Thomas E. Doyle

72 papers receiving 830 citations

Thomas E. Doyle's Hit Papers

MLCM: Multi-Label Confusion Matrix 2022 · 225 citations
2250+1+2Years since publication50100150200

Peers

Thomas E. Doyle
Comparison fields: 5 of 166
  • Health Informatics 64
  • Architecture 14
  • Health Information Management 34
  • Periodontics 32
  • Human-Computer Interaction 33
Replace Daniel Morillo with:
Daniel Morillo Spain
Hyoun‐Joong Kong South Korea
Andrius Vabalas United Kingdom
Robert Koprowski Poland
Łukasz Kidziński United States
Yung-Fu Chen Taiwan
Evanthia E. Tripoliti Greece
Sun Kook Yoo South Korea
Dimitrios Tsaopoulos Greece
Haewon Byeon South Korea
Thomas E. Doyle relative to Daniel Morillo Spain Daniel Morillo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas E. 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 Thomas E. Doyle Line = papers co-authored together Thomas E. Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MLCM: Multi-Label Confusion Matrix
Hit paper breakdown →
2022225
2 199662
3 202160
4 201459
5 201540
6 198227
7 201722
8 201222
9 201521
10 201920
11 202119
12 201919
13 202218
14 200616
15 198514
16 201212
17 201811
18 199111
19 20229
20 20119

About Thomas E. Doyle

Thomas E. Doyle is a scholar working on Biomedical Engineering, Artificial Intelligence, Architecture, Media Technology and Electrical and Electronic Engineering, having authored 77 papers that have together received 887 indexed citations. Recurring topics across this work include Engineering Education and Pedagogy (8 papers), Engineering Education and Curriculum Development (6 papers), Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (5 papers), ECG Monitoring and Analysis (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Spaceflight effects on biology (5 papers) and Space Exploration and Technology (4 papers). The work is most often cited by research in Health Informatics (64 citations), Architecture (14 citations), Health Information Management (34 citations), Periodontics (32 citations) and Human-Computer Interaction (33 citations). Thomas E. Doyle has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Reza Samavi, Mohammadreza Heydarian, Matiar M. R. Howlader, W.D. Greason, Timothy Morgan, Margaret K. James, Robert Burns, Stephen P. Messier, Walter H. Ettinger and Mary L. OʼToole. Their work appears in journals such as IEEE Access, Experimental Biology and Medicine, Radiology Artificial Intelligence, Journal of Surgical Research and Applied Ergonomics.

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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