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Researcher · Federation University · Australia

John L. Yearwood

John L. Yearwood publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Semantic Web and Ontologies and Natural Language Processing Techniques.

ORCID 0000-0002-7562-6767 OpenAlex
World rank
#541,472
of 7,710,434 ranked researchers
Rank in Australia
#18,708
of 140,210
Works
315
Citations
6.1k
Citations per work
19.5
h-index
38
i10-index 116Top 2.5% in Artificial Intelligence
John L. Yearwood

What does John L. Yearwood research?

John L. Yearwood's work is mostly in Computer Science (55%), Medicine (3%).

Physical Sciences: 174 works · 55.1% of their workComputer Science: 174 works · 55.1% of their workArtificial Intelligence: 106 works · 33.6% of their workComputer Vision and Pattern Recognition: 23 works · 7.4% of their workInformation Systems: 22 works · 7.0% of their workComputational Theory and Mathematics: 14 works · 4.3% of their workComputer Networks and Communications: 9 works · 2.8% of their workEverything else: 132 works · 41.9% of their workHealth Sciences: 9 works · 3.0% of their workMedicine: 9 works · 3.0% of their workCardiology and Cardiovascular Medicine: 9 works · 3.0% of their workTHEIR WORKJohn L. Yearwood315works
Physical Sciences55%Health Sciences3%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science17455.1%
  2. Everything else13241.9%
    1. Medicine93.0%
  1. 1Artificial Intelligence34% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Information Systems7% of their works
  4. 4Computational Theory and Mathematics4% of their works
  5. 5Cardiology and Cardiovascular Medicine3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe John L. Yearwood's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Ontology, Semantic Web, Neural Machine Translation and Statistical Machine Translation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 18 words, with their numbers
  1. Neural Networks452 topics
  2. Machine Translation311 topic
  3. Word Representation311 topic
  4. Deep Learning282 topics
  5. Ontology251 topic
  6. Semantic Web251 topic
  7. Neural Machine Translation241 topic
  8. Statistical Machine Translation241 topic
  9. Agent-Based Modeling181 topic
  10. Dimensionality Reduction181 topic
  11. Face Recognition181 topic
  12. Multi-Agent Systems181 topic
  13. Arrhythmia Detection141 topic
  14. Backpropagation Learning141 topic
  15. ECG Signal141 topic
  16. Phishing141 topic
  17. Self-Organizing Maps141 topic
  18. Spam Detection141 topic

Where does John L. Yearwood work?

John L. Yearwood's main affiliation in the publication record is Federation University, Australia.

How many publications and citations does John L. Yearwood have?

OpenAlex counts 315 works and 6,147 citations for John L. Yearwood, an h-index of 38, ranking #541,472 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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