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Researcher · Mitre (United States) · United States

John S. Aberdeen

John S. Aberdeen publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Topic Modeling, Natural Language Processing Techniques and Biomedical Text Mining and Ontologies.

ORCID 0000-0002-0112-1037 OpenAlex
World rank
#729,999
of 7,710,434 ranked researchers
Rank in United States
#245,868
of 1,627,098
Works
57
Citations
2.6k
Citations per work
46.1
h-index
21
i10-index 30Top 12% in Artificial Intelligence
John S. Aberdeen

What does John S. Aberdeen research?

John S. Aberdeen's work is mostly in Computer Science (57%), Biochemistry, Genetics and Molecular Biology (8%), Health Professions (6%).

Physical Sciences: 32 works · 56.5% of their workComputer Science: 32 works · 56.5% of their workArtificial Intelligence: 30 works · 52.6% of their workInformation Systems: 2 works · 3.9% of their workEverything else: 12 works · 21.5% of their workLife Sciences: 6 works · 11.0% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 8.4% of their workMolecular Biology: 5 works · 8.4% of their workNeuroscience: 1 works · 2.6% of their workCognitive Neuroscience: 1 works · 2.6% of their workHealth Sciences: 3 works · 5.8% of their workHealth Professions: 3 works · 5.8% of their workHealth Information Management: 3 works · 5.8% of their workSocial Sciences: 3 works · 5.2% of their workSocial Sciences: 3 works · 5.2% of their workLaw: 3 works · 5.2% of their workTHEIR WORKJohn S. Aberdeen57works
Life Sciences11%Physical Sciences57%Health Sciences6%Social Sciences5%

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 Science3256.5%
  2. Everything else1221.5%
    1. Biochemistry, Genetics and Molecular Biology58.4%
    2. Neuroscience12.6%
    1. Health Professions35.8%
    1. Social Sciences35.2%
  1. 1Artificial Intelligence53% of their works
  2. 2Molecular Biology8% of their works
  3. 3Health Information Management6% of their works
  4. 4Law5% of their works
  5. 5Information Systems4% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe John S. Aberdeen's research?

The keywords of their largest research topics: Neural Networks, Word Representation, Data Integration, Semantic Web, Electronic Health Records, Neural Machine Translation, Statistical Machine Translation and Biomedical Ontologies.

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.

All 19 words, with their numbers
  1. Neural Networks231 topic
  2. Word Representation231 topic
  3. Data Integration182 topics
  4. Semantic Web182 topics
  5. Electronic Health Records162 topics
  6. Neural Machine Translation161 topic
  7. Statistical Machine Translation161 topic
  8. Biomedical Ontologies131 topic
  9. Text Mining131 topic
  10. Markov Decision Processes111 topic
  11. Spoken Dialogue Systems111 topic
  12. Clinical Decision Support Systems81 topic
  13. Deep Learning81 topic
  14. Health Information Exchange81 topic
  15. Healthcare81 topic
  16. Linked Data51 topic
  17. Ontology51 topic
  18. Agent-Based Modeling41 topic
  19. Multi-Agent Systems41 topic

Where does John S. Aberdeen work?

John S. Aberdeen's main affiliation in the publication record is Mitre (United States), United States.

How many publications and citations does John S. Aberdeen have?

OpenAlex counts 57 works and 2,626 citations for John S. Aberdeen, an h-index of 21, ranking #729,999 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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