Amirali Shateri

753 total citations · 1 hit paper
31 papers, 578 citations indexed

About

Amirali Shateri is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Amirali Shateri has authored 31 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 17 papers in Computational Mechanics and 15 papers in Mechanical Engineering. Recurrent topics in Amirali Shateri's work include Nanofluid Flow and Heat Transfer (19 papers), Heat Transfer Mechanisms (11 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Amirali Shateri is often cited by papers focused on Nanofluid Flow and Heat Transfer (19 papers), Heat Transfer Mechanisms (11 papers) and Fluid Dynamics and Turbulent Flows (8 papers). Amirali Shateri collaborates with scholars based in Iran, United Kingdom and Saudi Arabia. Amirali Shateri's 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 and has published in prestigious journals such as Scientific Reports, Energy and Fuel.

In The Last Decade

Amirali Shateri

27 papers receiving 537 citations

Hit Papers

Utilizing Python for numerical analysis of bioconvection ... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amirali Shateri Iran 16 446 313 264 72 54 31 578
Yasir Akbar Pakistan 16 550 1.2× 361 1.2× 326 1.2× 44 0.6× 40 0.7× 45 658
Sayed M. El Din Egypt 17 617 1.4× 445 1.4× 401 1.5× 79 1.1× 50 0.9× 39 769
Ehtsham Azhar Pakistan 20 800 1.8× 625 2.0× 509 1.9× 77 1.1× 75 1.4× 55 912
Ying-Qing Song China 17 671 1.5× 530 1.7× 423 1.6× 43 0.6× 76 1.4× 49 1.1k
A.S. Alqahtani Saudi Arabia 19 843 1.9× 635 2.0× 578 2.2× 79 1.1× 40 0.7× 68 973
Assmaa Abd‐Elmonem Saudi Arabia 16 615 1.4× 442 1.4× 366 1.4× 53 0.7× 32 0.6× 75 861
Taqi A. M. Shatnawi Jordan 16 451 1.0× 346 1.1× 333 1.3× 48 0.7× 30 0.6× 39 582
Qiu‐Hong Shi China 12 430 1.0× 318 1.0× 279 1.1× 39 0.5× 67 1.2× 17 560
Musawa Yahya Almusawa Saudi Arabia 13 269 0.6× 235 0.8× 159 0.6× 25 0.3× 78 1.4× 53 462
Fazal Haq Pakistan 15 628 1.4× 535 1.7× 405 1.5× 27 0.4× 72 1.3× 65 815

Countries citing papers authored by Amirali Shateri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Amirali Shateri

This figure shows the co-authorship network connecting the top 25 collaborators of Amirali Shateri. A scholar is included among the top collaborators of Amirali Shateri 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 Amirali Shateri. Amirali Shateri 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
3.
Shateri, Amirali, Mehdi Mahboobtosi, Irshad Ahmad, et al.. (2025). Thermal analysis of unsteady viscous flow in medical engineering: A comparative analysis of numerical and semi-analytical methods. Modern Physics Letters B. 39(25). 16 indexed citations
4.
Jalili, Mohammad, et al.. (2025). Data-driven prediction of thermal and flow fields in magnetized Boger-micropolar tri-hybrid nanofluids via deep artificial neural networks. Engineering Applications of Artificial Intelligence. 161. 112232–112232. 2 indexed citations
5.
6.
Shateri, Amirali, et al.. (2025). A hybrid molecular dynamics–machine learning framework for boiling point estimation in aromatic fluids. Case Studies in Thermal Engineering. 73. 106684–106684. 4 indexed citations
7.
Shateri, Amirali, et al.. (2025). Utilizing Python for numerical analysis of bioconvection in magnetized Casson-Maxwell nanofluid systems with gyrotactic microorganisms: An investigation of dominant factors. Results in Engineering. 25. 103760–103760. 25 indexed citations breakdown →
8.
Shateri, Amirali, Zhiyin Yang, Yun Liu, & Jianfei Xie. (2025). Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models. Fuel. 389. 134590–134590. 9 indexed citations
9.
Shateri, Amirali, et al.. (2025). MHD natural convection and entropy generation in star-shaped porous cavities with hybrid nanofluids: effects of magnetic field inclination and radiation. International Journal of Numerical Methods for Heat & Fluid Flow. 35(9). 3202–3245. 2 indexed citations
10.
Shateri, Amirali, Zhiyin Yang, & Jianfei Xie. (2025). Machine learning-based prediction of species mass fraction and flame characteristics in partially premixed turbulent jet flame. Physics of Fluids. 37(7). 1 indexed citations
11.
Jalili, Payam, et al.. (2024). Thermal analysis of nanofluid magnetic flow on a rotating disk in the presence of radiation considering response surface method. Modern Physics Letters B. 38(24). 19 indexed citations
12.
Shateri, Amirali, Payam Jalili, Fuad A. M. Al‐Yarimi, et al.. (2024). Radiative effects on 2D unsteady MHD Al2O3‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 105(2). 9 indexed citations
13.
Jalili, Payam, et al.. (2024). Analytical and numerical investigation of heat transfer of porous fin in a local thermal non-equilibrium state. Heliyon. 10(4). e26424–e26424. 21 indexed citations
14.
Liu, Qianyi, et al.. (2024). Phase diagram for nanodroplet impact on solid spheres: From hydrophilic to superhydrophobic surfaces. Physics of Fluids. 36(9). 2 indexed citations
16.
Mahboobtosi, Mehdi, et al.. (2024). Heat transfer characteristics in the squeezing flow of casson fluid between circular plates: A comprehensive study. Advances in Mechanical Engineering. 16(10). 24 indexed citations
17.
Shateri, Amirali, et al.. (2023). Heat transfer analysis of unsteady nanofluid flow between moving parallel plates with magnetic field: Analytical approach. Journal of Central South University. 30(7). 2313–2323. 51 indexed citations
18.
Jalili, Payam, et al.. (2023). A Comparative Study of Hybrid Analytical and Laplace Transform Approaches for Solving Partial Differential Equations in Python. International Journal of Engineering. 37(2). 352–364. 17 indexed citations
19.
Ozsahin, Dilber Uzun, Bahram Jalili, Amirali Shateri, et al.. (2023). Investigation of turbine cooling using semi-analytical methods in non-Newtonian fluid flow with porous wall. Case Studies in Thermal Engineering. 53. 103808–103808. 6 indexed citations
20.
Jalili, Bahram, Amirali Shateri, Ali Akgül, et al.. (2023). An investigation into a semi-porous channel's forced convection of nano fluid in the presence of a magnetic field as a result of heat radiation. Scientific Reports. 13(1). 18505–18505. 34 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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