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Researcher · Bishop's University · Canada

Naman Sanghvi

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

OpenAlex
World rank
#6,918,734
of 7,710,434 ranked researchers
Rank in Canada
#177,262
of 183,316
Works
17
Citations
11
Citations per work
0.6
h-index
1
i10-index 1Top 99.3% in Management Science and Operations Research
Naman Sanghvi

What does Naman Sanghvi research?

Naman Sanghvi's work is mostly in Computer Science (24%), Decision Sciences (16%), Environmental Science (12%).

Physical Sciences: 6 works · 36.6% of their workComputer Science: 4 works · 24.4% of their workArtificial Intelligence: 2 works · 12.2% of their workInformation Systems: 2 works · 12.2% of their workEnvironmental Science: 2 works · 12.2% of their workEnvironmental Engineering: 2 works · 12.2% of their workSocial Sciences: 5 works · 28.5% of their workDecision Sciences: 3 works · 16.3% of their workManagement Science and Operations Research: 3 works · 16.3% of their workSocial Sciences: 2 works · 12.2% of their workSafety Research: 2 works · 12.2% of their workEverything else: 4 works · 22.7% of their workHealth Sciences: 2 works · 12.2% of their workMedicine: 2 works · 12.2% of their workHealth Informatics: 2 works · 12.2% of their workTHEIR WORKNaman Sanghvi17works
Physical Sciences37%Health Sciences12%Social Sciences28%

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 Science424.4%
    2. Environmental Science212.2%
    1. Decision Sciences316.3%
    2. Social Sciences212.2%
  3. Everything else422.7%
    1. Medicine212.2%
  1. 1Management Science and Operations Research16% of their works
  2. 2Health Informatics12% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Safety Research12% of their works
  5. 5Environmental Engineering12% of their works
  6. 6Information Systems12% of their works

Research topics

Which keywords describe Naman Sanghvi's research?

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

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 Learning285 topics
  2. Artificial Intelligence244 topics
  3. Healthcare143 topics
  4. Big Data122 topics
  5. Precision Medicine82 topics
  6. Clinical Decision Support61 topic
  7. DIKW Hierarchy61 topic
  8. Data61 topic
  9. Ethics61 topic
  10. Fairness61 topic
  11. Internet of Things61 topic
  12. Medical Imaging61 topic
  13. Security61 topic
  14. Air Quality Monitoring41 topic
  15. Deep Learning42 topics
  16. Low-Cost Sensors41 topic
  17. Electronic Health Records21 topic
  18. Graph Embedding21 topic
  19. Interpretable Models21 topic
  20. Machine Learning Interpretability21 topic
  21. Predictive Modeling21 topic
  22. Visual Question Answering21 topic

Where does Naman Sanghvi work?

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

How many publications and citations does Naman Sanghvi have?

OpenAlex counts 17 works and 11 citations for Naman Sanghvi, an h-index of 1, ranking #6,918,734 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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