Michael J. Doyle

516 citations
22 papers · 325 · h-index 12

Impact in

Papers in

Michael J. Doyle

21 papers receiving 300 citations

Peers

Michael J. Doyle
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 62
  • Polymers and Plastics 112
  • Metals and Alloys 9
  • Computer Vision and Pattern Recognition 65
  • Mechanics of Materials 74
Replace Jason R. Brown with:
Jason R. Brown United States
David S. Clague United States
Christopher E. Goodyer United Kingdom
Qiaozhi He China
Xiaotian Li China
You Chen China
Zhiheng Wang China
Balaji Sesha Sarath Pokuri United States
Jianhua Zhu China
Jinhua Peng China
Michael J. Doyle relative to Jason R. Brown United States Jason R. Brown's profile →
Citations per field
00.5×3.6×
Jason R. Brown · 1×
Citations per year

Countries citing papers authored by Michael J. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michael J. Doyle, 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 J. Doyle Line = papers co-authored together Michael J. Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200054
2 202139
3 197930
4 201322
5 197319
6 197518
7 197917
8 199117
9 199117
10 202315
11 197212
12 197911
13 198211
14 198210
15 19758
16 19757
17 19917
18 20175
19 20124
20 20231

About Michael J. Doyle

Michael J. Doyle is a scholar working on Computer Graphics and Computer-Aided Design, Materials Chemistry, Computational Mechanics, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 22 papers that have together received 325 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (4 papers), Material Properties and Failure Mechanisms (4 papers), Polymer crystallization and properties (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Vision and Imaging (3 papers), Analytical Chemistry and Chromatography (3 papers) and Surface Roughness and Optical Measurements (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (62 citations), Polymers and Plastics (112 citations), Metals and Alloys (9 citations), Computer Vision and Pattern Recognition (65 citations) and Mechanics of Materials (74 citations). Michael J. Doyle has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Armand F. Lewis, Michael Manzke, J. K. Gillham, Colin Fowler, Robin D. Taylor, Frank H. Allen, Shinji Ogaki, Jiřı́ Bittner, Daniel Meister and Carsten Benthin. Their work appears in journals such as Journal of Materials Science, Acta Crystallographica Section B Structural Science, Polymer Engineering and Science, Computer Graphics Forum and CORROSION.

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