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Researcher · ITMO University · Russia

Aleksandra S. Vatian

Aleksandra S. Vatian publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Information Systems, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Topic Modeling.

ORCID 0000-0002-5483-716X OpenAlex
World rank
#7,544,262
of 7,710,434 ranked researchers
Rank in Russia
#162,044
of 179,717
Works
48
Citations
103
Citations per work
2.1
h-index
6
i10-index 2Top 74% in Artificial Intelligence
Aleksandra S. Vatian

What does Aleksandra S. Vatian research?

Aleksandra S. Vatian's work is mostly in Computer Science (36%), Medicine (10%), Health Professions (4%).

Everything else: 22 works · 46.7% of their workPhysical Sciences: 17 works · 35.8% of their workComputer Science: 17 works · 35.8% of their workArtificial Intelligence: 12 works · 24.6% of their workComputer Vision and Pattern Recognition: 3 works · 5.6% of their workInformation Systems: 3 works · 5.6% of their workHealth Sciences: 6 works · 13.5% of their workMedicine: 5 works · 9.5% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 9.5% of their workHealth Professions: 2 works · 4.0% of their workHealth Information Management: 2 works · 4.0% of their workSocial Sciences: 2 works · 4.0% of their workBusiness, Management and Accounting: 2 works · 4.0% of their workManagement Information Systems: 2 works · 4.0% of their workTHEIR WORKAleksandra S.Vatian48works
Physical Sciences36%Health Sciences14%Social Sciences4%

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 else2246.7%
    1. Computer Science1735.8%
    1. Medicine59.5%
    2. Health Professions24.0%
    1. Business, Management and Accounting24.0%
  1. 1Artificial Intelligence25% of their works
  2. 2Radiology, Nuclear Medicine and Imaging10% of their works
  3. 3Information Systems6% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Health Information Management4% of their works
  6. 6Management Information Systems4% of their works

Research topics

Which keywords describe Aleksandra S. Vatian's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Data Integration, Semantic Web, Knowledge Management, Ontology, Histopathology Images and Medical Image Analysis.

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.

All 22 words, with their numbers
  1. Machine Learning163 topics
  2. Deep Learning92 topics
  3. Data Integration82 topics
  4. Semantic Web82 topics
  5. Knowledge Management72 topics
  6. Ontology72 topics
  7. Histopathology Images61 topic
  8. Medical Image Analysis61 topic
  9. Medical Imaging61 topic
  10. Radiomics61 topic
  11. Neural Networks51 topic
  12. Word Representation51 topic
  13. Big Data Analytics41 topic
  14. Biomedical Ontologies41 topic
  15. Healthcare41 topic
  16. Linked Data41 topic
  17. RDF41 topic
  18. Text Mining41 topic
  19. Graph Neural Networks31 topic
  20. Information Science31 topic
  21. Knowledge Graph Embedding31 topic
  22. Technology31 topic

Where does Aleksandra S. Vatian work?

Aleksandra S. Vatian's main affiliation in the publication record is ITMO University, Russia.

How many publications and citations does Aleksandra S. Vatian have?

OpenAlex counts 48 works and 103 citations for Aleksandra S. Vatian, an h-index of 6, ranking #7,544,262 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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