Omid Asghari

836 total citations
75 papers, 630 citations indexed

About

Omid Asghari is a scholar working on Artificial Intelligence, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Omid Asghari has authored 75 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 49 papers in Environmental Engineering and 39 papers in Mechanical Engineering. Recurrent topics in Omid Asghari's work include Geochemistry and Geologic Mapping (60 papers), Soil Geostatistics and Mapping (48 papers) and Mineral Processing and Grinding (37 papers). Omid Asghari is often cited by papers focused on Geochemistry and Geologic Mapping (60 papers), Soil Geostatistics and Mapping (48 papers) and Mineral Processing and Grinding (37 papers). Omid Asghari collaborates with scholars based in Iran, Chile and Canada. Omid Asghari's co-authors include Xavier Emery, Mohammad Koneshloo, Nasser Madani, Ardeshir Hezarkhani, Peyman Afzal, Grégoire Mariethoz, Seyed Ali Hosseini, Mirsaleh Mirmohammadi, Julián M. Ortíz and Hassan Bakhshandeh Amnieh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Geosciences and Applied Geochemistry.

In The Last Decade

Omid Asghari

71 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omid Asghari Iran 15 360 360 235 106 101 75 630
Nasser Madani Kazakhstan 16 419 1.2× 360 1.0× 268 1.1× 101 1.0× 108 1.1× 56 625
Jeff Boisvert Canada 13 218 0.6× 293 0.8× 225 1.0× 103 1.0× 204 2.0× 48 697
Nader Fathianpour Iran 15 254 0.7× 206 0.6× 224 1.0× 94 0.9× 194 1.9× 52 738
Jair Carlos Koppe Brazil 13 257 0.7× 119 0.3× 108 0.5× 42 0.4× 58 0.6× 68 495
Shouyu Chen China 14 319 0.9× 134 0.4× 145 0.6× 76 0.7× 46 0.5× 54 659
Tuanfeng Zhang United States 11 178 0.5× 441 1.2× 186 0.8× 138 1.3× 314 3.1× 22 801
Céline Scheidt United States 16 144 0.4× 406 1.1× 400 1.7× 88 0.8× 644 6.4× 32 1.0k
Younes Fadakar Alghalandis Australia 11 625 1.7× 425 1.2× 226 1.0× 260 2.5× 72 0.7× 15 859
Ryoichi Kouda Japan 9 411 1.1× 201 0.6× 178 0.8× 74 0.7× 26 0.3× 27 482
Jie Xiang China 13 411 1.1× 135 0.4× 229 1.0× 83 0.8× 21 0.2× 21 614

Countries citing papers authored by Omid Asghari

Since Specialization
Citations

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

Fields of papers citing papers by Omid Asghari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Asghari

This figure shows the co-authorship network connecting the top 25 collaborators of Omid Asghari. A scholar is included among the top collaborators of Omid Asghari 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 Omid Asghari. Omid Asghari 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.
Mahmoudi, Saïd, Omid Asghari, & Jeff Boisvert. (2025). Addressing class imbalance in micro-CT image segmentation: A modified U-Net model with pixel-level class weighting. Computers & Geosciences. 196. 105853–105853.
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Mousavi, Amin, et al.. (2021). Using Rock Geomechanical Characteristics to Estimate Bond Work Index for Mining Production Blocks. Mining Metallurgy & Exploration. 38(6). 2569–2583. 4 indexed citations
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Asghari, Omid, et al.. (2019). Geostatistical and multi-fractal modeling of geological and geophysical characteristics in Ghalandar Skarn-Porphyry Cu Deposit, Iran. Journal of mining and environment. 10(4). 1061–1081. 2 indexed citations
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Asghari, Omid, et al.. (2019). Assessment of an ore body internal dilution based on multivariate geostatistical simulation using exploratory drill hole data. Journal of mining and environment. 10(1). 271–286. 1 indexed citations
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Asghari, Omid, et al.. (2018). Investigation of linear and non-linear estimation methods in highly-skewed gold distribution. Journal of mining and environment. 9(4). 967–979. 2 indexed citations
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Hosseini, Seyed Ali, et al.. (2018). Forecasting the grade-tonnage curves and their uncertainty at the Mehdiabad deposit-Yazd, central Iran. Universidad de Chile. 2 indexed citations
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Asghari, Omid, et al.. (2018). Spatial modelling of zonality elements based on compositional nature of geochemical data using geostatistical approach: a case study of Baghqloom area, Iran. Journal of mining and environment. 9(1). 153–167. 4 indexed citations
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Asghari, Omid, et al.. (2016). Facies Modeling of Heterogeneous Carbonates Reservoirs by Multiple Point Geostatistics. SHILAP Revista de lepidopterología. 3 indexed citations
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Asghari, Omid, et al.. (2016). Application of truncated gaussian simulation to ore-waste boundary modeling of Golgohar iron deposit. SHILAP Revista de lepidopterología.
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Moghaddas, Naser Hafezi, et al.. (2016). Spatial variability analysis of subsurface soil in Mashhad city, NE Iran. SHILAP Revista de lepidopterología. 50(2). 219–229. 5 indexed citations
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Hosseini, Seyed Ali & Omid Asghari. (2016). Multivariate geostatistical simulation of the Gole Gohar iron ore deposit, Iran. Journal of the Southern African Institute of Mining and Metallurgy. 116(5). 423–430. 5 indexed citations
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Asghari, Omid, et al.. (2015). Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis. SHILAP Revista de lepidopterología. 49(1). 131–142. 1 indexed citations
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Asghari, Omid & Ardeshir Hezarkhani. (2010). Investigations of Alteration Zones Based On Fluid Inclusion Microthermometry At Sungun Porphyry Copper Deposit, Iran. Bulletin Of The Mineral Research and Exploration. 140(140). 19–34. 7 indexed citations
19.
Hezarkhani, Ardeshir, et al.. (2010). SEPARATING THE SUNGUN COPPER DEPOSIT ALTERATION ZONES BY APPLYING ARTIFICIAL NEURAL NETWORK. فصلنامه علمی-پژوهشی علوم زمین. 20(77). 41–46. 2 indexed citations
20.
Asghari, Omid, et al.. (2009). The comparison of alteration zones in the Sungun porphyry copper deposit, Iran (based on fluid inclusion studies). Acta Geologica Polonica. 59(1). 93–109. 16 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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2026