Reza Ghezelbash

About Reza Ghezelbash

Reza Ghezelbash, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Amirkabir University of Technology, specializes in the field of GIS, Geochemical explorations, Mineral prospectivity modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comprehensive evaluation of OPTICS, GMM and K-means clustering methodologies for geochemical anomaly detection connected with sample catchment basins

A data-driven VIKOR procedure for predictive modeling of porphyry copper prospectivity in SE Iran

A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran

GWOKM: A novel hybrid optimization algorithm for geochemical anomaly detection based on Grey wolf optimizer and K-means clustering

Developing a spatio-temporal interactions model for car crashes using a novel data-driven AHP-TOPSIS

Intelligent mapping of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches

Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran

Recognizing geochemical anomalies associated with mineral resources using singularity analysis and random forest models in the Torud-Chahshirin Belt, Northeast Iran

Reza Ghezelbash Information

University

Position

Ph.D. Candidate

Citations(all)

765

Citations(since 2020)

744

Cited By

218

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Amirkabir University of Technology

Google Scholar

View Google Scholar Profile

Reza Ghezelbash Skills & Research Interests

GIS

Geochemical explorations

Mineral prospectivity modeling

Top articles of Reza Ghezelbash

Title

Journal

Author(s)

Publication Date

A comprehensive evaluation of OPTICS, GMM and K-means clustering methodologies for geochemical anomaly detection connected with sample catchment basins

Geochemistry

Mahsa Hajihosseinlou

Abbas Maghsoudi

Reza Ghezelbash

2024/2/23

A data-driven VIKOR procedure for predictive modeling of porphyry copper prospectivity in SE Iran

Journal of Geochemical Exploration

Sarina Akbari

Hamidreza Ramazi

Reza Ghezelbash

2024/2/6

A comparative study of the XGBoost ensemble learning and multilayer perceptron in mineral prospectivity modeling: a case study of the Torud-Chahshirin belt, NE Iran

Earth Science Informatics

Amirreza Bigdeli

Abbas Maghsoudi

Reza Ghezelbash

2024/2

GWOKM: A novel hybrid optimization algorithm for geochemical anomaly detection based on Grey wolf optimizer and K-means clustering

Geochemistry

Mehrdad Daviran

Reza Ghezelbash

Abbas Maghsoudi

2024/4/1

Developing a spatio-temporal interactions model for car crashes using a novel data-driven AHP-TOPSIS

Applied Geography,

Somaye Ghezelbash

Reza Ghezelbash

Mohsen Kalantari

2024/1

Intelligent mapping of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches

Journal of Geochemical Exploration

Mahsa Hajihosseinlou

Abbas Maghsoudi

Reza Ghezelbash

2024/3/1

Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran

Expert Systems with Applications

Mahsa Hajihosseinlou

Abbas Maghsoudi

Reza Ghezelbash

2024/3/1

Recognizing geochemical anomalies associated with mineral resources using singularity analysis and random forest models in the Torud-Chahshirin Belt, Northeast Iran

Minerals

Amirreza Bigdeli

Abbas Maghsoudi

Reza Ghezelbash

2023/10/31

Genetic algorithm to optimize the SVM and K-means algorithms for mapping of mineral prospectivity

Neural Computing and Applications

Reza Ghezelbash

Abbas Maghsoudi

Mehdi Shamekhi

Biswajeet Pradhan

Mehrdad Daviran

2023/1

Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping

Earth Science Informatics

Mehrdad Daviran

Reza Ghezelbash

Mohammad Niknezhad

Abbas Maghsoudi

Hessam Ghaeminejad

2023/9

Using fractal and multifractal methods to reveal geophysical anomalies in Sardouyeh District, Kerman, Iran

Earth Science Informatics

Sarina Akbari

Hamidreza Ramazi

Reza Ghezelbash

2023/9

Incorporating the genetic and firefly optimization algorithms into K-means clustering method for detection of porphyry and skarn Cu-related geochemical footprints in Baft …

Applied Geochemistry

Reza Ghezelbash

Mehrdad Daviran

Abbas Maghsoudi

Hessam Ghaeminejad

Mohammad Niknezhad

2023/1/1

A novel scheme for mapping of MVT-type Pb–Zn prospectivity: LightGBM, a highly efficient gradient boosting decision tree machine learning algorithm

Natural Resources Research

Mahsa Hajihosseinlou

Abbas Maghsoudi

Reza Ghezelbash

2023/12

Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm

International Journal of Environmental Science and Technology

M Daviran

M Shamekhi

R Ghezelbash

A Maghsoudi

2023/1

Quantifying uncertainties linked to the diversity of mathematical frameworks in knowledge-driven mineral prospectivity mapping

Natural Resources Research

Mehrdad Daviran

Mohammad Parsa

Abbas Maghsoudi

Reza Ghezelbash

2022/10

Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran

Journal of Geochemical Exploration

Amirreza Bigdeli

Abbas Maghsoudi

Reza Ghezelbash

2022/2/1

Regional-scale mineral prospectivity mapping: Support vector machines and an improved data-driven multi-criteria decision-making technique

Natural Resources Research

Reza Ghezelbash

Abbas Maghsoudi

Amirreza Bigdeli

Emmanuel John M Carranza

2021/6

A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach

Computers & Geosciences

Mehrdad Daviran

Abbas Maghsoudi

Reza Ghezelbash

Biswajeet Pradhan

2021/3/1

Comparison between the geochemical response of BLEG and fine fraction stream sediments to mineralization in the Eastern Black Sea region, Turkey

Journal of Geochemical Exploration

Huseyin Yilmaz

Reza Ghezelbash

David R Cohen

Ramazan Sari

Fatma Nuran Sönmez

...

2020/10/1

Geoelectrical integrated models for determining the geometry of karstic cavities in the Zarrinabad area, west of Iran: combination of fuzzy logic, CA fractal model and hybrid …

Carbonates and Evaporites

Sarina Akbari

Hamidreza Ramazi

Reza Ghezelbash

Abbas Maghsoudi

2020/6

See List of Professors in Reza Ghezelbash University(Amirkabir University of Technology)

Co-Authors

H-index: 128
Professor Biswajeet Pradhan, SMIEEE, Humboldt Fellow

Professor Biswajeet Pradhan, SMIEEE, Humboldt Fellow

University of Technology Sydney

H-index: 75
E.J.M. (John) Carranza

E.J.M. (John) Carranza

University of KwaZulu-Natal

H-index: 32
Abbas Maghsoudi

Abbas Maghsoudi

Amirkabir University of Technology

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