| Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes AL Collins, M Blackwell, P Boeckx, CA Chivers, M Emelko, O Evrard, ... Journal of Soils and Sediments 20, 4160-4193, 2020 | 193 | 2020 |
| Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling H Gholami, A Mohamadifar, AL Collins Atmospheric Research 233, 104716, 2020 | 107 | 2020 |
| Machine-learning algorithms for predicting land susceptibility to dust emissions: The case of the Jazmurian Basin, Iran H Gholami, A Mohamadifar, A Sorooshian, JD Jansen Atmospheric pollution research 11 (8), 1303-1315, 2020 | 97 | 2020 |
| 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 | 65 | 2020 |
| Mapping wind erosion hazard with regression-based machine learning algorithms H Gholami, A Mohamadifar, D Tien Bui, A Collins Scientific Reports, 2020 | 63 | 2020 |
| Assessment of the interpretability of data mining for the spatial modelling of water erosion using game theory A Mohammadifar, H Gholami, JR Comino, AL Collins Catena 200, 105178, 2021 | 62 | 2021 |
| Aeolian sediment fingerprinting using a Bayesian mixing model H Gholami, M Telfer, W Blake, A Fathabadi Earth Surface Processes and Landforms, 2017 | 61 | 2017 |
| Spatio-temporal distribution of Quaternary loess across Central Asia Y Song, Y Li, L Cheng, X Zong, S Kang, A Ghafarpour, X Li, H Sun, X Fu, ... Palaeogeography, Palaeoclimatology, Palaeoecology 567, 110279, 2021 | 59 | 2021 |
| Desertification of Iran in the early twenty-first century: assessment using climate and vegetation indices H Eskandari Dameneh, H Gholami, MW Telfer, JR Comino, AL Collins, ... Scientific Reports 11 (1), 20548, 2021 | 57 | 2021 |
| Using GLUE to pull apart the provenance of atmospheric dust AF Reza Dahmardeh Behrooz, Hamid Gholami, Matt W. Telfer, John D. Jansen Aeolian Research, 2019 | 55 | 2019 |
| Using the Boruta algorithm and deep learning models for mapping land susceptibility to atmospheric dust emissions in Iran H Gholami, A Mohammadifar, S Golzari, DG Kaskaoutis, AL Collins Aeolian Research 50, 100682, 2021 | 54 | 2021 |
| 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 | 53 | 2020 |
| Improving water management in date palms using economic value of water footprint and virtual water trade concepts in Iran O Bazrafshan, H Zamani, HR Etedali, ZG Moshizi, M Shamili, ... Agricultural Water Management 229, 105941, 2020 | 50 | 2020 |
| Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system H Gholami, A Mohammadifar, H Malakooti, Y Esmaeilpour, S Golzari, ... Atmospheric Pollution Research 12 (9), 101173, 2021 | 41 | 2021 |
| Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion H Gholami, A Mohamadifar, S Golzari, Y Song, B Pradhan Science of The Total Environment, 2023 | 40 | 2023 |
| 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 | 38 | 2019 |
| Detection and prediction of lake degradation using landscape metrics and remote sensing dataset A Azareh, ER Sardooi, H Gholami, A Mosavi, A Shahdadi, S Barkhori Environmental Science and Pollution Research 28, 27283-27298, 2021 | 36 | 2021 |
| 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 | 35 | 2019 |
| Predicting of dust storm source by combining remote sensing, statistic-based predictive models and game theory in the Sistan watershed, southwestern Asia M Boroughani, S Pourhashemi, H Gholami, DG Kaskaoutis Journal of Arid Land 13 (11), 1103-1121, 2021 | 34 | 2021 |
| A new integrated data mining model to map spatial variation in the susceptibility of land to act as a source of aeolian dust H Gholami, A Mohammadifar, HR Pourghasemi, AL Collins Environmental Science and Pollution Research 27, 42022-42039, 2020 | 32 | 2020 |
Aliakbar mohamadifarphd確認したメール アドレス: hormozgan.ac.ir