| 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 | 203 | 2020 |
| A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset HAH Al-Najjar, B Pradhan, G Beydoun, R Sarkar, HJ Park, A Alamri Gondwana Research 123, 107-124, 2023 | 62 | 2023 |
| Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach SR Meena, O Ghorbanzadeh, CJ van Westen, TG Nachappa, T Blaschke, ... Landslides 18, 1937-1950, 2021 | 61 | 2021 |
| 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 | 61 | 2019 |
| Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India S Saha, A Saha, M Das, A Saha, R Sarkar, A Das Remote Sensing Applications: Society and Environment 22, 100507, 2021 | 57 | 2021 |
| Spatial landslide risk assessment at Phuentsholing, Bhutan A Dikshit, R Sarkar, B Pradhan, S Acharya, AM Alamri Geosciences 10 (4), 131, 2020 | 55 | 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 | 55 | 2019 |
| Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata TK Saha, S Pal, R Sarkar Ecological Informatics 62, 101272, 2021 | 54 | 2021 |
| Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests MI Sameen, R Sarkar, B Pradhan, D Drukpa, AM Alamri, HJ Park Computers & Geosciences 134, 104336, 2020 | 52 | 2020 |
| Effect of lime and stone dust in the geotechnical properties of black cotton soil A Mudgal, R Sarkar, AK Sahu Geomate Journal 7 (14), 1033-1039, 2014 | 46 | 2014 |
| High seasonal variation of atmospheric C and particle concentrations in Delhi, India P Mandal, T Saud, R Sarkar, A Mandal, SK Sharma, TK Mandal, ... Environmental chemistry letters 12, 225-230, 2014 | 44 | 2014 |
| Determination of the probabilities of landslide events—a case study of Bhutan R Sarkar, K Dorji Hydrology 6 (2), 52, 2019 | 40 | 2019 |
| Temporal probability assessment and its use in landslide susceptibility mapping for eastern Bhutan A Dikshit, R Sarkar, B Pradhan, R Jena, D Drukpa, AM Alamri Water 12 (1), 267, 2020 | 39 | 2020 |
| Seasonal variation and sources of aerosol pollution in Delhi, India P Mandal, R Sarkar, A Mandal, T Saud Environmental chemistry letters 12, 529-534, 2014 | 39 | 2014 |
| Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms S Saha, R Sarkar, J Roy, TK Hembram, S Acharya, G Thapa, D Drukpa Scientific reports 11 (1), 16374, 2021 | 36 | 2021 |
| Use of paper mill waste for brick making R Sarkar, R Kurar, AK Gupta, A Mudgal, V Gupta Cogent Engineering 4 (1), 1405768, 2017 | 36 | 2017 |
| Habitat vulnerability in slum areas of India–What we learnt from COVID-19? M Das, A Das, B Giri, R Sarkar, S Saha International Journal of Disaster Risk Reduction 65, 102553, 2021 | 31 | 2021 |
| A new integrated approach for landslide data balancing and spatial prediction based on generative adversarial networks (GAN) HAH Al-Najjar, B Pradhan, R Sarkar, G Beydoun, A Alamri Remote Sensing 13 (19), 4011, 2021 | 31 | 2021 |
| Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms S Saha, R Sarkar, G Thapa, J Roy Environmental Earth Sciences 80 (8), 295, 2021 | 25 | 2021 |
| Economic assessment of use of pond ash in pavements R Sarkar, AR Dawson International Journal of Pavement Engineering 18 (7), 578-594, 2017 | 25 | 2017 |
Abhirup DikshitPostDoctoral Researcher, University of New South Wales在 unsw.edu.au 的电子邮件经过验证
