Abbas Maghsoudi

3.5k total citations
93 papers, 2.7k citations indexed

About

Abbas Maghsoudi is a scholar working on Artificial Intelligence, Media Technology and Environmental Engineering. According to data from OpenAlex, Abbas Maghsoudi has authored 93 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 59 papers in Media Technology and 31 papers in Environmental Engineering. Recurrent topics in Abbas Maghsoudi's work include Geochemistry and Geologic Mapping (80 papers), Remote-Sensing Image Classification (59 papers) and Soil Geostatistics and Mapping (30 papers). Abbas Maghsoudi is often cited by papers focused on Geochemistry and Geologic Mapping (80 papers), Remote-Sensing Image Classification (59 papers) and Soil Geostatistics and Mapping (30 papers). Abbas Maghsoudi collaborates with scholars based in Iran, Malaysia and Australia. Abbas Maghsoudi's co-authors include Reza Ghezelbash, Mohammad Parsa, Mahyar Yousefi, Emmanuel John M. Carranza, Mehrdad Daviran, Mahsa Hajihosseinlou, Amin Beiranvand Pour, Hossein Hassanı, Martiya Sadeghi and Amirreza Azadmehr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Expert Systems with Applications.

In The Last Decade

Abbas Maghsoudi

88 papers receiving 2.6k citations

Peers

Abbas Maghsoudi
Ardeshir Hezarkhani Iran
Peyman Afzal Iran
Reza Ghezelbash Iran
Snehamoy Chatterjee United States
M. Chica-Rivas Spain
Renguang Zuo China
Maysam Abedi Iran
Faramarz Doulati Ardejani Iran
M. Sánchez-Castillo Spain
Gholam‐Hossain Norouzi Iran
Ardeshir Hezarkhani Iran
Abbas Maghsoudi
Citations per year, relative to Abbas Maghsoudi Abbas Maghsoudi (= 1×) peers Ardeshir Hezarkhani

Countries citing papers authored by Abbas Maghsoudi

Since Specialization
Citations

This map shows the geographic impact of Abbas Maghsoudi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Abbas Maghsoudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abbas Maghsoudi more than expected).

Fields of papers citing papers by Abbas Maghsoudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abbas Maghsoudi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Abbas Maghsoudi. The network helps show where Abbas Maghsoudi may publish in the future.

Co-authorship network of co-authors of Abbas Maghsoudi

This figure shows the co-authorship network connecting the top 25 collaborators of Abbas Maghsoudi. A scholar is included among the top collaborators of Abbas Maghsoudi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abbas Maghsoudi. Abbas Maghsoudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hajihosseinlou, Mahsa, Abbas Maghsoudi, & Reza Ghezelbash. (2025). A semi-supervised learning framework for intelligent mineral prospectivity mapping: Incorporation of the CatBoost and Gaussian mixture model algorithms. Journal of Geochemical Exploration. 274. 107755–107755. 6 indexed citations
2.
Hajihosseinlou, Mahsa, Abbas Maghsoudi, & Reza Ghezelbash. (2025). A semi-supervised approach for mineral prospectivity mapping via weighted positive-unlabeled learning and tree-structured parzen estimator for hyperparameter optimization. Ore Geology Reviews. 185. 106783–106783. 2 indexed citations
3.
Maghsoudi, Abbas, et al.. (2025). Assimilation of the chronology of mineral system components in prospectivity analysis procedure for mineral exploration targeting: Adaptation of recurrent neural networks. Journal of Geochemical Exploration. 272. 107706–107706. 6 indexed citations
4.
Saremi, M., Maysam Abedi, Mahyar Yousefi, et al.. (2025). Hyperparameter optimization in unsupervised anomaly detection for mineral prospectivity mapping. Ore Geology Reviews. 181. 106627–106627.
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Maghsoudi, Abbas, et al.. (2025). DCGAN-Based Feature Augmentation: A Novel Approach for Efficient Mineralization Prediction Through Data Generation. Minerals. 15(1). 71–71. 8 indexed citations
8.
Hajihosseinlou, Mahsa, Abbas Maghsoudi, & Reza Ghezelbash. (2024). Intelligent mapping of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches. Journal of Geochemical Exploration. 258. 107393–107393. 37 indexed citations
9.
Maghsoudi, Abbas, et al.. (2024). Geological Controlling Factors on Mississippi Valley-Type Pb-Zn Mineralization in Western Semnan, Iran. Minerals. 14(9). 957–957. 7 indexed citations
10.
Daviran, Mehrdad, Reza Ghezelbash, Mahsa Hajihosseinlou, & Abbas Maghsoudi. (2024). Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector machines and random forest. Modeling Earth Systems and Environment. 11(1). 11 indexed citations
11.
Hajihosseinlou, Mahsa, Abbas Maghsoudi, & Reza Ghezelbash. (2023). 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. 237. 121668–121668. 68 indexed citations
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Hajihosseinlou, Mahsa, Abbas Maghsoudi, & Reza Ghezelbash. (2023). 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. 32(6). 2417–2438. 75 indexed citations
14.
Daviran, Mehrdad, et al.. (2023). Hybridizing K-means clustering algorithm with harmony search and artificial bee colony optimizers for intelligence mineral prospectivity mapping. Earth Science Informatics. 16(3). 2143–2165. 22 indexed citations
15.
Shirazy, Adel, Ареф Ширази, Amin Beiranvand Pour, et al.. (2022). Fusion of Remote Sensing, Magnetometric, and Geological Data to Identify Polymetallic Mineral Potential Zones in Chakchak Region, Yazd, Iran. Remote Sensing. 14(23). 6018–6018. 30 indexed citations
16.
Zadeh, Saeid Ghassem, Abbas Maghsoudi, Mahyar Yousefi, & Mark J. Mihalasky. (2021). Information value-based geochemical anomaly modeling: A statistical index to generate enhanced geochemical signatures for mineral exploration targeting. Applied Geochemistry. 136. 105177–105177. 17 indexed citations
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Ghezelbash, Reza, Abbas Maghsoudi, & Mehrdad Daviran. (2019). Implementation of Fuzzy-AHP and Fuzzy-GAMMA approaches for discovering the prospectivity areas of Au mineralization in Takhte-Soleyman district. 10(1). 143–162. 7 indexed citations
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Maghsoudi, Abbas, et al.. (2009). Geochemical zonation in Mirkoh alimirza area, Arasbaran zone, NW Iran. GeCAS. 73. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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