Sam Akehurst

2.2k total citations
111 papers, 1.7k citations indexed

About

Sam Akehurst is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Sam Akehurst has authored 111 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Fluid Flow and Transfer Processes, 71 papers in Automotive Engineering and 32 papers in Mechanical Engineering. Recurrent topics in Sam Akehurst's work include Advanced Combustion Engine Technologies (79 papers), Vehicle emissions and performance (46 papers) and Combustion and flame dynamics (24 papers). Sam Akehurst is often cited by papers focused on Advanced Combustion Engine Technologies (79 papers), Vehicle emissions and performance (46 papers) and Combustion and flame dynamics (24 papers). Sam Akehurst collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Sam Akehurst's co-authors include Chris Brace, Andrew Lewis, James Turner, Hao Yuan, Sipeng Zhu, Colin Copeland, Bo Hu, Christopher Vagg, David Parker and Felix Leach and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, International Journal of Hydrogen Energy and International Journal of Heat and Mass Transfer.

In The Last Decade

Sam Akehurst

108 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sam Akehurst 1.1k 930 463 356 317 111 1.7k
Ezio Spessa 1.6k 1.5× 1.6k 1.7× 733 1.6× 322 0.9× 540 1.7× 155 2.4k
Alasdair Cairns 1.1k 1.0× 582 0.6× 659 1.4× 321 0.9× 533 1.7× 88 1.6k
Renhua Feng 892 0.8× 623 0.7× 336 0.7× 315 0.9× 463 1.5× 46 1.3k
Ramón Molina Valle 826 0.8× 389 0.4× 558 1.2× 477 1.3× 294 0.9× 96 1.5k
Rosli Abu Bakar 591 0.5× 328 0.4× 288 0.6× 404 1.1× 493 1.6× 70 1.2k
Vinícius Rückert Roso 693 0.6× 424 0.5× 374 0.8× 125 0.4× 286 0.9× 27 988
Teresa Donateo 501 0.5× 961 1.0× 197 0.4× 76 0.2× 234 0.7× 92 1.5k
Alfredo Gimelli 561 0.5× 402 0.4× 290 0.6× 498 1.4× 141 0.4× 76 1.2k
Walter Bryzik 1.8k 1.6× 903 1.0× 829 1.8× 778 2.2× 909 2.9× 147 2.6k
Zibin Yin 919 0.8× 422 0.5× 252 0.5× 255 0.7× 780 2.5× 44 1.4k

Countries citing papers authored by Sam Akehurst

Since Specialization
Citations

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

Fields of papers citing papers by Sam Akehurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Akehurst

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Akehurst. A scholar is included among the top collaborators of Sam Akehurst 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 Sam Akehurst. Sam Akehurst 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
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Yuan, Hao, et al.. (2025). Improving the Predictive Capability of Empirical Heat Transfer Correlations for Hydrogen Internal Combustion Engines. Journal of Engineering for Gas Turbines and Power. 147(10). 1 indexed citations
3.
Lewis, Andrew, et al.. (2024). Ensemble Machine Learning Techniques for Particulate Emissions Estimation from a Highly Boosted GDI Engine Fuelled by Different Gasoline Blends. SAE International Journal of Advances and Current Practices in Mobility. 7(4). 1647–1663.
4.
Goyal, Harsh, et al.. (2024). Design trends and challenges in hydrogen direct injection (H2DI) internal combustion engines – A review. International Journal of Hydrogen Energy. 86. 1179–1194. 36 indexed citations
5.
Yuan, Hao, Harsh Goyal, Andrew Lewis, et al.. (2024). Thermodynamics-based data-driven combustion modelling for modern spark-ignition engines. Energy. 313. 134074–134074. 1 indexed citations
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Charles, Cameron T., et al.. (2024). Comparison of the Predictive Capabilities of Chemical Kinetic Models for Hydrogen Combustion Applications. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
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Yuan, Hao, et al.. (2021). A novel numerical implementation of electrochemical-thermal battery model for electrified powertrains with conserved spherical diffusion and high efficiency. International Journal of Heat and Mass Transfer. 178. 121614–121614. 7 indexed citations
10.
Turner, James, Andrew Lewis, Sam Akehurst, et al.. (2020). Alcohol Fuels for Spark-Ignition Engines: Performance, Efficiency, and Emission Effects at Mid to High Blend Rates for Ternary Mixtures. Energies. 13(23). 6390–6390. 15 indexed citations
11.
Akehurst, Sam, et al.. (2019). Design and testing a bespoke cylinder head pulsating flow generator for a turbocharger gas stand. Energy. 189. 116291–116291. 10 indexed citations
12.
Wu, Zhongze, Z. Q. Zhu, Wei Hua, et al.. (2019). Analysis and Suppression of Induced Voltage Pulsation in DC Winding of Five-Phase Wound-Field Switched Flux Machines. IEEE Transactions on Energy Conversion. 34(4). 1890–1905. 31 indexed citations
13.
Turner, James, Andrew Lewis, Sam Akehurst, et al.. (2018). Alcohol fuels for spark-ignition engines: Performance, efficiency and emission effects at mid to high blend rates for binary mixtures and pure components. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 232(1). 36–56. 35 indexed citations
14.
Leach, Felix, Richard Stone, David Richardson, et al.. (2018). The effect of oxygenate fuels on PN emissions from a highly boosted GDI engine. Fuel. 225. 277–286. 62 indexed citations
15.
Akehurst, Sam, et al.. (2017). A real-time capable mixing controlled combustion model for highly diluted conditions. Energy. 133. 1035–1049. 6 indexed citations
16.
Leach, Felix, Sam Akehurst, Chris Brace, et al.. (2017). Road bumps for electric cars. Brunel University Research Archive (BURA) (Brunel University London). 413(9053). 1 indexed citations
17.
Rodrigues, L., et al.. (2016). Thermal Management of a Low Cost Range Extender for Electric Vehicles. 16 (19 .)–16 (19 .). 1 indexed citations
18.
Akehurst, Sam, et al.. (2014). Wear mechanisms in polyoxymethylene (POM) spur gears. The University of Bath Online Publications Store (The University of Bath). 1 indexed citations
19.
Burke, Richard, Chris Brace, & Sam Akehurst. (2010). Engine and Combustion Stability over extended Operating Range using Engine Thermal Management in Calibration Procedure. The University of Bath Online Publications Store (The University of Bath). 1 indexed citations
20.
Akehurst, Sam, et al.. (2004). Modelling of loss mechanisms in a pushing metal V-belt continuously variable transmission. Part 1: Torque losses due to band friction. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 218(11). 1269–1281. 33 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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