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Researcher · B.S. Abdur Rahman Crescent Institute of Science & Technology · India

Salliah Shafi Bhat

Salliah Shafi Bhat publishes mostly in Health Information Management, Artificial Intelligence and Endocrinology, Diabetes and Metabolism, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and Imbalanced Data Classification Techniques.

ORCID 0000-0003-4704-4580 OpenAlex
World rank
#997,433
of 7,710,434 ranked researchers
Rank in India
#13,952
of 280,097
Works
24
Citations
355
Citations per work
14.8
h-index
8
i10-index 8Top 42% in Health Information Management
Salliah Shafi Bhat

What does Salliah Shafi Bhat research?

Salliah Shafi Bhat's work is mostly in Computer Science (42%), Health Professions (38%), Medicine (11%).

Health Sciences: 12 works · 49.0% of their workHealth Professions: 9 works · 37.7% of their workHealth Information Management: 9 works · 37.7% of their workMedicine: 3 works · 11.3% of their workEndocrinology, Diabetes and Metabolism: 2 works · 7.5% of their workComplementary and alternative medicine: 1 works · 3.8% of their workPhysical Sciences: 10 works · 41.5% of their workComputer Science: 10 works · 41.5% of their workArtificial Intelligence: 8 works · 32.1% of their workInformation Systems: 2 works · 7.5% of their workComputer Networks and Communications: 0 works · 1.9% of their workEverything else: 2 works · 9.5% of their workTHEIR WORKSalliah ShafiBhat24works
Physical Sciences42%Health Sciences49%

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 Professions937.7%
    2. Medicine311.3%
    1. Computer Science1041.5%
  3. Everything else29.5%
  1. 1Health Information Management38% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Endocrinology, Diabetes and Metabolism8% of their works
  4. 4Information Systems8% of their works
  5. 5Complementary and alternative medicine4% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Salliah Shafi Bhat's research?

The keywords of their largest research topics: Healthcare, Machine Learning, Feature Selection, Big Data Analytics, Medical Diagnosis, Precision Medicine, Deep Learning and Electronic Health Records.

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. Healthcare292 topics
  2. Machine Learning223 topics
  3. Feature Selection212 topics
  4. Big Data Analytics201 topic
  5. Medical Diagnosis201 topic
  6. Precision Medicine112 topics
  7. Deep Learning102 topics
  8. Electronic Health Records91 topic
  9. Predictive Modeling91 topic
  10. Classification31 topic
  11. Diabetes31 topic
  12. Hypoglycemia31 topic
  13. Imbalanced Data31 topic
  14. Ayurveda21 topic
  15. Traditional Chinese Medicine21 topic
  16. Affective States11 topic
  17. Gene Expression11 topic
  18. Histopathology Images11 topic
  19. Intelligent Tutoring Systems11 topic
  20. Medical Image Analysis11 topic
  21. Microarray11 topic

Where does Salliah Shafi Bhat work?

Salliah Shafi Bhat's main affiliation in the publication record is B.S. Abdur Rahman Crescent Institute of Science & Technology, India.

How many publications and citations does Salliah Shafi Bhat have?

OpenAlex counts 24 works and 355 citations for Salliah Shafi Bhat, an h-index of 8, ranking #997,433 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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