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Researcher · Icahn School of Medicine at Mount Sinai · United States

Benjamin Scott Glicksberg

Benjamin Scott Glicksberg publishes mostly in Artificial Intelligence, Health Informatics and Molecular Biology, on topics such as Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education and COVID-19 Clinical Research Studies.

ORCID 0000-0003-4515-8090 OpenAlex
World rank
#12,930
of 7,710,434 ranked researchers
Rank in United States
#4,505
of 1,627,098
Works
437
Citations
19k
Citations per work
44.5
h-index
65
i10-index 195Top 0.4% in Artificial Intelligence
Benjamin Scott Glicksberg

What does Benjamin Scott Glicksberg research?

Benjamin Scott Glicksberg's work is mostly in Medicine (19%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (12%).

Everything else: 239 works · 54.7% of their workHealth Sciences: 84 works · 19.3% of their workMedicine: 84 works · 19.3% of their workHealth Informatics: 33 works · 7.5% of their workRadiology, Nuclear Medicine and Imaging: 28 works · 6.5% of their workInfectious Diseases: 23 works · 5.3% of their workPhysical Sciences: 60 works · 13.8% of their workComputer Science: 60 works · 13.8% of their workArtificial Intelligence: 60 works · 13.8% of their workLife Sciences: 53 works · 12.2% of their workBiochemistry, Genetics and Molecular Biology: 53 works · 12.2% of their workMolecular Biology: 30 works · 6.8% of their workGenetics: 24 works · 5.4% of their workTHEIR WORKBenjamin ScottGlicksberg437works
Life Sciences12%Physical Sciences14%Health Sciences19%

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 else23954.7%
    1. Medicine8419.3%
    1. Computer Science6013.8%
    1. Biochemistry, Genetics and Molecular Biology5312.2%
  1. 1Artificial Intelligence14% of their works
  2. 2Health Informatics8% of their works
  3. 3Molecular Biology7% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Genetics5% of their works
  6. 6Infectious Diseases5% of their works

Research topics

Which keywords describe Benjamin Scott Glicksberg's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Artificial Intelligence, Medical Imaging, Electronic Health Records, Patient Similarity and Predictive Modeling.

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. Healthcare1822 topics
  2. Precision Medicine1822 topics
  3. Deep Learning1312 topics
  4. Artificial Intelligence1212 topics
  5. Medical Imaging1212 topics
  6. Electronic Health Records1162 topics
  7. Patient Similarity961 topic
  8. Predictive Modeling961 topic
  9. Clinical Decision Support861 topic
  10. Machine Learning861 topic
  11. Clinical Characteristics411 topic
  12. SARS-CoV-2411 topic
  13. COVID-19351 topic
  14. Convolutional Neural Networks351 topic
  15. Genetic Variation261 topic
  16. Genome-Wide Association261 topic
  17. Neural Networks261 topic
  18. Word Representation261 topic
  19. Biomedical Ontologies231 topic
  20. Text Mining231 topic
  21. Clinical Decision Support Systems201 topic
  22. Health Information Exchange201 topic

Where does Benjamin Scott Glicksberg work?

Benjamin Scott Glicksberg's main affiliation in the publication record is Icahn School of Medicine at Mount Sinai, United States.

How many publications and citations does Benjamin Scott Glicksberg have?

OpenAlex counts 437 works and 19,425 citations for Benjamin Scott Glicksberg, an h-index of 65, ranking #12,930 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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