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Researcher · Bishop's University · Canada

Niev Sanghvi

Niev Sanghvi publishes mostly in Artificial Intelligence, Management Science and Operations Research and Health Informatics, on topics such as Artificial Intelligence in Healthcare and Education, Internet of Things and AI and Knowledge Management and Technology.

OpenAlex
World rank
#7,317,925
of 7,710,434 ranked researchers
Rank in Canada
#180,529
of 183,316
Works
26
Citations
0
h-index
0
i10-index 0Top 100% in Artificial Intelligence
Niev Sanghvi

What does Niev Sanghvi research?

Niev Sanghvi's work is mostly in Computer Science (28%), Decision Sciences (13%), Medicine (10%).

Physical Sciences: 9 works · 35.9% of their workComputer Science: 7 works · 28.2% of their workArtificial Intelligence: 5 works · 20.5% of their workInformation Systems: 2 works · 7.7% of their workEnvironmental Science: 2 works · 7.7% of their workEnvironmental Engineering: 2 works · 7.7% of their workEverything else: 9 works · 33.3% of their workSocial Sciences: 5 works · 20.5% of their workDecision Sciences: 3 works · 12.8% of their workManagement Science and Operations Research: 3 works · 12.8% of their workSocial Sciences: 2 works · 7.7% of their workSafety Research: 2 works · 7.7% of their workHealth Sciences: 3 works · 10.3% of their workMedicine: 3 works · 10.3% of their workHealth Informatics: 3 works · 10.3% of their workTHEIR WORKNiev Sanghvi26works
Physical Sciences36%Health Sciences10%Social Sciences20%

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. Computer Science728.2%
    2. Environmental Science27.7%
  2. Everything else933.3%
    1. Decision Sciences312.8%
    2. Social Sciences27.7%
    1. Medicine310.3%
  1. 1Artificial Intelligence20% of their works
  2. 2Management Science and Operations Research13% of their works
  3. 3Health Informatics10% of their works
  4. 4Environmental Engineering8% of their works
  5. 5Safety Research8% of their works
  6. 6Information Systems8% of their works

Research topics

Which keywords describe Niev Sanghvi's research?

The keywords of their largest research topics: Machine Learning, Artificial Intelligence, Big Data, Healthcare, Precision Medicine, Clinical Decision Support, Deep Learning and Medical Imaging.

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 22 words, with their numbers
  1. Machine Learning305 topics
  2. Artificial Intelligence264 topics
  3. Big Data183 topics
  4. Healthcare183 topics
  5. Precision Medicine122 topics
  6. Clinical Decision Support81 topic
  7. Deep Learning82 topics
  8. Medical Imaging81 topic
  9. DIKW Hierarchy61 topic
  10. Data61 topic
  11. Ethics61 topic
  12. Fairness61 topic
  13. Internet of Things61 topic
  14. Security61 topic
  15. Air Quality Monitoring41 topic
  16. Analytics41 topic
  17. Business Intelligence41 topic
  18. Electronic Health Records41 topic
  19. Graph Embedding41 topic
  20. Low-Cost Sensors41 topic
  21. Predictive Modeling41 topic
  22. Visual Question Answering41 topic

Where does Niev Sanghvi work?

Niev Sanghvi's main affiliation in the publication record is Bishop's University, Canada.

How many publications and citations does Niev Sanghvi have?

OpenAlex counts 26 works and 0 citations for Niev Sanghvi, an h-index of 0, ranking #7,317,925 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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