Amin Bemani

1.1k total citations
32 papers, 888 citations indexed

About

Amin Bemani is a scholar working on Ocean Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Amin Bemani has authored 32 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 13 papers in Mechanics of Materials and 13 papers in Biomedical Engineering. Recurrent topics in Amin Bemani's work include Enhanced Oil Recovery Techniques (15 papers), Hydrocarbon exploration and reservoir analysis (13 papers) and Petroleum Processing and Analysis (10 papers). Amin Bemani is often cited by papers focused on Enhanced Oil Recovery Techniques (15 papers), Hydrocarbon exploration and reservoir analysis (13 papers) and Petroleum Processing and Analysis (10 papers). Amin Bemani collaborates with scholars based in Iran, Oman and Vietnam. Amin Bemani's co-authors include Alireza Baghban, Amir H. Mohammadi, Alireza Kazemi, Ehsan Khamehchi, Mohammad Reza Khosravi‐Nikou, Mohammad Hossein Doranehgard, Qingang Xiong, Amin Daryasafar, Sajjad Habibzadeh and Mohammad Madani and has published in prestigious journals such as Scientific Reports, Fuel and Renewable Energy.

In The Last Decade

Amin Bemani

31 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amin Bemani Iran 18 270 269 250 237 236 32 888
Mohammad-Reza Mohammadi Iran 19 226 0.8× 367 1.4× 323 1.3× 329 1.4× 199 0.8× 45 856
Ali Barati‐Harooni Iran 21 377 1.4× 361 1.3× 343 1.4× 244 1.0× 212 0.9× 44 993
Qinglin Cheng China 20 170 0.6× 343 1.3× 267 1.1× 266 1.1× 298 1.3× 92 1.0k
Tomoaki Kashiwao Japan 15 287 1.1× 236 0.9× 341 1.4× 144 0.6× 137 0.6× 44 876
Adel Najafi‐Marghmaleki Iran 22 366 1.4× 430 1.6× 376 1.5× 284 1.2× 233 1.0× 54 1.1k
Mahmoud Reza Pishvaie Iran 18 100 0.4× 530 2.0× 344 1.4× 263 1.1× 218 0.9× 64 962
Mohammad Ebadi Russia 14 173 0.6× 624 2.3× 492 2.0× 348 1.5× 125 0.5× 29 1.1k
Reza Soleimani Iran 19 408 1.5× 195 0.7× 367 1.5× 143 0.6× 87 0.4× 33 1.1k
Tarek Ganat Malaysia 16 122 0.5× 741 2.8× 523 2.1× 357 1.5× 238 1.0× 63 1.3k
Sha Wang China 15 338 1.3× 196 0.7× 151 0.6× 459 1.9× 368 1.6× 48 1.2k

Countries citing papers authored by Amin Bemani

Since Specialization
Citations

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

Fields of papers citing papers by Amin Bemani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Bemani

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Bemani. A scholar is included among the top collaborators of Amin Bemani 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 Amin Bemani. Amin Bemani 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.
Bemani, Amin, et al.. (2025). Machine learning based estimation of density of binary blends of cyclohexanes in normal alkanes. Scientific Reports. 15(1). 8469–8469. 1 indexed citations
2.
Soltanian, Mohamad Reza, Amin Bemani, Reza Ershadnia, et al.. (2024). Data driven simulations for accurately predicting thermodynamic properties of H2 during geological storage. Fuel. 362. 130768–130768. 18 indexed citations
3.
Bemani, Amin, Mohammad Ahmadi, Hossein Motamedi, & Bahram Soltani Soulgani. (2024). The impacts of hybrid of microbial enhanced oil recovery and low salinity water flooding on oil recovery mechanisms: An experimental and theoretical Investigation. Journal of Molecular Liquids. 418. 126687–126687. 3 indexed citations
4.
Bemani, Amin, Mohammad Madani, & Alireza Kazemi. (2023). Machine learning-based estimation of nano-lubricants viscosity in different operating conditions. Fuel. 352. 129102–129102. 47 indexed citations
5.
Bemani, Amin, et al.. (2022). Rigorous modeling of frictional pressure loss in inclined annuli using artificial intelligence methods. Journal of Petroleum Science and Engineering. 211. 110203–110203. 16 indexed citations
6.
Bemani, Amin, Alireza Kazemi, & Mohammad Ahmadi. (2022). An Insight into the Microorganism Growth Prediction by Means of Machine Learning Approaches. SSRN Electronic Journal.
7.
Bemani, Amin, et al.. (2022). An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms. SPE Production & Operations. 38(2). 286–304. 20 indexed citations
8.
Bemani, Amin, Alireza Baghban, Amir Mosavi, & S. Shahab. (2020). Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms. Engineering Applications of Computational Fluid Mechanics. 14(1). 818–834. 49 indexed citations
10.
Bemani, Amin, et al.. (2020). Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2. Computers, materials & continua/Computers, materials & continua (Print). 63(3). 1175–1204. 19 indexed citations
11.
Bemani, Amin, Alireza Baghban, & Shahab Shamshirband. (2019). Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2. Preprints.org. 14 indexed citations
12.
Bemani, Amin, Alireza Baghban, & Amir H. Mohammadi. (2019). An insight into the modeling of sulfur content of sour gases in supercritical region. Journal of Petroleum Science and Engineering. 184. 106459–106459. 52 indexed citations
13.
Bemani, Amin, et al.. (2019). Experimental study of asphaltene deposition: Focus on critical size and temperature effect. Journal of Petroleum Science and Engineering. 181. 106186–106186. 13 indexed citations
14.
15.
Bemani, Amin, et al.. (2018). Utilization of Grid partitioning based Fuzzy inference system approach as a novel method to estimate solubility of hydrocarbons in carbon dioxide. Petroleum Science and Technology. 36(5). 350–355. 6 indexed citations
16.
Bemani, Amin, et al.. (2018). Applying Fuzzy c-means approach as a novel method for prediction of interfacial tension between carbon dioxide and hydrocarbons. Petroleum Science and Technology. 36(9-10). 648–653. 7 indexed citations
17.
Bemani, Amin, et al.. (2017). Experimental and modeling studies of the effects of different nanoparticles on asphaltene adsorption. Petroleum Science and Technology. 35(3). 242–248. 74 indexed citations
18.
Bemani, Amin, et al.. (2017). Application of Fuzzy c-means algorithm for the estimation of Asphaltene precipitation. Petroleum Science and Technology. 36(3). 239–243. 16 indexed citations
19.
Bemani, Amin, et al.. (2017). Prediction of the interfacial tension between hydrocarbons and carbon dioxide. Petroleum Science and Technology. 36(3). 227–231. 21 indexed citations
20.
Bemani, Amin, et al.. (2017). Application of novel ANFIS-PSO approach to predict asphaltene precipitation. Petroleum Science and Technology. 36(2). 154–159. 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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