| A spatially explicit deep learning neural network model for the prediction of landslide susceptibility D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ... Catena 188, 104451, 2020 | 271 | 2020 |
| Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat, E Ahmadisharaf, ... Sustainability 11 (19), 5426, 2019 | 235 | 2019 |
| Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran M Bayat, M Ghorbanpour, R Zare, A Jaafari, BT Pham Computers and Electronics in Agriculture 164, 104929, 2019 | 89 | 2019 |
| Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania M Bayat, T Pukkala, M Namiranian, M Zobeiri European journal of forest research 132, 851-864, 2013 | 51 | 2013 |
| An assessment of height–diameter growth variation in an unmanaged Fagus orientalis-dominated forest CPA Bourque, M Bayat, C Zhang European Journal of Forest Research 138, 607-621, 2019 | 40 | 2019 |
| Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, ... Forests 11 (3), 324, 2020 | 36 | 2020 |
| Landscape variation in tree species richness in northern Iran forests CPA Bourque, M Bayat PloS one 10 (4), e0121172, 2015 | 35 | 2015 |
| Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest SK Hamidi, EK Zenner, M Bayat, A Fallah Annals of Forest Science 78, 1-16, 2021 | 34 | 2021 |
| Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of northern Iran SK Hamidi, A Weiskittel, M Bayat, A Fallah European Journal of Forest Research, 1-14, 2021 | 28 | 2021 |
| Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear … M Bayat, P Bettinger, M Hassani, S Heidari Forestry: An International Journal of Forest Research, 2021 | 26 | 2021 |
| GNSS use in forestry–A multi-national survey from Iran, Slovakia and southern USA P Bettinger, K Merry, M Bayat, J Tomaštík Computers and Electronics in Agriculture 158, 369-383, 2019 | 25 | 2019 |
| Determining growth increment and density of trees in forest, using permanent sample plots (case study: gorazbon district of kheyroud forest) M Bayat, M Namiranian, M Zobeiri, J Fathi Iranian Journal of Forest and Poplar Research 21 (3), 424-438, 2013 | 25 | 2013 |
| A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari Forests 12 (11), 1450, 2021 | 22 | 2021 |
| Assessing biotic and abiotic effects on biodiversity index using machine learning M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani Forests 12 (4), 461, 2021 | 21 | 2021 |
| A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran M Bayat, P Thanh Noi, R Zare, D Tien Bui Remote sensing 11 (14), 1680, 2019 | 21 | 2019 |
| Induction of plant defense machinery against nanomaterials exposure NK Moghadam, M Hatami, S Rezaei, M Bayat, BA Lajayer Advances in Phytonanotechnology, 241-263, 2019 | 19 | 2019 |
| Volume, height and wood production modeling for beech trees based on volume and tree number in nine years period in Kheyrud forests M Bayat, M Namiranian, M Zobeiri Iranian Journal of Natural Resources 67 (3), 423-435, 2014 | 17* | 2014 |
| Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran. Sustainability, 11 (19), 5426 S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat, E Ahmadisharaf, ... | 11 | 2019 |
| Machine learning for the estimation of diameter increment in mixed and uneven-aged forests A Salehnasab, M Bayat, M Namiranian, B Khaleghi, M Omid, ... Sustainability 14 (6), 3386, 2022 | 10 | 2022 |
| Evaluation and Comparison of Biodiversity Indexes of Tree Species in Hyrcanian Forests (Case Study: Kheyroud, Ramsar and Neka Forests) Mahmoud Bayat, Sahar Heidari Masteali Journal of Plant Research (Iranian Journal of Biology), 2020 | 10* | 2020 |
Sahar Heidari MastealiPhD. in Environmental assessment at University of Tehran在 ut.ac.ir 的电子邮件经过验证
