Afshin Tatar

2.5k total citations
74 papers, 2.2k citations indexed

About

Afshin Tatar is a scholar working on Ocean Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Afshin Tatar has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ocean Engineering, 32 papers in Mechanical Engineering and 26 papers in Biomedical Engineering. Recurrent topics in Afshin Tatar's work include Enhanced Oil Recovery Techniques (30 papers), Petroleum Processing and Analysis (19 papers) and Reservoir Engineering and Simulation Methods (19 papers). Afshin Tatar is often cited by papers focused on Enhanced Oil Recovery Techniques (30 papers), Petroleum Processing and Analysis (19 papers) and Reservoir Engineering and Simulation Methods (19 papers). Afshin Tatar collaborates with scholars based in Iran, Australia and South Africa. Afshin Tatar's co-authors include Amir H. Mohammadi, Amin Shokrollahi, Ali Barati‐Harooni, Adel Najafi‐Marghmaleki, Alireza Bahadori, Alireza Zendehboudi, Abdolhossein Hemmati‐Sarapardeh, Mohammad Hossein Ahmadi, Milad Arabloo and Saeed Rashid and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Afshin Tatar

72 papers receiving 2.1k citations

Peers

Afshin Tatar
Milad Arabloo Iran
Menad Nait Amar Algeria
Behzad Vaferi Iran
Simant R. Upreti Canada
Mohammad Ali Emadi Iran
Pornpote Piumsomboon Thailand
Rahmat Sotudeh‐Gharebagh Iran
Ali Vatani Iran
Ali Mohebbi Iran
Xingang Li China
Milad Arabloo Iran
Afshin Tatar
Citations per year, relative to Afshin Tatar Afshin Tatar (= 1×) peers Milad Arabloo

Countries citing papers authored by Afshin Tatar

Since Specialization
Citations

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

Fields of papers citing papers by Afshin Tatar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afshin Tatar

This figure shows the co-authorship network connecting the top 25 collaborators of Afshin Tatar. A scholar is included among the top collaborators of Afshin Tatar 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 Afshin Tatar. Afshin Tatar 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.
Tatar, Afshin, Abbas Zeinijahromi, & Manouchehr Haghighi. (2025). Explainable Artificial Intelligence in modelling hydrogen gas solubility in n-Alkanes. Separation and Purification Technology. 362. 131741–131741. 2 indexed citations
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Shokrollahi, Amin, Afshin Tatar, & Abbas Zeinijahromi. (2024). Advancing CO2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage. Sustainability. 16(17). 7273–7273. 5 indexed citations
4.
Tatar, Afshin, et al.. (2023). Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models. Neural Computing and Applications. 36(4). 1973–1995. 1 indexed citations
5.
Tatar, Afshin & Ali Shafiei. (2023). Connectionist Models for Asphaltene Precipitation Prediction by n-Alkane Titration─Pressure and Crude Oil Properties Considered. Industrial & Engineering Chemistry Research. 62(34). 13281–13302.
6.
Lashkenari, Mohammad Soleimani, et al.. (2023). A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. Neural Computing and Applications. 35(14). 10663–10676. 9 indexed citations
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Tatar, Afshin, et al.. (2021). Data-Driven Connectionist Models for Performance Prediction of Low Salinity Waterflooding in Sandstone Reservoirs. ACS Omega. 6(47). 32304–32326. 16 indexed citations
10.
Tatar, Afshin, et al.. (2020). Modeling of interfacial tension in binary mixtures of CH4, CO2, and N2 - alkanes using gene expression programming and equation of state. Journal of Molecular Liquids. 320. 114454–114454. 28 indexed citations
11.
Ameli, Forough, et al.. (2019). Modeling interfacial tension of normal alkane-supercritical CO2 systems: Application to gas injection processes. Fuel. 253. 1436–1445. 13 indexed citations
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Tatar, Afshin, et al.. (2016). Prediction of carbon dioxide solubility in aqueous mixture of methyldiethanolamine and N -methylpyrrolidone using intelligent models. International journal of greenhouse gas control. 47. 122–136. 60 indexed citations
14.
Tatar, Afshin, Ali Barati‐Harooni, Adel Najafi‐Marghmaleki, et al.. (2016). Prediction of solubility of solid compounds in supercritical CO2 using a connectionist smart technique. The Journal of Supercritical Fluids. 120. 181–190. 26 indexed citations
15.
Tatar, Afshin, Ali Barati‐Harooni, Siyamak Moradi, et al.. (2016). Prediction of heavy oil viscosity using a radial basis function neural network. Petroleum Science and Technology. 34(21). 1742–1748. 10 indexed citations
16.
Tatar, Afshin, et al.. (2016). An accurate model for predictions of vaporization enthalpies of hydrocarbons and petroleum fractions. Journal of Molecular Liquids. 220. 192–199. 17 indexed citations
17.
Tatar, Afshin, et al.. (2016). Prediction of moisture content of natural gases using a GA-RBF model. Journal of Molecular Liquids. 223. 994–999. 4 indexed citations
18.
Tatar, Afshin, et al.. (2015). Prediction of reservoir brine properties using radial basis function (RBF) neural network. Petroleum. 1(4). 349–357. 29 indexed citations
19.
Shokrollahi, Amin, et al.. (2015). Fracture density determination using a novel hybrid computational scheme: a case study on an Iranian Marun oil field reservoir. Journal of Geophysics and Engineering. 12(2). 188–198. 28 indexed citations
20.
Tatar, Afshin, et al.. (2015). Application of Radial Basis Function Neural Network for Prediction of Titration-Based Asphaltene Precipitation. Petroleum Science and Technology. 33(23-24). 1875–1882. 10 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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