| Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS O Rahmati, A Nazari Samani, M Mahdavi, HR Pourghasemi, H Zeinivand Arabian Journal of Geosciences 8, 7059-7071, 2015 | 669 | 2015 |
| Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran O Rahmati, HR Pourghasemi, AM Melesse Catena 137, 360-372, 2016 | 618 | 2016 |
| Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran O Rahmati, HR Pourghasemi, H Zeinivand Geocarto International 31 (1), 42-70, 2016 | 595 | 2016 |
| Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS Y Razandi, HR Pourghasemi, NS Neisani, O Rahmati Earth Science Informatics 8, 867-883, 2015 | 556 | 2015 |
| Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis O Rahmati, H Zeinivand, M Besharat Geomatics, Natural Hazards and Risk 7 (3), 1000-1017, 2016 | 513 | 2016 |
| Prediction of the landslide susceptibility: Which algorithm, which precision? HR Pourghasemi, O Rahmati Catena 162, 177-192, 2018 | 456 | 2018 |
| Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques H Darabi, B Choubin, O Rahmati, AT Haghighi, B Pradhan, B Kløve Journal of hydrology 569, 142-154, 2019 | 412 | 2019 |
| A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination F Sajedi-Hosseini, A Malekian, B Choubin, O Rahmati, S Cipullo, ... Science of the total environment 644, 954-962, 2018 | 328 | 2018 |
| Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory TG Nachappa, ST Piralilou, K Gholamnia, O Ghorbanzadeh, O Rahmati, ... Journal of hydrology 590, 125275, 2020 | 327 | 2020 |
| Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest … H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ... Remote Sensing 12 (2), 266, 2020 | 311 | 2020 |
| River suspended sediment modelling using the CART model: A comparative study of machine learning techniques B Choubin, H Darabi, O Rahmati, F Sajedi-Hosseini, B Kløve Science of the Total Environment 615, 272-281, 2018 | 276 | 2018 |
| Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion O Rahmati, N Tahmasebipour, A Haghizadeh, HR Pourghasemi, ... Geomorphology 298, 118-137, 2017 | 274 | 2017 |
| Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison O Rahmati, A Haghizadeh, HR Pourghasemi, F Noormohamadi Natural hazards 82, 1231-1258, 2016 | 260 | 2016 |
| Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models A Azareh, O Rahmati, E Rafiei-Sardooi, JB Sankey, S Lee, H Shahabi, ... Science of the Total Environment 655, 684-696, 2019 | 226 | 2019 |
| Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models S Ghorbani Nejad, F Falah, M Daneshfar, A Haghizadeh, O Rahmati Geocarto international 32 (2), 167-187, 2017 | 223 | 2017 |
| Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework O Rahmati, N Tahmasebipour, A Haghizadeh, HR Pourghasemi, ... Science of the Total Environment 579, 913-927, 2017 | 215 | 2017 |
| Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models S Siahkamari, A Haghizadeh, H Zeinivand, N Tahmasebipour, O Rahmati Geocarto international 33 (9), 927-941, 2018 | 210 | 2018 |
| Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods O Rahmati, B Choubin, A Fathabadi, F Coulon, E Soltani, H Shahabi, ... Science of the Total Environment 688, 855-866, 2019 | 198 | 2019 |
| Artificial neural networks for flood susceptibility mapping in data-scarce urban areas F Falah, O Rahmati, M Rostami, E Ahmadisharaf, IN Daliakopoulos, ... Spatial modeling in GIS and R for Earth and Environmental Sciences, 323-336, 2019 | 193 | 2019 |
| Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing N Tahmassebipoor, O Rahmati, F Noormohamadi, S Lee Arabian Journal of Geosciences 9, 1-18, 2016 | 193 | 2016 |
