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Researcher · AureoGen Biosciences (United States) · United States

Marina Sapir

Marina Sapir publishes mostly in Artificial Intelligence, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, on topics such as Rough Sets and Fuzzy Logic, Neural Networks and Applications and Prostate Cancer Diagnosis and Treatment.

OpenAlex
World rank
#3,584,697
of 7,710,434 ranked researchers
Rank in United States
#998,431
of 1,627,098
Works
28
Citations
291
Citations per work
10.4
h-index
5
i10-index 5Top 82% in Artificial Intelligence
Marina Sapir

What does Marina Sapir research?

Marina Sapir's work is mostly in Computer Science (45%), Medicine (13%), Biochemistry, Genetics and Molecular Biology (9%).

Physical Sciences: 15 works · 53.9% of their workComputer Science: 13 works · 44.7% of their workArtificial Intelligence: 8 works · 28.9% of their workComputational Theory and Mathematics: 3 works · 10.5% of their workInformation Systems: 1 works · 5.3% of their workMathematics: 3 works · 9.2% of their workStatistics and Probability: 3 works · 9.2% of their workEverything else: 7 works · 23.7% of their workHealth Sciences: 4 works · 13.2% of their workMedicine: 4 works · 13.2% of their workPulmonary and Respiratory Medicine: 4 works · 13.2% of their workLife Sciences: 3 works · 9.2% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 9.2% of their workMolecular Biology: 3 works · 9.2% of their workTHEIR WORKMarina Sapir28works
Life Sciences9%Physical Sciences54%Health Sciences13%

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 Science1344.7%
    2. Mathematics39.2%
  2. Everything else723.7%
    1. Medicine413.2%
    1. Biochemistry, Genetics and Molecular Biology39.2%
  1. 1Artificial Intelligence29% of their works
  2. 2Pulmonary and Respiratory Medicine13% of their works
  3. 3Computational Theory and Mathematics10% of their works
  4. 4Statistics and Probability9% of their works
  5. 5Molecular Biology9% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Marina Sapir's research?

The keywords of their largest research topics: Deep Learning, Prostate Cancer, Granular Computing, Rough Sets, Neural Networks, Self-Organizing Maps, Radiation Therapy and Screening.

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 18 words, with their numbers
  1. Deep Learning102 topics
  2. Prostate Cancer92 topics
  3. Granular Computing71 topic
  4. Rough Sets71 topic
  5. Neural Networks61 topic
  6. Self-Organizing Maps61 topic
  7. Radiation Therapy51 topic
  8. Screening51 topic
  9. Active Learning41 topic
  10. Androgen Receptor41 topic
  11. Genomic Profiling41 topic
  12. Machine Learning41 topic
  13. Regularization41 topic
  14. Variable Selection41 topic
  15. Hyperparameter Optimization31 topic
  16. Noisy Labels31 topic
  17. Quantitative31 topic
  18. Real-Time PCR31 topic

Where does Marina Sapir work?

Marina Sapir's main affiliation in the publication record is AureoGen Biosciences (United States), United States.

How many publications and citations does Marina Sapir have?

OpenAlex counts 28 works and 291 citations for Marina Sapir, an h-index of 5, ranking #3,584,697 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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