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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Craton boundary detection from full-waveform tomography model reveals links to critical metal deposits	Geoscience Frontiers	Ben Mather, Ehsan Farahbakhsh et al.	0
2	Machine Learning‐Based Spatio‐Temporal Prospectivity Modeling of Porphyry Systems in the New Guinea and Solomon Islands Region	Tectonics	Ehsan Farahbakhsh, Sabin Zahirovic et al.	0
3	Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data	PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science	Ehsan Farahbakhsh, R. Dietmar Müller et al.	0
4	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	Ehsan Farahbakhsh, Simon Williams et al.	3
5	Remote sensing framework for geological mapping via stacked autoencoders and clustering	Advances in Space Research	Ehsan Farahbakhsh, Joseph L. Awange et al.	6
6	Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements	Applied Geochemistry	Zijing Luo, Ehsan Farahbakhsh et al.	5
7	Lateritic Ni–Co Prospectivity Modeling in Eastern Australia Using an Enhanced Generative Adversarial Network and Positive-Unlabeled Bagging	Natural Resources Research	Ehsan Farahbakhsh, R. Dietmar Müller et al.	1
8	Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging	Ore Geology Reviews	Ehsan Farahbakhsh, R. Dietmar Müller et al.	23
9	A review of machine learning in processing remote sensing data for mineral exploration	Remote Sensing of Environment	Ehsan Farahbakhsh, R. Dietmar Müller et al.	4
10	Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models	Geoscience Frontiers	Hugo K.H. Olierook, R. Scalzo et al.	48
11	Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models		Hugo K.H. Olierook, R. Scalzo et al.	5
12	Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data	International Journal of Remote Sensing	Ehsan Farahbakhsh, Rohitash Chandra et al.	41
13	Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization	Journal of Geochemical Exploration	Ehsan Farahbakhsh, Rohitash Chandra et al.	14
14	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	Ardeshir Hezarkhani, Ehsan Farahbakhsh et al.	1
15	A comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran	Journal of mining and environment	Ardeshir Hezarkhani, Ehsan Farahbakhsh et al.	5
16	Investigating the effect of fractures on unusual gas emission in coal mines; case study of Parvadeh coal mine, Iran	SHILAP Revista de lepidopterología	Ehsan Farahbakhsh, Lohrasb Faramarzi et al.	1
17	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	Ehsan Farahbakhsh, Abbas Bahroudi et al.	23
18	An Investigation of Pb Geochemical Behavior Respect to Those of Fe and Zn Based on k- Means Clustering Method		Ardeshir Hezarkhani, Ehsan Farahbakhsh et al.	5
19	Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran	Geosciences Journal	Ardeshir Hezarkhani, Abbas Maghsoudi et al.	19
20	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	Ardeshir Hezarkhani, Ehsan Farahbakhsh et al.	7

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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