Jason Yon

2.6k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Jason Yon is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Jason Yon has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 18 papers in Mechanical Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Jason Yon's work include Electric Motor Design and Analysis (16 papers), Magnetic Properties and Applications (9 papers) and Magnetic Bearings and Levitation Dynamics (7 papers). Jason Yon is often cited by papers focused on Electric Motor Design and Analysis (16 papers), Magnetic Properties and Applications (9 papers) and Magnetic Bearings and Levitation Dynamics (7 papers). Jason Yon collaborates with scholars based in United Kingdom, United States and Romania. Jason Yon's co-authors include Ben Hicks, Aydin Nassehi, Chris Snider, David Jones, Phil Mellor, Rafał Wróbel, Antonio Griffo, J.D. Booker, Adrian Młot and Ray Collins and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Energy Conversion and Measurement Science and Technology.

In The Last Decade

Jason Yon

32 papers receiving 1.7k citations

Hit Papers

Characterising the Digital Twin: A systematic literature ... 2020 2026 2022 2024 2020 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Characterising the Digital Twin: A systematic literature review
    2020 1.3k citations David Jones, Chris Snider et al. CIRP journal of manufacturing science and technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Yon United Kingdom 12 847 499 355 242 145 33 1.8k
Moneer Helu United States 22 1.1k 1.3× 263 0.5× 263 0.7× 438 1.8× 145 1.0× 43 1.8k
Edward H. Glaessgen United States 9 1.0k 1.2× 174 0.3× 165 0.5× 253 1.0× 219 1.5× 36 1.7k
David S. Stargel United States 8 1.0k 1.2× 173 0.3× 163 0.5× 348 1.4× 211 1.5× 9 1.8k
Jianhua Liu China 24 429 0.5× 434 0.9× 370 1.0× 541 2.2× 54 0.4× 178 2.2k
Jinfeng Liu China 19 590 0.7× 311 0.6× 713 2.0× 340 1.4× 76 0.5× 87 1.8k

Countries citing papers authored by Jason Yon

Since Specialization
Citations

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

Fields of papers citing papers by Jason Yon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Yon

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Yon. A scholar is included among the top collaborators of Jason Yon 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 Jason Yon. Jason Yon 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.
2.
Yon, Jason, et al.. (2024). Model-based compensation and uncertainty analysis of support bearing losses in a chain drive dynamometer. Measurement Science and Technology. 36(1). 15044–15044. 3 indexed citations
3.
4.
Jones, Catherine, Patrick Norman, Graeme Burt, et al.. (2021). A Route to Sustainable Aviation: A Roadmap for the Realization of Aircraft Components With Electrical and Structural Multifunctionality. IEEE Transactions on Transportation Electrification. 7(4). 3032–3049. 24 indexed citations
5.
Hicks, Ben, et al.. (2021). A COMPARISON OF STRUCTURED LIGHT SCANNING AND PHOTOGRAMMETRY FOR THE DIGITISATION OF PHYSICAL PROTOTYPES. Proceedings of the Design Society. 1. 11–20. 7 indexed citations
6.
Booker, J.D., et al.. (2020). Development of a Power Generation System and Quadruplex Direct Electric Drive for a Helicopter Tail Rotor. AIAA Scitech 2020 Forum. 1 indexed citations
7.
Jones, David, Chris Snider, Aydin Nassehi, Jason Yon, & Ben Hicks. (2020). Characterising the Digital Twin: A systematic literature review. CIRP journal of manufacturing science and technology. 29. 36–52. 1314 indexed citations breakdown →
8.
Jones, David, Chris Snider, Jason Matthews, et al.. (2020). Model-based information navigation for engineering documents. Computers in Industry. 121. 103254–103254. 7 indexed citations
9.
Yon, Jason, et al.. (2020). LOOKS LIKE BUT DOES IT FEEL LIKE? INVESTIGATING THE INFLUENCE OF MASS PROPERTIES ON USER PERCEPTIONS OF RAPID PROTOTYPES. Proceedings of the Design Society DESIGN Conference. 1. 1425–1434. 4 indexed citations
10.
Nassehi, Aydin, et al.. (2019). Causes and effects of Geometric Deviation in Magnetic Gears. 2 indexed citations
11.
Yon, Jason, et al.. (2019). Design route towards a PM machine for rotorcraft environments. The Journal of Engineering. 2019(17). 3720–3724. 2 indexed citations
12.
Hicks, Ben, et al.. (2018). Characterising Conveyor Belt System Usage from Drive Motor Power Consumption and Rotational Speed: A Feasibility Study. PHM Society European Conference. 4(1). 3 indexed citations
13.
Jones, David, Chris Snider, Jason Yon, et al.. (2018). THE DESIGN OF VISUAL INFORMATION OBJECTS IN THREE-DIMENSIONAL VIRTUAL ENVIRONMENTS FOR ENGINEERING INFORMATION NAVIGATION. Proceedings of the ... International Design Conference/Design .... 15. 1583–1594. 3 indexed citations
14.
Yon, Jason, James L. Baker, Phil Mellor, Sam Williamson, & Rafał Wróbel. (2017). Test characterization of a high performance fault tolerant permanenet magnet machine. Bristol Research (University of Bristol). 1–8. 2 indexed citations
15.
Wróbel, Rafał, Sam Williamson, Nick Simpson, et al.. (2015). Impact of slot shape on loss and thermal behaviour of open-slot modular stator windings. Explore Bristol Research. 4433–4440. 24 indexed citations
16.
Yuan, Xibo, Jason Yon, & Phil Mellor. (2013). Common-mode voltage reduction in three-level neutral-point-clamped converters with neutral point voltage balance. 1–6. 15 indexed citations
17.
Yon, Jason, Phil Mellor, Rafał Wróbel, J.D. Booker, & Stephen G. Burrow. (2012). Analysis of Semipermeable Containment Sleeve Technology for High-Speed Permanent Magnet Machines. IEEE Transactions on Energy Conversion. 27(3). 646–653. 34 indexed citations
18.
Wróbel, Rafał, Antonio Griffo, Adrian Młot, et al.. (2011). 2011 IEEE Energy Conversion Congress and Exposition. 87 indexed citations
19.
Wróbel, Rafał, et al.. (2011). Design study of a three-phase brushless exciter for aircraft starter/generator. Explore Bristol Research. 3998–4004. 23 indexed citations
20.
Yon, Jason, Phil Mellor, J.D. Booker, Rafał Wróbel, & Steve G Burrow. (2010). A semi-permeable containment sleeve for high-speed PM machines. 411–411. 2 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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