| Land-use land-cover classification by machine learning classifiers for satellite observations—a review S Talukdar, P Singha, Shahfahad, S Mahato, S Pal, YA Liou, A Rahman Remote Sensing 12 (7), 1135, 2020 | 964* | 2020 |
| Flood susceptibility modelling using advanced ensemble machine learning models NTTL Abu Reza MdTowfiqul Islam, SwapanTalukdar, Susanta Mahato,Sonali Kundu ... Geoscience Frontiers, 1-17, 2020 | 425* | 2020 |
| Analyzing trend and forecasting of rainfall changes in india using non- parametrical and machine learning approaches B Praveen, S Talukdar, Shahfahad, S Mahato, J Mondal, P Sharma, ... Scientific Reports 10, 2020 | 355 | 2020 |
| Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India S Talukdar, P Singha, S Mahato, B Praveen, A Rahman Ecological Indicators 112, 106121, 2020 | 195 | 2020 |
| Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms S Talukdar, B Ghose, Shahfahad, R Salam, S Mahato, QB Pham, ... Stochastic Environmental Research and Risk Assessment, 2020 | 192 | 2020 |
| Analysing the trend of rainfall in Asir region of Saudi Arabia using the family of Mann-Kendall tests, innovative trend analysis, and detrended fluctuation analysis J Mallick, S Talukdar, M Alsubih, R Salam, M Ahmed, NB Kahla, ... Theoretical and Applied Climatology 143, 823-841, 2021 | 188 | 2021 |
| Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin, Bangladesh S Talukdar, KU Eibek, S Akhter, SK Ziaul, ARMT Islam, J Mallick Ecological indicators 126, 107612, 2021 | 141 | 2021 |
| Groundwater level prediction using machine learning algorithms in a drought-prone area QBPMKFDNAEFGARMTISTXCNANADT Anh Neural Computing and Applications, 1-23, 2022 | 134* | 2022 |
| Estimation of soil erosion risk in southern part of Syria by using RUSLE integrating geo informatics approach S Mohammed, K Alsafadi, S Talukdar, S Kiwan, S Hennawi, O Alshiehabi, ... Remote Sensing Applications Society and Environment, 2020 | 123 | 2020 |
| Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities Shahfahad, S Talukdar, M Rihan, HT Hang, S Bhaskaran, A Rahman Environment, Development and Sustainability, 1-29, 2021 | 106 | 2021 |
| Effects of damming on the hydrological regime of Punarbhaba river basin wetlands S Talukdar, S Pal Ecological Engineering 135, 61-74, 2019 | 106 | 2019 |
| Impact of dam on inundation regime of flood plain wetland of punarbhaba river basin of barind tract of Indo-Bangladesh S Talukdar, S Pal International Soil and Water Conservation Research 5 (2), 109-121, 2017 | 95 | 2017 |
| Application of frequency ratio and logistic regression models for assessing physical wetland vulnerability in Punarbhaba river basin of Indo-Bangladesh S Pal, S Talukdar Human and Ecological Risk Assessment: An International Journal 24 (5), 1291-1311, 2018 | 82 | 2018 |
| Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh ARMT Islam, S Talukdar, S Mahato, S Ziaul, KU Eibek, S Akhter, QB Pham, ... Environmental Science and Pollution Research 28, 34450-34471, 2021 | 72 | 2021 |
| Damming effect on habitat quality of riparian corridor RG Swades Pal, Swapan Talukdar Ecological Indicators 114, 106300, 2020 | 69 | 2020 |
| Field based Index of Flood Vulnerability (IFV): A new validation technique for flood susceptible models S Mahato, S Pal, S Talukdar, T Saha, P Mondal Geoscience Frontiers, 2020 | 69 | 2020 |
| Modeling flood plain wetland transformation in consequences of flow alteration in Punarbhaba river in India and Bangladesh S Talukdar, S Pal Journal of Cleaner Production 261, 120767, 2020 | 66 | 2020 |
| How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region TK Saha, S Pal, S Talukdar, S Debanshi, R Khatun, P Singha, I Mandal Journal of Environmental Management 297, 113344, 2021 | 62 | 2021 |
| Risk assessment of resources exposed to rainfall induced landslide with the development of GIS and RS based ensemble metaheuristic machine learning algorithms J Mallick, S Alqadhi, S Talukdar, M AlSubih, M Ahmed, RA Khan, ... Sustainability 13 (2), 457, 2021 | 62 | 2021 |
| Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural … S Talukdar, MW Naikoo, J Mallick, B Praveen, P Sharma, ARMT Islam, ... Agricultural Systems 196, 103343, 2022 | 60 | 2022 |
Atiqur RahmanProfessor, Department of Geography, Jamia Millia Islamia, New Delhi-25Verified email at jmi.ac.in