Thomas J. Hayward

1.4k total citations
77 papers, 1.1k citations indexed

About

Thomas J. Hayward is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Thomas J. Hayward has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atomic and Molecular Physics, and Optics, 29 papers in Electrical and Electronic Engineering and 23 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Thomas J. Hayward's work include Magnetic properties of thin films (41 papers), Magnetic Properties and Applications (17 papers) and Advanced Memory and Neural Computing (14 papers). Thomas J. Hayward is often cited by papers focused on Magnetic properties of thin films (41 papers), Magnetic Properties and Applications (17 papers) and Advanced Memory and Neural Computing (14 papers). Thomas J. Hayward collaborates with scholars based in United Kingdom, United States and South Korea. Thomas J. Hayward's co-authors include D. A. Allwood, J. A. C. Bland, Fernando Castaño, C. A. Ross, Justin Llandro, D. Morecroft, Eleni Vasilaki, P. W. Fry, M. T. Bryan and Matthew O. A. Ellis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Thomas J. Hayward

74 papers receiving 1.0k citations

Peers

Thomas J. Hayward
Comparison fields: 5 of 73
  • Atomic and Molecular Physics, and Optics 650
  • Electrical and Electronic Engineering 429
  • Electronic, Optical and Magnetic Materials 294
  • Condensed Matter Physics 216
  • Biomedical Engineering 205
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Citations per field, relative to Thomas J. Hayward
Thomas J. Hayward · 1×
Citations per year, relative to Thomas J. Hayward
Thomas J. Hayward · 1×

Countries citing papers authored by Thomas J. Hayward

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Hayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Hayward. 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 Thomas J. Hayward. The network helps show where Thomas J. Hayward may publish in the future.

Co-authorship network of co-authors of Thomas J. Hayward

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Hayward. A scholar is included among the top collaborators of Thomas J. Hayward 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 Thomas J. Hayward. Thomas J. Hayward 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
# Work Indexed citations
1 0
2 2
3 4
4 45
5 12
6 13
7 7
8 36
9 12
10 5
11 25
12 9
13 5
14 1
15 7
16 15
17 15
18 9
19 27
20 3

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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