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Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

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Environmental Sciences
Iran
2026

D-Index & Metrics

Environmental Sciences

D-Index
98
Citations
34265
World Ranking
416
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Iran Leader Award
  • 2025 - Research.com Environmental Sciences in Iran Leader Award
  • 2023 - Research.com Environmental Sciences in Iran Leader Award
  • 2022 - Research.com Environmental Sciences in Iran Leader Award

Overview

Hamid Reza Pourghasemi is affiliated with Shiraz University in Iran and specializes in Environmental Science, with a focus on various subfields including Global and Planetary Change, Environmental Engineering, Management, Monitoring, Policy and Law, Ecology, and Soil Science. Their research encompasses a wide range of topics related to environmental hazards and resource management.

The main topics explored by Pourghasemi include:

  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Soil erosion and sediment transport
  • Groundwater and Watershed Analysis
  • Fire effects on ecosystems
  • Hydrology and Watershed Management Studies
  • Remote Sensing in Agriculture

Frequently publishing in scientific journals, Pourghasemi has contributed to several venues with multiple papers, notably:

  • Natural Hazards (17 publications)
  • Environmental Science and Pollution Research (12 publications)
  • Scientific Reports (10 publications)
  • Research Square (7 publications)
  • Environmental Earth Sciences (6 publications)

Some recent papers include:

  • "Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia" (2020) published in Geoscience Frontiers
  • "Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)" (2020) published in Journal of Hydrology
  • "Assessing and mapping multi-hazard risk susceptibility using a machine learning technique" (2020) published in Scientific Reports
  • "Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms" (2020) published in The Science of The Total Environment
  • "Flooding and its relationship with land cover change, population growth, and road density" (2021) published in Geoscience Frontiers

Collaborations have been established with a number of frequent coauthors, including:

  • John P. Tiefenbacher (33 joint works)
  • Narges Kariminejad (21 joint works)
  • Soheila Pouyan (19 joint works)
  • Marzieh Mokarram (18 joint works)
  • Mohsen Hosseinalizadeh (15 joint works)

Pourghasemi has authored several books published by notable publishers such as Springer Nature and GIScience and geo-environmental modelling. The titles include:

  • "Spatial Modeling in Forest Resources Management" (2020), Springer Nature
  • "Geospatial Technology for Environmental Hazards" (2021), Springer Nature
  • "Spatial Modelling of Flood Risk and Flood Hazards" (2022), GIScience and geo-environmental modelling

Best Publications

  • Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

    Hamid Reza Pourghasemi;Biswajeet Pradhan;Candan Gokceoglu

  • 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

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  • 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

  • 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;Kohki Yoshida

  • Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

    Omid Rahmati;Aliakbar Nazari Samani;Mohamad Mahdavi;Hamid Reza Pourghasemi

  • 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

  • Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

    Omid Rahmati;Hamid Reza Pourghasemi;Hossein Zeinivand

  • Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

    Hamid Reza Pourghasemi;Majid Mohammady;Biswajeet Pradhan

  • 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;Edris Maroufinia;Hamid Reza Pourghasemi

  • 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;Biswajeet Pradhan

  • 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;Omid Rahmati

  • Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models

    Majid Mohammady;Hamid Reza Pourghasemi;Biswajeet Pradhan

  • Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms.

    Seyed Vahid Razavi Termeh;Aiding Kornejady;Hamid Reza Pourghasemi;Saskia Keesstra;Saskia Keesstra

  • Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

    H. R. Pourghasemi;H. R. Moradi;S. M. Fatemi Aghda

  • Prediction of the landslide susceptibility: Which algorithm, which precision?

    Hamid Reza Pourghasemi;Omid Rahmati

  • Landslide susceptibility assessment in Lianhua County (China); a comparison between a random forest data mining technique and bivariate and multivariate statistical models

    Haoyuan Hong;Hamid Reza Pourghasemi;Zohre Sadat Pourtaghi

  • GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

    A. Jaafari;A. Najafi;H. R. Pourghasemi;J. Rezaeian

  • Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

    Binh Thai Pham;Dieu Tien Bui;Hamid Reza Pourghasemi;Prakash Indra

  • Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

    Ahmed Mohamed Youssef;Hamid Reza Pourghasemi

  • Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

    Chao Zhou;Chao Zhou;Kunlong Yin;Ying Cao;Bayes Ahmed

  • Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

    Hamid Reza Pourghasemi;Abbas Goli Jirandeh;Biswajeet Pradhan;Chong Xu

  • Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

    Wei Chen;Mahdi Panahi;Hamid Reza Pourghasemi

  • Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran

    Hamid Reza Pourghasemi;Biswajeet Pradhan;Candan Gokceoglu;Majid Mohammadi

  • Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

    Wei Chen;Hamid Reza Pourghasemi;Aiding Kornejady;Ning Zhang

  • Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

    Mohammad Zare;Hamid Reza Pourghasemi;Mahdi Vafakhah;Biswajeet Pradhan

  • Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

    Seyed Amir Naghibi;Hamid Reza Pourghasemi;Zohre Sadat Pourtaghi;Ashkan Rezaei

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
Saskia Keesstra
Saskia Keesstra Wageningen University & Research
M. Santosh
M. Santosh China University of Geosciences
Christian Conoscenti
Christian Conoscenti University of Palermo
Candan Gokceoglu
Candan Gokceoglu Cappadocia University
Thomas Blaschke
Thomas Blaschke University of Salzburg
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Artemi Cerdà
Artemi Cerdà University of Valencia

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