| 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 | 200 | 2019 |
| Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models R Taghizadeh-Mehrjardi, K Schmidt, N Toomanian, B Heung, T Behrens, ... Geoderma 383, 114793, 2021 | 101 | 2021 |
| Mapping the spatial sources of atmospheric dust using GLUE and Monte Carlo simulation H Gholami, S Rahimi, A Fathabadi, S Habibi, AL Collins Science of the Total Environment 723, 138090, 2020 | 66 | 2020 |
| Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques H Fathizad, MAH Ardakani, B Heung, H Sodaiezadeh, A Rahmani, ... Ecological Indicators 118, 106736, 2020 | 63 | 2020 |
| Aeolian sediment fingerprinting using a Bayesian mixing model H Gholami, MW Telfer, WH Blake, A Fathabadi Earth Surface Processes and Landforms 42 (14), 2365-2376, 2017 | 61 | 2017 |
| Source fingerprinting loess deposits in Central Asia using elemental geochemistry with Bayesian and GLUE models Y Li, H Gholami, Y Song, A Fathabadi, H Malakooti, AL Collins Catena 194, 104808, 2020 | 52 | 2020 |
| Using GLUE to pull apart the provenance of atmospheric dust RD Behrooz, H Gholami, MW Telfer, JD Jansen, A Fathabadi Aeolian research 37, 1-13, 2019 | 52 | 2019 |
| Monte Carlo fingerprinting of the terrestrial sources of different particle size fractions of coastal sediment deposits using geochemical tracers: some lessons for the user … H Gholami, E Jafari TakhtiNajad, AL Collins, A Fathabadi Environmental Science and Pollution Research 26 (13), 13560-13579, 2019 | 41 | 2019 |
| Comparison of Bayesian, k-Nearest Neighbor and Gaussian process regression methods for quantifying uncertainty of suspended sediment concentration prediction A Fathabadi, SM Seyedian, A Malekian Science of the Total Environment 818, 151760, 2022 | 40 | 2022 |
| Fingerprinting sources of reservoir sediment via two modelling approaches S Habibi, H Gholami, A Fathabadi, JD Jansen Science of the total environment 663, 78-96, 2019 | 34 | 2019 |
| Diverse sources of aeolian sediment revealed in an arid landscape in southeastern Iran using a modified Bayesian un-mixing model H Gholami, MD Kordestani, J Li, MW Telfer, A Fathabadi Aeolian Research 41, 100547, 2019 | 32 | 2019 |
| Drought forecasting using neural network and stochastic models A Fathabadi, H Gholami, A Salajeghe, H Azanivand, H Khosravi Advances in Natural and Applied Sciences 3 (2), 137-146, 2009 | 26 | 2009 |
| Investigation on the efficiency of neuro-fuzzy method and statistical models in simulation of rainfall-runoff process. A Salajegheh, A Fathabadi, M Mahdavi | 22 | 2009 |
| Land use optimization through bridging multiobjective optimization and multicriteria decision‐making models (case study: Tilabad Watershed, Golestan Province, Iran) V Sheikh, H Salmani, A Salman Mahiny, M Ownegh, A Fathabadi Natural Resource Modeling 34 (2), e12301, 2021 | 18 | 2021 |
| A wrapper feature selection approach for efficient modelling of gully erosion susceptibility mapping H Rouhani, A Fathabadi, J Baartman Progress in Physical Geography: Earth and Environment 45 (4), 580-599, 2021 | 13 | 2021 |
| Fingerprinting the spatial sources of fine-grained sediment deposited in the bed of the Mehran River, southern Iran A Fatahi, H Gholami, Y Esmaeilpour, A Fathabadi Scientific Reports 12 (1), 3880, 2022 | 12 | 2022 |
| Quantifying uncertainty of sediment fingerprinting mixing models using frequentist and Bayesian methods: A case study from the Iranian loess Plateau A Fathabadi, JD Jansen Catena 217, 106474, 2022 | 11 | 2022 |
| Estimation of the suspended sediment loud of Karaj River using fuzzy logic and neural networks. A Salajegheh, A Fathabadi | 11 | 2009 |
| Using GLUE to pull apart the provenance of atmospheric dust. Aeol Res 37: 1–13 RD Behrooz, H Gholami, MW Telfer, JD Jansen, A Fathabadi | 5 | 2019 |
| Using GLUE to pull apart the provenance of atmospheric dust. Aeolian Res 37: 1–13 R Dahmardeh Behrooz, H Gholami, MW Telfer, JD Jansen, A Fathabadi | 5 | 2019 |
