, 2019 | 60 | 2019 |
| Early warning system using tilt sensors in Chibo, Kalimpong, Darjeeling Himalayas, India A Dikshit, DN Satyam, I Towhata Natural Hazards 94 (2), 727-741, 2018 | 50 | 2018 |
| Explainable AI in drought forecasting A Dikshit, B Pradhan Machine Learning with Applications 6, 100192, 2021 | 49 | 2021 |
| Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt AM Youssef, B Pradhan, A Dikshit, AM Mahdi Geocarto International 37 (26), 11088-11115, 2022 | 46 | 2022 |
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, AustraliaVerified email at uts.edu.au
