Amirali Shateri
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 8
- Combustion and flame dynamics 4
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- Advanced Combustion Engine Technologies 4
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions 4
- Biomedical Engineering top 10%
- Nanofluid Flow and Heat Transfer 19
- Mechanical Engineering top 10%
- Heat Transfer Mechanisms 11
- Heat Transfer and Optimization 5
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- Machine Learning in Materials Science 2
- Co-authors
- Payam JaliliBahram JaliliD.D. GanjiDavood Domiri GanjiZhiyin YangJianfei XieYasir KhanMehdi Mahboobtosi
- Partner nations
- IranUnited KingdomSaudi Arabia
In The Last Decade
Amirali Shateri
27 papers receiving 537 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computational Mechanics 264
- Fluid Flow and Transfer Processes 72
- Modeling and Simulation 54
- Biomedical Engineering 446
- Mechanical Engineering 313
Countries citing papers authored by Amirali Shateri
This map shows the geographic impact of Amirali Shateri'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 Amirali Shateri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amirali Shateri more than expected).
Fields of papers citing papers by Amirali Shateri
This network shows the impact of papers produced by Amirali Shateri. 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 Amirali Shateri. The network helps show where Amirali Shateri may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Amirali Shateri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factorsbreakdown → | 2025 | 25 |
| 3 | 2025 | 0 | |
| 4 | 2025 | 16 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 4 | |
| 8 | 2025 | 9 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 19 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 22 | |
| 15 | 2024 | 21 | |
| 16 | 2024 | 24 | |
| 17 | 2023 | 17 | |
| 18 | 2023 | 51 | |
| 19 | 2023 | 34 | |
| 20 | 2023 | 6 |
About Amirali Shateri
Amirali Shateri is a scholar working on Modeling and Simulation, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 31 papers that have together received 578 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (19 papers), Heat Transfer Mechanisms (11 papers), Fluid Dynamics and Turbulent Flows (8 papers), Heat Transfer and Optimization (5 papers), Fractional Differential Equations Solutions (4 papers), Advanced Combustion Engine Technologies (4 papers), Combustion and flame dynamics (4 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Mechanics (264 citations), Fluid Flow and Transfer Processes (72 citations) and Modeling and Simulation (54 citations). Amirali Shateri has collaborated with scholars based in Iran, United Kingdom and Saudi Arabia. Frequent co-authors include Payam Jalili, Bahram Jalili, D.D. Ganji, Davood Domiri Ganji, Zhiyin Yang, Jianfei Xie, Yasir Khan, Mehdi Mahboobtosi, Ali Akgül and Hijaz Ahmad. Their work appears in journals such as Scientific Reports, Energy and Fuel.
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.