Donald Reay

43 papers receiving 513 citations

Peers

Donald Reay
Comparison fields: 5 of 54
  • Electrical and Electronic Engineering 422
  • Control and Systems Engineering 348
  • Electronic, Optical and Magnetic Materials 147
  • Mechanical Engineering 124
  • Artificial Intelligence 66
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Countries citing papers authored by Donald Reay

Since Specialization
Citations

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

Fields of papers citing papers by Donald Reay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald Reay

This figure shows the co-authorship network connecting the top 25 collaborators of Donald Reay. A scholar is included among the top collaborators of Donald Reay 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 Donald Reay. Donald Reay 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
#WorkIndexed citations
1 3
2 11
3
Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK (Topics in Digital Signal Processing)
0
4
A practical approach for position control of a robotic manipulator using a radial basis function network and a simple vision system
5
5
Position control of a robotic manipulator using neural network and a simple vision system
1
6 89
7 49
8 1
9 8
10 13
11
Neural networks used for torque ripple minimisation from a switched reluctance motor
15
12 28
13 5
14 8
15 6
16 2
17
Modelling choices in intelligent systems
3
18 1
19
Minimisation of torque ripple in a switched reluctance motor using a neural network
7
20 5

About Donald Reay

Donald Reay is a scholar working on Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 45 papers that have together received 548 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (23 papers), Magnetic Bearings and Levitation Dynamics (14 papers) and Magnetic Properties and Applications (12 papers). The work is most often cited by research in Control and Systems Engineering (348 citations), Electronic, Optical and Magnetic Materials (147 citations) and Electrical and Electronic Engineering (422 citations). Donald Reay has collaborated with scholars based in United Kingdom and China. Frequent co-authors include B.W. Williams, Zhengyu Lin, Xiangning He, T.C. Green, Rulph Chassaing, Changjing Shang, Matthew W. Dunnigan, Bach Hoang Dinh, R.J. Richards and Ragi A. Hamdy. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Control Systems Technology.

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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