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Researcher · Columbia University · United States

George M. Hripcsak

George M. Hripcsak publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Biomedical Text Mining and Ontologies, Electronic Health Records Systems and Machine Learning in Healthcare.

ORCID 0000-0003-2664-7614 OpenAlex
World rank
#35,863
of 7,710,434 ranked researchers
Rank in United States
#13,695
of 1,627,098
Works
679
Citations
31k
Citations per work
45.1
h-index
84
i10-index 345Top 0.1% in Artificial Intelligence
George M. Hripcsak

What does George M. Hripcsak research?

George M. Hripcsak's work is mostly in Biochemistry, Genetics and Molecular Biology (16%), Computer Science (13%), Medicine (9%).

Everything else: 356 works · 52.4% of their workHealth Sciences: 124 works · 18.3% of their workMedicine: 64 works · 9.4% of their workEndocrinology, Diabetes and Metabolism: 32 works · 4.7% of their workEpidemiology: 32 works · 4.7% of their workHealth Professions: 60 works · 8.9% of their workHealth Information Management: 60 works · 8.9% of their workLife Sciences: 111 works · 16.4% of their workBiochemistry, Genetics and Molecular Biology: 111 works · 16.4% of their workMolecular Biology: 86 works · 12.7% of their workGenetics: 25 works · 3.7% of their workPhysical Sciences: 88 works · 12.9% of their workComputer Science: 88 works · 12.9% of their workArtificial Intelligence: 88 works · 12.9% of their workTHEIR WORKGeorge M.Hripcsak679works
Life Sciences16%Physical Sciences13%Health Sciences18%

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. Everything else35652.4%
    1. Medicine649.4%
    2. Health Professions608.9%
    1. Biochemistry, Genetics and Molecular Biology11116.4%
    1. Computer Science8812.9%
  1. 1Artificial Intelligence13% of their works
  2. 2Molecular Biology13% of their works
  3. 3Health Information Management9% of their works
  4. 4Epidemiology5% of their works
  5. 5Endocrinology, Diabetes and Metabolism5% of their works
  6. 6Genetics4% of their works

Research topics

Which keywords describe George M. Hripcsak's research?

The keywords of their largest research topics: Electronic Health Records, Data Integration, Semantic Web, Biomedical Ontologies, Text Mining, Clinical Decision Support Systems, Health Information Exchange and Deep Learning.

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 19 words, with their numbers
  1. Electronic Health Records2162 topics
  2. Data Integration2032 topics
  3. Semantic Web2032 topics
  4. Biomedical Ontologies1461 topic
  5. Text Mining1461 topic
  6. Clinical Decision Support Systems1341 topic
  7. Health Information Exchange1341 topic
  8. Deep Learning821 topic
  9. Healthcare821 topic
  10. Linked Data571 topic
  11. Ontology571 topic
  12. Neural Networks401 topic
  13. Word Representation401 topic
  14. Clinical Characteristics381 topic
  15. SARS-CoV-2381 topic
  16. Molecular Docking351 topic
  17. Virtual Screening351 topic
  18. Diabetes311 topic
  19. Hypoglycemia311 topic

Where does George M. Hripcsak work?

George M. Hripcsak's main affiliation in the publication record is Columbia University, United States.

How many publications and citations does George M. Hripcsak have?

OpenAlex counts 679 works and 30,592 citations for George M. Hripcsak, an h-index of 84, ranking #35,863 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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