| Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model HS Moghadam, M Helbich Applied Geography 40, 140-149, 2013 | 422 | 2013 |
| Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping H Shafizadeh-Moghadam, R Valavi, H Shahabi, K Chapi, A Shirzadi Journal of environmental management 217, 1-11, 2018 | 295 | 2018 |
| Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth H Shafizadeh-Moghadam, A Asghari, A Tayyebi, M Taleai Computers, Environment and Urban Systems 64, 297-308, 2017 | 140 | 2017 |
| Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai H Shafizadeh-Moghadam, M Helbich International Journal of Applied Earth Observation and Geoinformation 35 …, 2015 | 132 | 2015 |
| Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees R Abedi, R Costache, H Shafizadeh-Moghadam, QB Pham Geocarto International 37 (19), 5479-5496, 2022 | 130 | 2022 |
| A neural network and landscape metrics to propose a flexible urban growth boundary: A case study S Chakraborti, DN Das, B Mondal, H Shafizadeh-Moghadam, Y Feng Ecological indicators 93, 952-965, 2018 | 101 | 2018 |
| Exploring the driving forces and digital mapping of soil organic carbon using remote sensing and soil texture N Hamzehpour, H Shafizadeh-Moghadam, R Valavi Catena 182, 104141, 2019 | 78 | 2019 |
| Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran A Tayyebi, H Shafizadeh-Moghadam, AH Tayyebi Land Use Policy 71, 459-469, 2018 | 74 | 2018 |
| Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata H Shafizadeh-Moghadam, A Asghari, M Taleai, M Helbich, A Tayyebi GIScience & Remote Sensing 54 (5), 639-656, 2017 | 71 | 2017 |
| Google Earth Engine for large-scale land use and land cover mapping: An object-based classification approach using spectral, textural and topographical factors H Shafizadeh-Moghadam, M Khazaei, SK Alavipanah, Q Weng GIScience & Remote Sensing 58 (6), 914-928, 2021 | 65 | 2021 |
| Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth H Shafizadeh-Moghadam, A Tayyebi, M Ahmadlou, MR Delavar, ... Computers, Environment and Urban Systems 65, 28-40, 2017 | 64 | 2017 |
| Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran H Shafizadeh-Moghadam, Q Weng, H Liu, R Valavi GIScience & remote sensing 57 (4), 483-496, 2020 | 48 | 2020 |
| GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia H Shafizadeh-Moghadam, M Minaei, Y Feng, RG Pontius Jr International Journal of Applied Earth Observation and Geoinformation 78 …, 2019 | 48 | 2019 |
| Integrating a forward feature selection algorithm, random forest, and cellular automata to extrapolate urban growth in the Tehran-Karaj Region of Iran H Shafizadeh-Moghadam, M Minaei, RG Pontius Jr, A Asghari, ... Computers, Environment and Urban Systems 87, 101595, 2021 | 47 | 2021 |
| Improving spatial accuracy of urban growth simulation models using ensemble forecasting approaches H Shafizadeh-Moghadam Computers, Environment and Urban Systems 76, 91-100, 2019 | 46 | 2019 |
| Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation H Shafizadeh-Moghadam, A Tayyebi, M Helbich Environmental monitoring and assessment 189, 1-14, 2017 | 41 | 2017 |
| Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study H Shafizadeh-Moghadam, J Hagenauer, M Farajzadeh, M Helbich International Journal of Geographical Information Science 29 (4), 606-623, 2015 | 41 | 2015 |
| Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran H Shafizadeh-Moghadam, M Minaei, H Shahabi, J Hagenauer Earth Science Informatics, 1-17, 2019 | 40 | 2019 |
| Modelling climate change effects on Zagros forests in Iran using individual and ensemble forecasting approaches R Valavi, H Shafizadeh-Moghadam, AA Matkan, A Shakiba, B Mirbagheri, ... Theoretical and Applied Climatology 137, 1015-1025, 2019 | 34 | 2019 |
| Fully component selection: An efficient combination of feature selection and principal component analysis to increase model performance H Shafizadeh-Moghadam Expert Systems with Applications 186, 115678, 2021 | 33 | 2021 |
Marco HelbichUtrecht UniversityVerified email at uu.nl
