Hamid Reza Pourghasemi
Title
Cited by
Cited by
Year
Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
HR Pourghasemi, B Pradhan, C Gokceoglu
Natural hazards 63 (2), 965-996, 2012
5152012
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in …
KC Devkota, AD Regmi, HR Pourghasemi, K Yoshida, B Pradhan, IC Ryu, ...
Natural hazards 65 (1), 135-165, 2013
3972013
Landslide susceptibility mapping at Golestan Province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models
M Mohammady, HR Pourghasemi, B Pradhan
Journal of Asian Earth Sciences 61, 221-236, 2012
2932012
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
HR Pourghasemi, M Mohammady, B Pradhan
Catena 97, 71-84, 2012
2812012
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance …
AM Youssef, HR Pourghasemi, ZS Pourtaghi, MM Al-Katheeri
Landslides 13 (5), 839-856, 2016
2512016
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
AD Regmi, KC Devkota, K Yoshida, B Pradhan, HR Pourghasemi, ...
Arabian Journal of Geosciences 7 (2), 725-742, 2014
2492014
Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances
HR Pourghasemi, HR Moradi, SMF Aghda
Natural hazards 69 (1), 749-779, 2013
2212013
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function …
M Zare, HR Pourghasemi, M Vafakhah, B Pradhan
Arabian Journal of Geosciences 6 (8), 2873-2888, 2013
2192013
Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran
HR Pourghasemi, B Pradhan, C Gokceoglu, M Mohammadi, HR Moradi
Arabian Journal of Geosciences 6 (7), 2351-2365, 2013
2112013
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
SA Naghibi, HR Pourghasemi, B Dixon
Environmental monitoring and assessment 188 (1), 44, 2016
2082016
GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran
A Jaafari, A Najafi, HR Pourghasemi, J Rezaeian, A Sattarian
International Journal of Environmental Science and Technology 11 (4), 909-926, 2014
1982014
Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran
HR Pourghasemi, AG Jirandeh, B Pradhan, C Xu, C Gokceoglu
Journal of Earth System Science 122 (2), 349-369, 2013
1952013
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran
O Rahmati, HR Pourghasemi, AM Melesse
Catena 137, 360-372, 2016
1922016
Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
O Rahmati, AN Samani, M Mahdavi, HR Pourghasemi, H Zeinivand
Arabian Journal of Geosciences 8 (9), 7059-7071, 2015
1762015
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural …
BT Pham, D Tien Bui, HR Pourghasemi, P Indra, MB Dholakia
Theor Appl Climatol 122 (3-4), 1-19, 2017
1552017
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS
Y Razandi, HR Pourghasemi, NS Neisani, O Rahmati
Earth Science Informatics 8 (4), 867-883, 2015
1492015
A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS
HR Pourghasemi, B Pradhan, C Gokceoglu, KD Moezzi
Geomatics, Natural Hazards and Risk 4 (2), 93-118, 2013
1482013
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models
H Hong, HR Pourghasemi, ZS Pourtaghi
Geomorphology 259, 105-118, 2016
1432016
GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran
ZS Pourtaghi, HR Pourghasemi
Hydrogeology Journal 22 (3), 643-662, 2014
1402014
GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)
HR Pourghasemi, HR Moradi, SMF Aghda, C Gokceoglu, B Pradhan
Arabian Journal of Geosciences 7 (5), 1857-1878, 2014
1402014
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