Hamid Reza Pourghasemi

Author

Also Known As

Bhunia, Gouri Sankar, H. R. Pourghasemi, HAMID REZA POURGHASEMI, HR. Pourghasemi, Hamid Pourghasemi, Hamid R. Pourghasemi, Hamid Reza Pourghasemi, Hamid reza Pourghasemi, HamidReza Pourghasemi, Hamidreza Pourghasemi

376

Publications

32.5K

Citations

H-Index

196

Concepts

All Affiliations

Shiraz University Tarbiat Modares University Gorgan University of Agricultural Sciences and Natural Resources Texas State University Universiti Putra Malaysia

About

Hamid Reza Pourghasemi is an author at Shiraz University specializing in engineering, geography, and hydrology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	86	178	27.4K
2	Management	5	5	362
3	Medicine	3	3	81
4	Business	1	1	69
5	Natural Sciences	1	1	27

Hamid Reza Pourghasemi

217

Publications

30.4K

Citations

H-Index

Page 1

	Year	Citations
Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran Hamid Reza Pourghasemi, Biswajeet Pradhan, Candan Gökçeoğlu Natural Hazards Geotechnical EngineeringHydrogeologyFuzzy Multi-criteria Decision-makingFuzzy LogicSusceptibility Mapping	2012	1K
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia Ahmed M. Youssef, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, Landslides Rock SlideEngineeringLandslide SusceptibilityRock SlopeGeomorphology	2015	749
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya Krishna Chandra Devkota, Amar Deep Regmi, Hamid Reza Pourghasemi, Natural Hazards Rock SlideEngineeringLandslide SusceptibilityLogistic Regression ModelsRock Slope	2012	739
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran Seyed Amir Naghibi, Hamid Reza Pourghasemi, Barnali Dixon Environmental Monitoring and Assessment HydrogeologyGeospatial MappingEngineeringRegression TreeRandom Forest Machine	2015	675
Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS Omid Rahmati, Aliakbar Nazari Samani, Mohammad Mahdavi, Arabian Journal of Geosciences HydrogeologyEngineeringGroundwater Potential MappingCivil EngineeringGeography	2014	624
Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran Omid Rahmati, Hamid Reza Pourghasemi, Hossein Zeinivand Geocarto International Environmental MonitoringEngineeringGeomorphologyFlood ControlHydrologic Hazard	2015	589
Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran Omid Rahmati, Hamid Reza Pourghasemi, Assefa M. Melesse CATENA HydrogeologyEngineeringHydrogeophysicsData ScienceWater Resources	2015	582
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS Yousef Razandi, Hamid Reza Pourghasemi, Najmeh Samani Neisani, Earth Science Informatics HydrogeologyEngineeringHydrogeophysicsWater ResourcesGroundwater Potential Mapping	2015	517
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya Amar Deep Regmi, Krishna Chandra Devkota, Kohki Yoshida, Arabian Journal of Geosciences GeophysicsRock SlideEngineeringRock SlopeGeomorphology	2013	511
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique Khabat Khosravi, Ebrahim Nohani, Maroufinia Edris, Natural Hazards Flash FloodMulti-criteria Decision-making TechniqueEngineeringHydrological DisasterWater Resources	2016	506

Page 1