Ehsan Farahbakhsh

513 total citations
26 papers, 352 citations indexed

About

Ehsan Farahbakhsh is a scholar working on Artificial Intelligence, Media Technology and Mechanical Engineering. According to data from OpenAlex, Ehsan Farahbakhsh has authored 26 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Media Technology and 11 papers in Mechanical Engineering. Recurrent topics in Ehsan Farahbakhsh's work include Geochemistry and Geologic Mapping (21 papers), Remote-Sensing Image Classification (11 papers) and Mineral Processing and Grinding (10 papers). Ehsan Farahbakhsh is often cited by papers focused on Geochemistry and Geologic Mapping (21 papers), Remote-Sensing Image Classification (11 papers) and Mineral Processing and Grinding (10 papers). Ehsan Farahbakhsh collaborates with scholars based in Australia, Iran and India. Ehsan Farahbakhsh's co-authors include R. Dietmar Müller, Rohitash Chandra, Amin Beiranvand Pour, Hugo K.H. Olierook, R. Scalzo, Chris Clark, Steven M. Reddy, Ardeshir Hezarkhani, Biswajeet Pradhan and Aidy M. Muslim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Ehsan Farahbakhsh

22 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ehsan Farahbakhsh Australia 9 257 167 100 90 61 26 352
Mansour Ziaii Iran 12 269 1.0× 148 0.9× 63 0.6× 129 1.4× 75 1.2× 32 376
Mohammad Parsa Canada 11 388 1.5× 172 1.0× 111 1.1× 187 2.1× 98 1.6× 22 442
Árpád Csámer Hungary 13 352 1.4× 203 1.2× 149 1.5× 85 0.9× 76 1.2× 26 449
Zhao Peng-da China 11 228 0.9× 67 0.4× 79 0.8× 71 0.8× 60 1.0× 42 365
Abolghasem Kamkar‐Rouhani Iran 7 485 1.9× 286 1.7× 213 2.1× 115 1.3× 120 2.0× 20 561
Robert Jackisch Germany 11 174 0.7× 157 0.9× 62 0.6× 64 0.7× 16 0.3× 25 386
Adel Shirazy Iran 15 295 1.1× 158 0.9× 69 0.7× 226 2.5× 84 1.4× 40 511
Warick Brown Australia 8 443 1.7× 154 0.9× 171 1.7× 198 2.2× 76 1.2× 19 549
Enton Bedini Denmark 9 466 1.8× 399 2.4× 152 1.5× 103 1.1× 78 1.3× 20 557
Ареф Ширази Iran 15 283 1.1× 150 0.9× 67 0.7× 207 2.3× 79 1.3× 37 474

Countries citing papers authored by Ehsan Farahbakhsh

Since Specialization
Citations

This map shows the geographic impact of Ehsan Farahbakhsh'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 Ehsan Farahbakhsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Farahbakhsh more than expected).

Fields of papers citing papers by Ehsan Farahbakhsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Farahbakhsh. 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 Ehsan Farahbakhsh. The network helps show where Ehsan Farahbakhsh may publish in the future.

Co-authorship network of co-authors of Ehsan Farahbakhsh

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Farahbakhsh. A scholar is included among the top collaborators of Ehsan Farahbakhsh 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 Ehsan Farahbakhsh. Ehsan Farahbakhsh 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.
Mather, Ben, et al.. (2025). Craton boundary detection from full-waveform tomography model reveals links to critical metal deposits. Geoscience Frontiers. 16(6). 102176–102176.
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Farahbakhsh, Ehsan, et al.. (2025). Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 93(4). 379–400.
4.
Farahbakhsh, Ehsan, Simon Williams, Xiaohui Li, et al.. (2025). Machine Learning and Big Data Mining Reveal Earth's Deep Time Crustal Thickness and Tectonic Evolution: A New Chemical Mohometry Approach. Journal of Geophysical Research Solid Earth. 130(5). 3 indexed citations
5.
Farahbakhsh, Ehsan, et al.. (2024). Remote sensing framework for geological mapping via stacked autoencoders and clustering. Advances in Space Research. 74(10). 4502–4516. 6 indexed citations
6.
Luo, Zijing, Ehsan Farahbakhsh, R. Dietmar Müller, & Renguang Zuo. (2024). Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements. Applied Geochemistry. 174. 106146–106146. 5 indexed citations
7.
Farahbakhsh, Ehsan, et al.. (2024). Lateritic Ni–Co Prospectivity Modeling in Eastern Australia Using an Enhanced Generative Adversarial Network and Positive-Unlabeled Bagging. Natural Resources Research. 34(1). 61–96. 1 indexed citations
8.
Farahbakhsh, Ehsan, et al.. (2023). Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews. 162. 105665–105665. 23 indexed citations
9.
Farahbakhsh, Ehsan, et al.. (2021). A review of machine learning in processing remote sensing data for mineral exploration. Remote Sensing of Environment. 268. 112750–112750. 4 indexed citations
10.
Olierook, Hugo K.H., R. Scalzo, Rohitash Chandra, et al.. (2020). Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models. Geoscience Frontiers. 12(1). 479–493. 48 indexed citations
11.
Olierook, Hugo K.H., R. Scalzo, David Kohn, et al.. (2019). Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models. 5 indexed citations
12.
Farahbakhsh, Ehsan, Rohitash Chandra, Hugo K.H. Olierook, et al.. (2019). Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data. International Journal of Remote Sensing. 41(5). 1760–1787. 41 indexed citations
13.
Farahbakhsh, Ehsan, et al.. (2019). Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization. Journal of Geochemical Exploration. 204. 12–32. 14 indexed citations
14.
Hezarkhani, Ardeshir, et al.. (2018). A comparative study of fractal models and U-statistic method to identify geochemical anomalies; case study of Avanj porphyry system, Central Iran. Journal of mining and environment. 9(1). 209–227. 1 indexed citations
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Farahbakhsh, Ehsan, et al.. (2016). Investigating the effect of fractures on unusual gas emission in coal mines; case study of Parvadeh coal mine, Iran. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Farahbakhsh, Ehsan, et al.. (2016). Fusing ASTER and QuickBird-2 Satellite Data for Detailed Investigation of Porphyry Copper Deposits Using PCA; Case Study of Naysian Deposit, Iran. Journal of the Indian Society of Remote Sensing. 44(4). 525–537. 23 indexed citations
18.
Hezarkhani, Ardeshir, et al.. (2015). An Investigation of Pb Geochemical Behavior Respect to Those of Fe and Zn Based on k- Means Clustering Method. 5 indexed citations
19.
Hezarkhani, Ardeshir, et al.. (2015). Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran. Geosciences Journal. 19(3). 431–440. 19 indexed citations
20.
Hezarkhani, Ardeshir, et al.. (2013). Anomaly-Background Separation and Geochemical Map Generation for Pb and Zn in Parkam District Based on U–Statistical Method, Kerman, Iran. SHILAP Revista de lepidopterología. 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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