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Researcher · AureoGen Biosciences (United States) · United States

Mikhail Teverovskiy

Mikhail Teverovskiy publishes mostly in Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology, on topics such as AI in cancer detection, Prostate Cancer Diagnosis and Treatment and Molecular Biology Techniques and Applications.

OpenAlex
World rank
#2,565,828
of 7,710,434 ranked researchers
Rank in United States
#753,951
of 1,627,098
Works
22
Citations
756
Citations per work
34.4
h-index
10
i10-index 10Top 52% in Pulmonary and Respiratory Medicine
Mikhail Teverovskiy

What does Mikhail Teverovskiy research?

Mikhail Teverovskiy's work is mostly in Medicine (33%), Computer Science (22%), Biochemistry, Genetics and Molecular Biology (21%).

Health Sciences: 7 works · 32.7% of their workMedicine: 7 works · 32.7% of their workPulmonary and Respiratory Medicine: 5 works · 22.4% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 10.3% of their workEverything else: 5 works · 24.2% of their workPhysical Sciences: 5 works · 22.4% of their workComputer Science: 5 works · 22.4% of their workArtificial Intelligence: 3 works · 15.5% of their workComputer Vision and Pattern Recognition: 2 works · 6.9% of their workLife Sciences: 5 works · 20.7% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 20.7% of their workMolecular Biology: 3 works · 12.1% of their workBiophysics: 2 works · 8.6% of their workTHEIR WORKMikhailTeverovskiy22works
Life Sciences21%Physical Sciences22%Health Sciences33%

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. Medicine732.7%
  2. Everything else524.2%
    1. Computer Science522.4%
    1. Biochemistry, Genetics and Molecular Biology520.7%
  1. 1Pulmonary and Respiratory Medicine22% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Molecular Biology12% of their works
  4. 4Radiology, Nuclear Medicine and Imaging10% of their works
  5. 5Biophysics9% of their works
  6. 6Computer Vision and Pattern Recognition7% of their works

Research topics

Which keywords describe Mikhail Teverovskiy's research?

The keywords of their largest research topics: Machine Learning, Prostate Cancer, Deep Learning, Medical Image Analysis, Radiation Therapy, Screening, Androgen Receptor and Genomic Profiling.

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. Machine Learning132 topics
  2. Prostate Cancer112 topics
  3. Deep Learning81 topic
  4. Medical Image Analysis81 topic
  5. Radiation Therapy61 topic
  6. Screening61 topic
  7. Androgen Receptor51 topic
  8. Genomic Profiling51 topic
  9. Medical Imaging51 topic
  10. Quantitative51 topic
  11. Radiomics51 topic
  12. Real-Time PCR51 topic
  13. Infrared Spectroscopy31 topic
  14. Raman Spectroscopy31 topic
  15. Granular Computing21 topic
  16. High-Throughput Analysis21 topic
  17. Protein Microarrays21 topic
  18. Rough Sets21 topic

Where does Mikhail Teverovskiy work?

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

How many publications and citations does Mikhail Teverovskiy have?

OpenAlex counts 22 works and 756 citations for Mikhail Teverovskiy, an h-index of 10, ranking #2,565,828 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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