Thomas E. Doyle

79 papers receiving 934 citations

Thomas E. Doyle's Hit Papers

MLCM: Multi-Label Confusion Matrix 2022 · 254 citations
2540+1+2Years since publication50100150200250

Peers

Thomas E. Doyle
Comparison fields: 5 of 162
  • Health Informatics 67
  • Health Information Management 40
  • Architecture 14
  • Periodontics 34
  • Human-Computer Interaction 32
Replace Hyoun‐Joong Kong with:
Hyoun‐Joong Kong South Korea
Robert Koprowski Poland
Yung-Fu Chen Taiwan
Łukasz Kidziński United States
Yongwon Cho South Korea
José M. Celaya-Padilla Mexico
Andrius Vabalas United Kingdom
Jorge I. Galván-Tejada Mexico
Sun Kook Yoo South Korea
I Ketut Eddy Purnama Indonesia
Thomas E. Doyle relative to Hyoun‐Joong Kong South Korea Hyoun‐Joong Kong's profile →
Citations per field
00.5×5.7×
Hyoun‐Joong Kong · 1×
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MLCM: Multi-Label Confusion Matrix
Hit paper breakdown →
2022254
2 202172
3 199662
4 201459
5 201544
6 198227
7 202126
8 201724
9 201523
10 202222
11 201222
12 201921
13 201921
14 200617
15 198516
16 201814
17 201213
18 199111
19 202310
20 202410

About Thomas E. Doyle

Thomas E. Doyle is a scholar working on Artificial Intelligence, Biomedical Engineering, Architecture, Media Technology and Electrical and Electronic Engineering, having authored 85 papers that have together received 997 indexed citations. Recurring topics across this work include Engineering Education and Pedagogy (8 papers), Machine Learning in Healthcare (6 papers), Engineering Education and Curriculum Development (6 papers), EEG and Brain-Computer Interfaces (5 papers), Spaceflight effects on biology (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Neuroscience and Neural Engineering (5 papers) and ECG Monitoring and Analysis (5 papers). The work is most often cited by research in Health Informatics (67 citations), Health Information Management (40 citations), Architecture (14 citations), Periodontics (34 citations) and Human-Computer Interaction (32 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, Walter H. Ettinger, Robert Burns, Mary L. OʼToole, Stephen P. Messier, Margaret K. James and Timothy Morgan. Their work appears in journals such as IEEE Access, Experimental Biology and Medicine, Journal of Alzheimer s Disease, Applied Ergonomics and Sensors and Actuators B Chemical.

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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