Michael Daly

20 papers receiving 535 citations

Peers

Michael Daly
Comparison fields: 5 of 68
  • Structural Biology 67
  • Metals and Alloys 28
  • Surfaces, Coatings and Films 67
  • Biomaterials 78
  • Polymers and Plastics 81
Replace James Carr with:
James Carr United Kingdom
László Pethő Switzerland
Rajaprakash Ramachandramoorthy Germany
Marco DiMichiel France
Nicole Overman United States
P.J. Ferreira United States
Malgorzata Kopycinska‐Müller Germany
Matheus A. Tunes Austria
Nikolaus L. Cordes United States
J. Sévely France
Michael Daly relative to James Carr United Kingdom James Carr's profile →
Citations per field
00.5×4.8×
James Carr · 1×
Citations per year

Countries citing papers authored by Michael Daly

Since Specialization
Citations

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

Fields of papers citing papers by Michael Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Daly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Daly Line = papers co-authored together Michael Daly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015243
2 2016114
3 202246
4 201735
5 201623
6 202215
7 201313
8 202111
9 20178
10 20247
11 20236
12 20235
13 20235
14 20243
15 20243
16 20133
17 20142
18 20121
19 20191
20
Advanced assessment of ductile tearing in nuclear reactor pressure vessel steel using X-ray tomography
20131

About Michael Daly

Michael Daly is a scholar working on Biomedical Engineering, Materials Chemistry, Mechanical Engineering, Aerospace Engineering and Polymers and Plastics, having authored 20 papers that have together received 545 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (7 papers), Particle accelerators and beam dynamics (6 papers), Metal Forming Simulation Techniques (4 papers), Fusion materials and technologies (4 papers), Metallurgy and Material Forming (3 papers), Microstructure and Mechanical Properties of Steels (3 papers), Polymer Nanocomposites and Properties (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (67 citations), Metals and Alloys (28 citations), Surfaces, Coatings and Films (67 citations), Biomaterials (78 citations) and Polymers and Plastics (81 citations). Michael Daly has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Philip J. Withers, Timothy L. Burnett, R. J. Kelley, A. Gholinia, B. Winiarski, Lorenzo Contreras, M.G. Burke, Ian Major, Clement L. Higginbotham and Zhi Cao. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Journal of Applied Polymer Science, Ultramicroscopy and Applied Surface Science.

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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