Philip Machura

600 total citations
10 papers, 455 citations indexed

About

Philip Machura is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Automotive Engineering. According to data from OpenAlex, Philip Machura has authored 10 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Condensed Matter Physics and 3 papers in Automotive Engineering. Recurrent topics in Philip Machura's work include Physics of Superconductivity and Magnetism (6 papers), Wireless Power Transfer Systems (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Philip Machura is often cited by papers focused on Physics of Superconductivity and Magnetism (6 papers), Wireless Power Transfer Systems (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Philip Machura collaborates with scholars based in United Kingdom, Italy and China. Philip Machura's co-authors include Quan Li, Hongye Zhang, Markus Mueller, Valerio De Santis, Hongyi Chen, Ying Xin, Zhenan Jiang and Ali Ghrayeb and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Vehicular Technology and Superconductor Science and Technology.

In The Last Decade

Philip Machura

10 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Machura United Kingdom	7	377	160	148	105	39	10	455
Grayson Zulauf United States	17	952 2.5×	81 0.5×	323 2.2×	41 0.4×	54 1.4×	37	995
Sombuddha Chakraborty United States	13	662 1.8×	192 1.2×	41 0.3×	83 0.8×	21 0.5×	33	705
Anthony D. Sagneri United States	11	1.3k 3.3×	62 0.4×	131 0.9×	69 0.7×	58 1.5×	11	1.3k
Michael de Rooij United States	14	819 2.2×	75 0.5×	230 1.6×	32 0.3×	29 0.7×	47	849
Sanghyeon Park United States	8	359 1.0×	29 0.2×	108 0.7×	56 0.5×	13 0.3×	25	395
Phyo Aung Kyaw United States	11	456 1.2×	51 0.3×	32 0.2×	103 1.0×	18 0.5×	24	493
Chao-Tsung Ma Taiwan	9	323 0.9×	85 0.5×	79 0.5×	41 0.4×	47 1.2×	28	378
Aaron L. F. Stein United States	10	426 1.1×	47 0.3×	30 0.2×	102 1.0×	19 0.5×	20	449
D. Brian United States	15	669 1.8×	50 0.3×	222 1.5×	50 0.5×	14 0.4×	61	687

Countries citing papers authored by Philip Machura

Since Specialization

Citations

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

Fields of papers citing papers by Philip Machura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Machura

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Machura. A scholar is included among the top collaborators of Philip Machura 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 Philip Machura. Philip Machura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Zhang, Hongye, et al.. (2021). Conceptual Design of Electrodynamic Wheels Based on HTS Halbach Array Magnets. IEEE Transactions on Applied Superconductivity. 31(5). 1–6. 14 indexed citations

Machura, Philip & Quan Li. (2021). AC Loss Reduction Through Flux Diverters for Superconducting Wireless Charging Coils at High Frequencies. IEEE Transactions on Applied Superconductivity. 31(3). 1–10. 6 indexed citations

Machura, Philip, Valerio De Santis, & Quan Li. (2020). Driving Range of Electric Vehicles Charged by Wireless Power Transfer. IEEE Transactions on Vehicular Technology. 69(6). 5968–5982. 66 indexed citations

Machura, Philip, et al.. (2020). Loss characteristics of superconducting pancake, solenoid and spiral coils for wireless power transfer. Superconductor Science and Technology. 33(7). 74008–74008. 19 indexed citations

Zhang, Hongye, et al.. (2020). T - formulation based numerical modelling of dynamic loss with a DC background field. Journal of Physics Conference Series. 1559(1). 12145–12145. 3 indexed citations

Zhang, Hongye, et al.. (2020). Dynamic loss and magnetization loss of HTS coated conductors, stacks, and coils for high-speed synchronous machines. Superconductor Science and Technology. 33(8). 84008–84008. 64 indexed citations

Zhang, Hongye, et al.. (2020). Dynamic loss of HTS field windings in rotating electric machines. Superconductor Science and Technology. 33(4). 45014–45014. 17 indexed citations

Zhang, Hongye, Philip Machura, Markus Mueller, et al.. (2019). Modelling of electromagnetic loss in HTS coated conductors over a wide frequency band. Superconductor Science and Technology. 33(2). 25004–25004. 58 indexed citations

Machura, Philip & Quan Li. (2019). A critical review on wireless charging for electric vehicles. Renewable and Sustainable Energy Reviews. 104. 209–234. 204 indexed citations

10.

Ghrayeb, Ali, et al.. (2012). A Year in Review: Summarizing Published Literature in Music Therapy in 2011. Music Therapy Perspectives. 30(2). 117–129. 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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