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Researcher · University of Utah · United States

Lee M. Christensen

Lee M. Christensen publishes mostly in Artificial Intelligence, Molecular Biology and Epidemiology, on topics such as Biomedical Text Mining and Ontologies, Topic Modeling and Natural Language Processing Techniques.

ORCID 0000-0002-1161-9285 OpenAlex
World rank
#1,675,623
of 7,710,434 ranked researchers
Rank in United States
#518,878
of 1,627,098
Works
24
Citations
839
Citations per work
35.0
h-index
12
i10-index 14Top 32% in Artificial Intelligence
Lee M. Christensen

What does Lee M. Christensen research?

Lee M. Christensen's work is mostly in Computer Science (31%), Biochemistry, Genetics and Molecular Biology (19%), Medicine (16%).

Physical Sciences: 8 works · 31.3% of their workComputer Science: 8 works · 31.3% of their workArtificial Intelligence: 8 works · 31.3% of their workHealth Sciences: 6 works · 25.0% of their workMedicine: 4 works · 15.6% of their workCardiology and Cardiovascular Medicine: 2 works · 7.8% of their workEpidemiology: 2 works · 7.8% of their workHealth Professions: 2 works · 9.4% of their workGeneral Health Professions: 2 works · 6.3% of their workHealth Information Management: 1 works · 3.1% of their workEverything else: 6 works · 24.9% of their workLife Sciences: 5 works · 18.8% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 18.8% of their workMolecular Biology: 5 works · 18.8% of their workTHEIR WORKLee M.Christensen24works
Life Sciences19%Physical Sciences31%Health Sciences25%

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 Science831.3%
    1. Medicine415.6%
    2. Health Professions29.4%
  3. Everything else624.9%
    1. Biochemistry, Genetics and Molecular Biology518.8%
  1. 1Artificial Intelligence31% of their works
  2. 2Molecular Biology19% of their works
  3. 3Epidemiology8% of their works
  4. 4Cardiology and Cardiovascular Medicine8% of their works
  5. 5General Health Professions6% of their works
  6. 6Health Information Management3% of their works

Research topics

Which keywords describe Lee M. Christensen's research?

The keywords of their largest research topics: Biomedical Ontologies, Text Mining, Neural Networks, Word Representation, Neural Machine Translation, Statistical Machine Translation, Electronic Health Records and Chamber Quantification.

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 17 words, with their numbers
  1. Biomedical Ontologies121 topic
  2. Text Mining121 topic
  3. Neural Networks101 topic
  4. Word Representation101 topic
  5. Neural Machine Translation61 topic
  6. Statistical Machine Translation61 topic
  7. Electronic Health Records42 topics
  8. Chamber Quantification21 topic
  9. Clinical Decision Support Systems21 topic
  10. Deep Learning21 topic
  11. Echocardiography21 topic
  12. Food Insecurity21 topic
  13. Health Information Exchange21 topic
  14. Health Literacy21 topic
  15. Health Outcomes21 topic
  16. Healthcare21 topic
  17. eHealth21 topic

Where does Lee M. Christensen work?

Lee M. Christensen's main affiliation in the publication record is University of Utah, United States.

How many publications and citations does Lee M. Christensen have?

OpenAlex counts 24 works and 839 citations for Lee M. Christensen, an h-index of 12, ranking #1,675,623 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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