Amin Paykani

2.0k total citations
51 papers, 1.5k citations indexed

About

Amin Paykani is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Amin Paykani has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Fluid Flow and Transfer Processes, 25 papers in Automotive Engineering and 24 papers in Computational Mechanics. Recurrent topics in Amin Paykani's work include Advanced Combustion Engine Technologies (32 papers), Combustion and flame dynamics (21 papers) and Vehicle emissions and performance (20 papers). Amin Paykani is often cited by papers focused on Advanced Combustion Engine Technologies (32 papers), Combustion and flame dynamics (21 papers) and Vehicle emissions and performance (20 papers). Amin Paykani collaborates with scholars based in Iran, United Kingdom and United States. Amin Paykani's co-authors include Amir-Hasan Kakaee, Pourya Rahnama, Rolf D. Reitz, Agustín Valera-Medina, William F. Northrop, A. Tsolakis, Terry Alger, Antonio García, Mahdi Shahbakhti and Umberto Desideri and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Progress in Energy and Combustion Science.

In The Last Decade

Amin Paykani

49 papers receiving 1.5k 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 Paykani Iran 20 1.1k 622 602 519 395 51 1.5k
Scott Curran United States 24 1.3k 1.2× 869 1.4× 710 1.2× 549 1.1× 465 1.2× 70 1.7k
William F. Northrop United States 21 920 0.8× 596 1.0× 441 0.7× 465 0.9× 481 1.2× 129 1.5k
C. Scott Sluder United States 21 888 0.8× 552 0.9× 623 1.0× 359 0.7× 444 1.1× 63 1.4k
Lijiang Wei China 13 1.3k 1.2× 738 1.2× 445 0.7× 886 1.7× 483 1.2× 33 1.7k
Amir-Hasan Kakaee Iran 18 802 0.7× 538 0.9× 448 0.7× 398 0.8× 263 0.7× 41 1.3k
Selahaddin Orhan Akansu Türkiye 17 1.1k 1.1× 606 1.0× 487 0.8× 720 1.4× 488 1.2× 56 1.7k
Long Liu China 21 972 0.9× 378 0.6× 491 0.8× 439 0.8× 573 1.5× 84 1.7k
Fanhua Ma China 28 1.7k 1.5× 946 1.5× 764 1.3× 657 1.3× 545 1.4× 79 2.1k
Leonid Tartakovsky Israel 23 897 0.8× 465 0.7× 502 0.8× 372 0.7× 520 1.3× 65 1.5k
Wenbin Yu Singapore 29 1.6k 1.5× 572 0.9× 1.0k 1.7× 802 1.5× 581 1.5× 103 2.1k

Countries citing papers authored by Amin Paykani

Since Specialization
Citations

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

Fields of papers citing papers by Amin Paykani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Paykani

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Paykani. A scholar is included among the top collaborators of Amin Paykani 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 Paykani. Amin Paykani 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.
Refaat, Shady S., et al.. (2025). Reinforcement Learning for Torque Vectoring in Electric Vehicles: A Review of Stability and Energy Optimization Methods. IEEE Open Journal of Vehicular Technology. 7. 354–380.
2.
Sarhadi, Pouria, et al.. (2025). A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles. IEEE Access. 13. 127150–127169. 2 indexed citations
3.
Sarhadi, Pouria, et al.. (2025). Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle. IEEE Open Journal of Vehicular Technology. 6. 2583–2606. 1 indexed citations
4.
Harmand, Souad, et al.. (2025). Thermal management of hairpin winding traction motors in electric vehicles: Parametric evaluation of impinging oil jet cooling using CFD simulations. Applied Thermal Engineering. 273. 126414–126414. 2 indexed citations
5.
6.
Mashruk, Syed, Hao Shi, B. Aravind, et al.. (2024). Perspectives on NOX Emissions and Impacts from Ammonia Combustion Processes. Energy & Fuels. 38(20). 19253–19292. 36 indexed citations
7.
Paykani, Amin, et al.. (2024). An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends. Applied Soft Computing. 168. 112468–112468. 1 indexed citations
8.
Cairns, Alasdair, et al.. (2023). Numerical Study of Oil Jet Cooling in Electric Traction Motors with Hairpin Windings. Queen Mary Research Online (Queen Mary University of London). 1–6. 6 indexed citations
9.
Valera-Medina, Agustín, et al.. (2023). Effect of radiation on laminar flame speed determination in spherically propagating NH3-air, NH3/CH4-air and NH3/H2-air flames at normal temperature and pressure. Combustion and Flame. 257. 113030–113030. 29 indexed citations
10.
Herfatmanesh, Mohammad Reza, et al.. (2023). Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures. Energy and AI. 13. 100270–100270. 16 indexed citations
11.
Kakaee, Amir-Hasan, et al.. (2016). Mathematical optimization of variable valve timing for reducing fuel consumption of A SI engine. Engineering review. 36(1). 61–69. 1 indexed citations
12.
Paykani, Amin, Amir-Hasan Kakaee, Pourya Rahnama, & Rolf D. Reitz. (2015). Effects of diesel injection strategy on natural gas/diesel reactivity controlled compression ignition combustion. Energy. 90. 814–826. 130 indexed citations
13.
Kakaee, Amir-Hasan, Pourya Rahnama, & Amin Paykani. (2014). Numerical Study of Reactivity Controlled Compression Ignition (RCCI) Combustion in a Heavy-Duty Diesel Engine Using 3D-CFD Coupled with Chemical Kinetics. International Journal of Automotive Engineering. 4(3). 792–804. 11 indexed citations
14.
Paykani, Amin, et al.. (2014). THE INFLUENCE OF GEOMETRIC PARAMETERS AND MECHANICAL PROPERTIES OF ADHESIVE ON STRESS ANALYSIS IN ADHESIVELY BONDED ALUMINUM SINGLE LAP JOINT. Transactions of FAMENA. 37(4). 91–98. 2 indexed citations
15.
Paykani, Amin, et al.. (2014). Design and energy absorption enhancement of vehicle hull under high dynamic loads. Journal of Central South University. 21(4). 1307–1312. 6 indexed citations
16.
Paykani, Amin, et al.. (2013). Dynamic analysis and design of V-shape plates under blast loading. Journal of Vibroengineering. 15(2). 971–978. 5 indexed citations
17.
Asadi, Kamal, et al.. (2013). Optimization of suspension system of off-road vehicle for vehicle performance improvement. Journal of Central South University. 20(4). 902–910. 34 indexed citations
18.
Paykani, Amin, et al.. (2012). Geometry optimization of double wishbone suspension system via genetic algorithm for handling improvement. Journal of Vibroengineering. 14(2). 827–837. 23 indexed citations
19.
Paykani, Amin, et al.. (2012). Design of a Composite Drive Shaft and its Coupling for Automotive Application. Journal of Applied Research and Technology. 10(6). 18 indexed citations
20.
Paykani, Amin, et al.. (2011). Performance and Emission Characteristics of Dual Fuel Engines at Part Loads Using Simultaneous Effect of Exhaust Gas Recirculation and Pre-Heating of In-let Air. International Journal of Automotive Engineering. 1(2). 21–25. 4 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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