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Researcher · Halmstad University · Sweden

Monika Nair

Monika Nair publishes mostly in Health Informatics, Health Information Management and General Health Professions, on topics such as Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems and Health Policy Implementation Science.

ORCID 0000-0001-7610-0954 OpenAlex
World rank
#1,515,329
of 7,710,434 ranked researchers
Rank in Sweden
#19,634
of 71,437
Works
16
Citations
553
Citations per work
34.6
h-index
7
i10-index 7Top 50% in Health Informatics
Monika Nair

What does Monika Nair research?

Monika Nair's work is mostly in Medicine (40%), Health Professions (31%), Computer Science (6%).

Health Sciences: 11 works · 70.9% of their workMedicine: 6 works · 39.6% of their workHealth Informatics: 4 works · 25.0% of their workCardiology and Cardiovascular Medicine: 1 works · 8.3% of their workEpidemiology: 1 works · 6.3% of their workHealth Professions: 5 works · 31.3% of their workHealth Information Management: 3 works · 18.8% of their workGeneral Health Professions: 2 works · 12.5% of their workEverything else: 4 works · 22.8% of their workPhysical Sciences: 1 works · 6.3% of their workComputer Science: 1 works · 6.3% of their workArtificial Intelligence: 1 works · 6.3% of their workTHEIR WORKMonika Nair16works
Physical Sciences6%Health Sciences71%

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. Medicine639.6%
    2. Health Professions531.3%
  2. Everything else422.8%
    1. Computer Science16.3%
  1. 1Health Informatics25% of their works
  2. 2Health Information Management19% of their works
  3. 3General Health Professions12% of their works
  4. 4Cardiology and Cardiovascular Medicine8% of their works
  5. 5Epidemiology6% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Monika Nair's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Artificial Intelligence, Machine Learning, Electronic Health Records, Clinical Decision Support Systems, Health Information Exchange and Epidemiology.

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. Healthcare152 topics
  2. Precision Medicine152 topics
  3. Artificial Intelligence121 topic
  4. Machine Learning121 topic
  5. Electronic Health Records112 topics
  6. Clinical Decision Support Systems81 topic
  7. Health Information Exchange81 topic
  8. Epidemiology62 topics
  9. Implementation Science51 topic
  10. Qualitative Research51 topic
  11. Guidelines41 topic
  12. Heart Failure41 topic
  13. Quality of Life42 topics
  14. Deep Learning31 topic
  15. Predictive Modeling31 topic
  16. Chronic Conditions21 topic
  17. Cognitive Behavioral Therapy21 topic
  18. Cost-effectiveness Analysis21 topic
  19. Health Utility Measures21 topic
  20. Internet-based Interventions21 topic
  21. Multimorbidity21 topic

Where does Monika Nair work?

Monika Nair's main affiliation in the publication record is Halmstad University, Sweden.

How many publications and citations does Monika Nair have?

OpenAlex counts 16 works and 553 citations for Monika Nair, an h-index of 7, ranking #1,515,329 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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