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Researcher · Harvard University · United States

Sujay S Kakarmath

Sujay S Kakarmath publishes mostly in Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management, on topics such as Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Non-Invasive Vital Sign Monitoring.

ORCID 0000-0002-9870-8773 OpenAlex
World rank
#2,051,410
of 7,710,434 ranked researchers
Rank in United States
#620,970
of 1,627,098
Works
36
Citations
1.5k
Citations per work
40.8
h-index
12
i10-index 12Top 32% in Artificial Intelligence
Sujay S Kakarmath

What does Sujay S Kakarmath research?

Sujay S Kakarmath's work is mostly in Medicine (24%), Computer Science (11%), Health Professions (10%).

Everything else: 17 works · 48.5% of their workHealth Sciences: 12 works · 34.0% of their workMedicine: 9 works · 23.7% of their workCardiology and Cardiovascular Medicine: 4 works · 11.3% of their workEpidemiology: 2 works · 6.2% of their workPediatrics, Perinatology and Child Health: 2 works · 6.2% of their workHealth Professions: 4 works · 10.3% of their workHealth Information Management: 4 works · 10.3% of their workPhysical Sciences: 6 works · 17.5% of their workComputer Science: 4 works · 11.3% of their workArtificial Intelligence: 4 works · 11.3% of their workEngineering: 2 works · 6.2% of their workBiomedical Engineering: 2 works · 6.2% of their workTHEIR WORKSujay S Kakarmath36works
Physical Sciences18%Health Sciences34%

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 else1748.5%
    1. Medicine923.7%
    2. Health Professions410.3%
    1. Computer Science411.3%
    2. Engineering26.2%
  1. 1Artificial Intelligence11% of their works
  2. 2Cardiology and Cardiovascular Medicine11% of their works
  3. 3Health Information Management10% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Pediatrics, Perinatology and Child Health6% of their works
  6. 6Epidemiology6% of their works

Research topics

Which keywords describe Sujay S Kakarmath's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Cardiovascular Disease, Machine Learning, Deep Learning, Electronic Health Records, Epidemiology and Heart Rate Variability.

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.

All 22 words, with their numbers
  1. Healthcare183 topics
  2. Precision Medicine122 topics
  3. Cardiovascular Disease103 topics
  4. Machine Learning102 topics
  5. Deep Learning81 topic
  6. Electronic Health Records81 topic
  7. Epidemiology82 topics
  8. Heart Rate Variability82 topics
  9. Big Data Analytics61 topic
  10. Medical Diagnosis61 topic
  11. Photoplethysmography51 topic
  12. Remote Monitoring51 topic
  13. Artificial Intelligence41 topic
  14. Chronic Conditions41 topic
  15. Guidelines41 topic
  16. Heart Failure41 topic
  17. Medical Imaging41 topic
  18. Multimorbidity41 topic
  19. Autonomic Nervous System31 topic
  20. Medical Admissions31 topic
  21. Non-Communicable Diseases31 topic
  22. Physiological Time Series31 topic

Where does Sujay S Kakarmath work?

Sujay S Kakarmath's main affiliation in the publication record is Harvard University, United States.

How many publications and citations does Sujay S Kakarmath have?

OpenAlex counts 36 works and 1,469 citations for Sujay S Kakarmath, an h-index of 12, ranking #2,051,410 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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