World's Best Scientists 2026 revealed!
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2025
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Earth Science
Iran
2026

D-Index & Metrics

Rising Stars

D-Index
33
Citations
2482
World Ranking
958
National Ranking
36

Earth Science

D-Index
35
Citations
2998
World Ranking
7792
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Earth Science in Iran Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

Abbas Maghsoudi is affiliated with the Amirkabir University of Technology in Iran. Their research work is centered on the intersection of engineering, computer science, and environmental science, with a strong emphasis on applications in geochemistry, geologic mapping, and environmental engineering.

The scientist's research contributions cover several main fields of study including:

  • Engineering
  • Computer Science
  • Environmental Science

Within these fields, Maghsoudi focuses on specific subfields such as:

  • Artificial Intelligence
  • Media Technology
  • Environmental Engineering
  • Mechanical Engineering
  • Mechanics of Materials

Their research topics include:

  • Geochemistry and Geologic Mapping
  • Remote-Sensing Image Classification
  • Soil Geostatistics and Mapping
  • Mineral Processing and Grinding
  • Hydrocarbon Exploration and Reservoir Analysis
  • Heavy Metals in Environment
  • Adsorption and Biosorption for Pollutant Removal

Maghsoudi has published in various scholarly venues, frequently contributing to:

  • Journal of Geochemical Exploration
  • Ore Geology Reviews
  • Minerals
  • Earth Science Informatics
  • Natural Resources Research

Recent representative publications include:

  • "A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approach" (2021, Computers & Geosciences)
  • "A Novel Scheme for Mapping of MVT-Type Pb-Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm" (2023, Natural Resources Research)
  • "Landslide susceptibility prediction using artificial neural networks, SVMs and random forest: hyperparameters tuning by genetic optimization algorithm" (2022, International Journal of Environmental Science and Technology)
  • "Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran" (2020, GeoJournal)
  • "Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran" (2021, Journal of Geochemical Exploration)

Frequent coauthors in Maghsoudi's work include:

  • Reza Ghezelbash
  • Mehrdad Daviran
  • Mahsa Hajihosseinlou
  • Mahyar Yousefi
  • Amin Beiranvand Pour

Best Publications

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

    Mehrdad Daviran;Abbas Maghsoudi;Reza Ghezelbash;Biswajeet Pradhan;Biswajeet Pradhan

  • Application of Landsat-8 and ASTER satellite remote sensing data for Porphyry copper exploration: a case study from Shahr-e-Babak, Kerman, south of Iran

    Morteza Safari;Abbas Maghsoudi;Amin Beiranvand Pour

  • Multifractal interpolation and spectrum–area fractal modeling of stream sediment geochemical data: Implications for mapping exploration targets

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi;Emmanuel John M. Carranza;Emmanuel John M. Carranza

  • Optimization of geochemical anomaly detection using a novel genetic K-means clustering (GKMC) algorithm

    Reza Ghezelbash;Abbas Maghsoudi;Emmanuel John M. Carranza

  • A Remote Sensing-Based Application of Bayesian Networks for Epithermal Gold Potential Mapping in Ahar-Arasbaran Area, NW Iran

    Seyed Mohammad Bolouki;Hamid Reza Ramazi;Abbas Maghsoudi;Amin Beiranvand Pour

  • Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran

    Yousef Bahrami;Hossein Hassani;Abbas Maghsoudi

  • Prospectivity modeling of porphyry-Cu deposits by identification and integration of efficient mono-elemental geochemical signatures

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi;Martiya Sadeghi

  • Recognition of significant multi-element geochemical signatures of porphyry Cu deposits in Noghdouz area, NW Iran

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi;Martiya Sadeghi

  • Regional-Scale Mineral Prospectivity Mapping: Support Vector Machines and an Improved Data-Driven Multi-criteria Decision-Making Technique

    Reza Ghezelbash;Abbas Maghsoudi;Amirreza Bigdeli;Emmanuel John M. Carranza

  • Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi

  • Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models

    Reza Ghezelbash;Abbas Maghsoudi;Emmanuel John M. Carranza

  • Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls

    Reza Ghezelbash;Abbas Maghsoudi;Emmanuel John M. Carranza

  • A Receiver Operating Characteristics-Based Geochemical Data Fusion Technique for Targeting Undiscovered Mineral Deposits

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi

  • Assessing the effects of mineral systems-derived exploration targeting criteria for random Forests-based predictive mapping of mineral prospectivity in Ahar-Arasbaran area, Iran

    Mohammad Parsa;Abbas Maghsoudi

  • Decomposition of anomaly patterns of multi-element geochemical signatures in Ahar area, NW Iran: a comparison of U-spatial statistics and fractal models

    Mohammad Parsa;Abbas Maghsoudi;Reza Ghezelbash

  • Multifractal analysis of stream sediment geochemical data: Implications for hydrothermal nickel prospection in an arid terrain, eastern Iran

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi;Martiya Sadeghi

  • Enhancement and Mapping of Weak Multivariate Stream Sediment Geochemical Anomalies in Ahar Area, NW Iran

    Mohammad Parsa;Abbas Maghsoudi;Emmanuel John M. Carranza;Emmanuel John M. Carranza;Mahyar Yousefi

  • Stream sediment geochemical data analysis for district-scale mineral exploration targeting: Measuring the performance of the spatial U-statistic and C-A fractal modeling

    Saeid Ghasemzadeh;Abbas Maghsoudi;Mahyar Yousefi;Mark J. Mihalasky

  • Comparison of U-spatial statistics and C–A fractal models for delineating anomaly patterns of porphyry-type Cu geochemical signatures in the Varzaghan district, NW Iran

    Reza Ghezelbash;Abbas Maghsoudi

  • An improved data-driven fuzzy mineral prospectivity mapping procedure; cosine amplitude-based similarity approach to delineate exploration targets

    Mohammad Parsa;Abbas Maghsoudi;Mahyar Yousefi

Frequent Co-Authors

Emmanuel John M. Carranza
Emmanuel John M. Carranza University of the Free State
Amin Beiranvand Pour
Amin Beiranvand Pour Universiti Malaysia Terengganu
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Mazlan Hashim
Mazlan Hashim University of Technology Malaysia
Peyman Afzal
Peyman Afzal Islamic Azad University, Tehran

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