| 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 | 258 | 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 | 224 | 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 | 83 | 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 | 53 | 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 | 37 | 2019 |
| Landscape variation in tree species richness in northern Iran forests CPA Bourque, M Bayat PloS one 10 (4), e0121172, 2015 | 35 | 2015 |
| 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 | 33 | 2020 |
| 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 | 31 | 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 |
| 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 | 26 | 2013 |
| 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 | 25 | 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 | 24 | 2019 |
| 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 |
| 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 | 20 | 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 | 20 | 2021 |
| 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 |
| 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 | 11* | 2020 |
| Applicability of artificial neural network for estimating the forest growing stock Mahmoud Bayat, Manouchehr Namiranian, Mahmoud Omid, Arman Rashidi, Sajjad Babaei Iranian Journal of Forest and Poplar Research 24 (2), 2016 | 11* | 2016 |
| 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 |
Sahar Heidari MastealiPhD. in Environmental assessment at University of TehranVerified email at ut.ac.ir
