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Farzin Shabani | Researchclopedia

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Farzin Shabani

Qatar University ORCID

112

Works

5,288

Citations

36

h-index

72

i10-index

Research Topics

Species Distribution and Climate Change Ecology and Vegetation Dynamics Studies Plant and animal studies

Affiliations

Petroleum University of Technology2014–2014

Flinders University2018–2022

Isfahan University of Technology2020–2020

University of New England2011–2014

Swiss Federal Institute for Forest, Snow and Landscape Research2020–2020

Top Works

Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques

Mahyat Shafapour Tehrany,Simon Jones,et al.

2018376 citations

Forest Insect Ecology and Management

Insect-Plant Interactions and Control

Biodegradation of Low-Density Polyethylene (LDPE) by Mixed Culture of Lysinibacillus xylanilyticus and Aspergillus niger in Soil

Atefeh Esmaeili,Ahmad Ali Pourbabaee,et al.

2013347 citations

A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area

Farzin Shabani,Lalit Kumar,et al.

2016302 citations

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

Mahyat Shafapour Tehrany,Farzin Shabani,et al.

2017289 citations

Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods

Mahyat Shafapour Tehrany,Lalit Kumar,et al.

2018226 citations

Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX)

Nadiezhda Ramírez‐Cabral,Lalit Kumar,et al.

2017202 citations

A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data

Mahyat Shafapour Tehrany,Simon Jones,et al.

2018194 citations

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

Bahareh Kalantar,Naonori Ueda,et al.

2020176 citations

Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping

Hamid Reza Pourghasemi,Aiding Kornejady,et al.

2019167 citations