Nick Simpson

1.4k total citations
62 papers, 1.1k citations indexed

About

Nick Simpson is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Nick Simpson has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 39 papers in Mechanical Engineering and 16 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Nick Simpson's work include Electric Motor Design and Analysis (40 papers), Induction Heating and Inverter Technology (18 papers) and Magnetic Properties and Applications (16 papers). Nick Simpson is often cited by papers focused on Electric Motor Design and Analysis (40 papers), Induction Heating and Inverter Technology (18 papers) and Magnetic Properties and Applications (16 papers). Nick Simpson collaborates with scholars based in United Kingdom, Germany and China. Nick Simpson's co-authors include Phil Mellor, Rafał Wróbel, Antonio Griffo, James Goss, Sabrina Ayat, Christopher J. Tighe, Dave Staton, John Robinson, Arun Arjunan and J.D. Booker and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and Materials.

In The Last Decade

Nick Simpson

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Simpson United Kingdom 17 947 705 445 319 172 62 1.1k
Shafigh Nategh Sweden 15 776 0.8× 515 0.7× 422 0.9× 325 1.0× 72 0.4× 45 917
Pia Lindh Finland 19 1.1k 1.2× 512 0.7× 588 1.3× 639 2.0× 81 0.5× 78 1.2k
Dave Staton United Kingdom 17 1.0k 1.1× 627 0.9× 507 1.1× 463 1.5× 80 0.5× 37 1.1k
W. Q. Chu United Kingdom 23 1.7k 1.8× 404 0.6× 779 1.8× 997 3.1× 99 0.6× 42 1.8k
Luca Ferraris Italy 17 805 0.9× 524 0.7× 713 1.6× 356 1.1× 38 0.2× 101 1.2k
James Goss United Kingdom 23 1.5k 1.6× 869 1.2× 714 1.6× 728 2.3× 173 1.0× 53 1.8k
Marco Cossale Italy 17 743 0.8× 474 0.7× 487 1.1× 224 0.7× 43 0.3× 40 854
Abdeslam Mebarki United Kingdom 14 1.1k 1.2× 493 0.7× 429 1.0× 702 2.2× 54 0.3× 29 1.2k
Juliette Soulard Sweden 22 1.3k 1.4× 650 0.9× 836 1.9× 641 2.0× 55 0.3× 83 1.6k
Yew Chuan Chong United Kingdom 16 1.0k 1.1× 686 1.0× 438 1.0× 490 1.5× 110 0.6× 39 1.3k

Countries citing papers authored by Nick Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Nick Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Simpson. A scholar is included among the top collaborators of Nick Simpson 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 Nick Simpson. Nick Simpson 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.
Nassehi, Aydin, et al.. (2024). Development of a computational design tool for the automatic routing of hairpin end-windings. IET conference proceedings.. 2024(3). 539–546. 1 indexed citations
2.
Stewart, Alexander, Nick Simpson, & Phil Mellor. (2024). Adaptive laser machining and synchronous reluctance machine design. 5565–5572.
3.
Pang, Yongxin, et al.. (2024). Investigation of Post Processing and Robust Insulation of High-Performance Additively Manufactured Al-Fe-Zr Electrical Machine Windings. Bristol Research (University of Bristol). 361–365. 1 indexed citations
4.
Mellor, Phil, et al.. (2024). Opportunities for AC Loss Reduction in Metal Additive Formed Hairpin Windings. 1–7. 2 indexed citations
5.
Pang, Yongxin, et al.. (2023). Fabrication of Insulation Coatings on Additively Manufactured CuCrZr Electrical Windings. IEEE Transactions on Dielectrics and Electrical Insulation. 31(1). 505–512. 5 indexed citations
6.
Simpson, Nick, et al.. (2023). Simplified Motorette Test Evaluation of AC Loss in Motor Windings. Bristol Research (University of Bristol). 4620–4627. 1 indexed citations
7.
Simpson, Nick, et al.. (2023). Verifying Strand Transposition in Stator Windings via X-ray Computed Tomography derived Three-Dimensional Models. Bristol Research (University of Bristol). 1–6.
8.
Cameron, Angus, et al.. (2023). Low Temperature Loss-Analysis of SiC MOSFETs for Integrated Motor Drive Applications. Explore Bristol Research. 4. 2160–2167. 1 indexed citations
9.
Simpson, Nick, et al.. (2023). Statistical Simulation of Conductor Lay in Random Windings via X-ray Computed Tomography of Electric Vehicle Stators. Bristol Research (University of Bristol). 3837–3844.
10.
Simpson, Nick, et al.. (2022). Functionally Graded Electrical Windings Enabled by Additive Manufacturing. 2022 International Conference on Electrical Machines (ICEM). 1477–1483. 10 indexed citations
11.
Robinson, John, et al.. (2022). Electrical Conductivity of Additively Manufactured Copper and Silver for Electrical Winding Applications. Materials. 15(21). 7563–7563. 18 indexed citations
12.
Mitchell, R. L., et al.. (2022). Characterisation of Compressed Windings via High Resolution X-ray Computed Tomography and Semi-Automatic Segmentation. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 1–6. 1 indexed citations
13.
Simpson, Nick, et al.. (2021). Experimental Determination of Conductor Lay and Impact on AC Loss in Volume Manufactured Machines using X-Ray Computed Tomography. Explore Bristol Research. 3873–3880. 5 indexed citations
14.
Simpson, Nick, et al.. (2021). Additive Manufacturing of a Conformal Hybrid-Strand Concentrated Winding Topology for Minimal AC Loss in Electrical Machines. Bristol Research (University of Bristol). 3844–3851. 24 indexed citations
15.
Ayat, Sabrina, et al.. (2020). Design of Shaped-Profile Electrical Machine Windings for Multi-Material Additive Manufacture. Bristol Research (University of Bristol). 1554–1559. 22 indexed citations
16.
Simpson, Nick, et al.. (2020). Identifying AC Loss Distributions in Electrical Machines through Experimentally Informed Virtual Prototyping. Explore Bristol Research. 3642–3648. 3 indexed citations
17.
Simpson, Nick, Christopher J. Tighe, & Phil Mellor. (2019). Design of High Performance Shaped Profile Windings for Additive Manufacture. 761–768. 24 indexed citations
18.
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
19.
Simpson, Nick, Rafał Wróbel, & Phil Mellor. (2014). A General Arc-Segment Element for Three-Dimensional Thermal Modeling. IEEE Transactions on Magnetics. 50(2). 265–268. 45 indexed citations
20.
Simpson, Nick, Rafał Wróbel, & Phil Mellor. (2013). Estimation of Equivalent Thermal Parameters of Impregnated Electrical Windings. IEEE Transactions on Industry Applications. 49(6). 2505–2515. 251 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shafigh Nategh Breakdown of academic impact, for papers by Pia Lindh Breakdown of academic impact, for papers by Dave Staton Breakdown of academic impact, for papers by W. Q. Chu Breakdown of academic impact, for papers by Luca Ferraris Breakdown of academic impact, for papers by James Goss Breakdown of academic impact, for papers by Marco Cossale Breakdown of academic impact, for papers by Abdeslam Mebarki Breakdown of academic impact, for papers by Juliette Soulard Breakdown of academic impact, for papers by Yew Chuan Chong
Rankless by CCL
2026