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Researcher · Universidade Federal da Paraíba · Brazil

Danielle Martins do Nascimento Oliveira

Danielle Martins do Nascimento Oliveira publishes mostly in General Health Professions, Information Systems and Education, on topics such as Healthcare during COVID-19 Pandemic, Health, Nursing, Elderly Care and Healthcare Regulation.

ORCID 0000-0001-5413-4731 OpenAlex
World rank
#5,754,374
of 7,710,434 ranked researchers
Rank in Brazil
#129,609
of 253,246
Works
26
Citations
46
Citations per work
1.8
h-index
4
i10-index 1Top 82% in General Health Professions
Danielle Martins do Nascimento Oliveira

What does Danielle Martins do Nascimento Oliveira research?

Danielle Martins do Nascimento Oliveira's work is mostly in Health Professions (24%), Computer Science (13%), Medicine (11%).

Everything else: 11 works · 41.3% of their workHealth Sciences: 9 works · 34.9% of their workHealth Professions: 6 works · 23.8% of their workGeneral Health Professions: 4 works · 14.3% of their workOccupational Therapy: 2 works · 9.5% of their workMedicine: 3 works · 11.1% of their workPublic Health, Environmental and Occupational Health: 2 works · 6.3% of their workEpidemiology: 1 works · 4.8% of their workPhysical Sciences: 3 works · 12.7% of their workComputer Science: 3 works · 12.7% of their workInformation Systems: 3 works · 12.7% of their workSocial Sciences: 3 works · 11.1% of their workSocial Sciences: 3 works · 11.1% of their workEducation: 3 works · 11.1% of their workTHEIR WORKDanielle Martinsdo Nascimento…26works
Physical Sciences13%Health Sciences35%Social Sciences11%

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 else1141.3%
    1. Health Professions623.8%
    2. Medicine311.1%
    1. Computer Science312.7%
    1. Social Sciences311.1%
  1. 1General Health Professions14% of their works
  2. 2Information Systems13% of their works
  3. 3Education11% of their works
  4. 4Occupational Therapy10% of their works
  5. 5Public Health, Environmental and Occupational Health6% of their works
  6. 6Epidemiology5% of their works

Research topics

Which keywords describe Danielle Martins do Nascimento Oliveira's research?

The keywords of their largest research topics: Public Health, Quality of Life, Information Technology, Smart Library, Health Policy, Healthcare Access, Social Determinants and Brazilian Health System.

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 21 words, with their numbers
  1. Public Health93 topics
  2. Quality of Life93 topics
  3. Information Technology81 topic
  4. Smart Library81 topic
  5. Health Policy72 topics
  6. Healthcare Access72 topics
  7. Social Determinants52 topics
  8. Brazilian Health System41 topic
  9. Primary Care41 topic
  10. Healthcare Regulation31 topic
  11. Judicialization31 topic
  12. Medication31 topic
  13. Mental Health31 topic
  14. Nursing Diagnoses31 topic
  15. Nursing Documentation31 topic
  16. Occupational Stress31 topic
  17. Patient Safety31 topic
  18. Child Health21 topic
  19. Maternal Health21 topic
  20. Pressure Ulcers21 topic
  21. Risk Assessment21 topic

Where does Danielle Martins do Nascimento Oliveira work?

Danielle Martins do Nascimento Oliveira's main affiliation in the publication record is Universidade Federal da Paraíba, Brazil.

How many publications and citations does Danielle Martins do Nascimento Oliveira have?

OpenAlex counts 26 works and 46 citations for Danielle Martins do Nascimento Oliveira, an h-index of 4, ranking #5,754,374 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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