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Researcher · Mass General Brigham · United States

Tonya Hongsermeier

Tonya Hongsermeier publishes mostly in Health Information Management, Molecular Biology and Artificial Intelligence, on topics such as Electronic Health Records Systems, Biomedical Text Mining and Ontologies and Semantic Web and Ontologies.

OpenAlex
World rank
#1,630,859
of 7,710,434 ranked researchers
Rank in United States
#506,476
of 1,627,098
Works
50
Citations
1.1k
Citations per work
22.0
h-index
13
i10-index 14Top 20% in Health Information Management
Tonya Hongsermeier

What does Tonya Hongsermeier research?

Tonya Hongsermeier's work is mostly in Health Professions (40%), Biochemistry, Genetics and Molecular Biology (16%), Computer Science (10%).

Health Sciences: 22 works · 44.2% of their workHealth Professions: 20 works · 40.1% of their workHealth Information Management: 16 works · 31.1% of their workGeneral Health Professions: 4 works · 9.0% of their workMedicine: 2 works · 4.1% of their workPublic Health, Environmental and Occupational Health: 2 works · 4.1% of their workEverything else: 12 works · 23.9% of their workLife Sciences: 8 works · 16.4% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 16.4% of their workMolecular Biology: 8 works · 16.4% of their workPhysical Sciences: 5 works · 9.8% of their workComputer Science: 5 works · 9.8% of their workArtificial Intelligence: 5 works · 9.8% of their workSocial Sciences: 3 works · 5.7% of their workEconomics, Econometrics and Finance: 3 works · 5.7% of their workEconomics and Econometrics: 3 works · 5.7% of their workTHEIR WORKTonyaHongsermeier50works
Life Sciences16%Physical Sciences10%Health Sciences44%Social Sciences6%

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. Health Professions2040.1%
    2. Medicine24.1%
  2. Everything else1223.9%
    1. Biochemistry, Genetics and Molecular Biology816.4%
    1. Computer Science59.8%
    1. Economics, Econometrics and Finance35.7%
  1. 1Health Information Management31% of their works
  2. 2Molecular Biology16% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4General Health Professions9% of their works
  5. 5Economics and Econometrics6% of their works
  6. 6Public Health, Environmental and Occupational Health4% of their works

Research topics

Which keywords describe Tonya Hongsermeier's research?

The keywords of their largest research topics: Clinical Decision Support Systems, Data Integration, Electronic Health Records, Semantic Web, Knowledge Management, Biomedical Ontologies, Text Mining and Linked Data.

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. Clinical Decision Support Systems301 topic
  2. Data Integration302 topics
  3. Electronic Health Records301 topic
  4. Semantic Web302 topics
  5. Knowledge Management242 topics
  6. Biomedical Ontologies201 topic
  7. Text Mining201 topic
  8. Linked Data101 topic
  9. Ontology101 topic
  10. Communication51 topic
  11. Referral51 topic
  12. Clinical Coding41 topic
  13. Cost-effectiveness Analysis41 topic
  14. Evidence-Based Practice41 topic
  15. Healthcare Professionals41 topic
  16. ICD-1041 topic
  17. Quality of Life41 topic
  18. Clinical Guidelines31 topic
  19. Guideline Development31 topic

Where does Tonya Hongsermeier work?

Tonya Hongsermeier's main affiliation in the publication record is Mass General Brigham, United States.

How many publications and citations does Tonya Hongsermeier have?

OpenAlex counts 50 works and 1,098 citations for Tonya Hongsermeier, an h-index of 13, ranking #1,630,859 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.

Discussion

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