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Researcher · Regenstrief Institute · United States

Shaun J. Grannis

Shaun J. Grannis publishes mostly in Epidemiology, Health Information Management and Infectious Diseases, on topics such as Data-Driven Disease Surveillance, Electronic Health Records Systems and Data Quality and Management.

ORCID 0000-0002-8093-6639 OpenAlex
World rank
#125,034
of 7,710,434 ranked researchers
Rank in United States
#47,565
of 1,627,098
Works
302
Citations
7.3k
Citations per work
24.3
h-index
43
i10-index 128Top 4.4% in Epidemiology
Shaun J. Grannis

What does Shaun J. Grannis research?

Shaun J. Grannis's work is mostly in Medicine (28%), Health Professions (20%), Decision Sciences (8%).

Health Sciences: 146 works · 48.4% of their workMedicine: 85 works · 28.1% of their workEpidemiology: 51 works · 16.9% of their workInfectious Diseases: 34 works · 11.2% of their workHealth Professions: 61 works · 20.3% of their workHealth Information Management: 35 works · 11.5% of their workGeneral Health Professions: 27 works · 8.8% of their workEverything else: 113 works · 37.3% of their workSocial Sciences: 43 works · 14.3% of their workDecision Sciences: 23 works · 7.5% of their workManagement Science and Operations Research: 23 works · 7.5% of their workSocial Sciences: 21 works · 6.8% of their workHealth: 21 works · 6.8% of their workTHEIR WORKShaun J. Grannis302works
Health Sciences48%Social Sciences14%

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. Medicine8528.1%
    2. Health Professions6120.3%
  2. Everything else11337.3%
    1. Decision Sciences237.5%
    2. Social Sciences216.8%
  1. 1Epidemiology17% of their works
  2. 2Health Information Management12% of their works
  3. 3Infectious Diseases11% of their works
  4. 4General Health Professions9% of their works
  5. 5Management Science and Operations Research8% of their works
  6. 6Health7% of their works

Research topics

Which keywords describe Shaun J. Grannis's research?

The keywords of their largest research topics: Data Integration, Digital Epidemiology, Disease Surveillance, ACE2 Receptor, SARS-CoV-2, Clinical Decision Support Systems, Electronic Health Records and Data Cleaning.

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. Data Integration822 topics
  2. Digital Epidemiology791 topic
  3. Disease Surveillance791 topic
  4. ACE2 Receptor782 topics
  5. SARS-CoV-2782 topics
  6. Clinical Decision Support Systems721 topic
  7. Electronic Health Records721 topic
  8. Data Cleaning591 topic
  9. Record Linkage591 topic
  10. Coronavirus491 topic
  11. Vaccine491 topic
  12. COVID-19 Vaccine441 topic
  13. Vaccine Hesitancy441 topic
  14. Clinical Characteristics291 topic
  15. Epidemiology291 topic
  16. Health Promotion261 topic
  17. Public Health261 topic
  18. Biomedical Ontologies231 topic
  19. Text Mining231 topic

Where does Shaun J. Grannis work?

Shaun J. Grannis's main affiliation in the publication record is Regenstrief Institute, United States.

How many publications and citations does Shaun J. Grannis have?

OpenAlex counts 302 works and 7,347 citations for Shaun J. Grannis, an h-index of 43, ranking #125,034 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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