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Researcher · St Petersburg University · Russia

Ekaterina Pronoza

Ekaterina Pronoza publishes mostly in Artificial Intelligence, Information Systems and Sociology and Political Science, on topics such as Advanced Text Analysis Techniques, Topic Modeling and Natural Language Processing Techniques.

ORCID 0000-0002-2774-3723 OpenAlex
World rank
#3,134,229
of 7,710,434 ranked researchers
Rank in Russia
#13,044
of 179,717
Works
20
Citations
193
Citations per work
9.7
h-index
7
i10-index 5Top 65% in Artificial Intelligence
Ekaterina Pronoza

What does Ekaterina Pronoza research?

Ekaterina Pronoza's work is mostly in Computer Science (93%), Social Sciences (4%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 19 works · 94.5% of their workComputer Science: 19 works · 92.7% of their workArtificial Intelligence: 17 works · 83.6% of their workInformation Systems: 1 works · 7.3% of their workComputer Vision and Pattern Recognition: 0 works · 1.8% of their workPhysics and Astronomy: 0 works · 1.8% of their workStatistical and Nonlinear Physics: 0 works · 1.8% of their workSocial Sciences: 1 works · 3.6% of their workSocial Sciences: 1 works · 3.6% of their workSociology and Political Science: 1 works · 3.6% of their workLife Sciences: 0 works · 1.8% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 1.8% of their workMolecular Biology: 0 works · 1.8% of their workTHEIR WORKEkaterina Pronoza20works
Life Sciences2%Physical Sciences94%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. Computer Science1992.7%
    2. Physics and Astronomy01.8%
    1. Social Sciences13.6%
    1. Biochemistry, Genetics and Molecular Biology01.8%
  1. 1Artificial Intelligence84% of their works
  2. 2Information Systems7% of their works
  3. 3Sociology and Political Science4% of their works
  4. 4Statistical and Nonlinear Physics2% of their works
  5. 5Computer Vision and Pattern Recognition2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Ekaterina Pronoza's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Automatic, Extraction, Machine Translation, Word Representation, Neural Machine Translation and Statistical Machine Translation.

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. Neural Networks272 topics
  2. Information Retrieval152 topics
  3. Automatic141 topic
  4. Extraction141 topic
  5. Machine Translation131 topic
  6. Word Representation131 topic
  7. Neural Machine Translation101 topic
  8. Statistical Machine Translation101 topic
  9. Social Media52 topics
  10. Text Mining42 topics
  11. Data Integration32 topics
  12. Opinion Mining31 topic
  13. Semantic Web32 topics
  14. Sentiment Analysis31 topic
  15. Consumer Engagement21 topic
  16. Electronic Word-of-Mouth21 topic
  17. Linked Data21 topic
  18. Ontology21 topic
  19. Web Crawling21 topic
  20. Web Data Extraction21 topic
  21. Biomedical Literature11 topic
  22. Biomedical Ontologies11 topic

Where does Ekaterina Pronoza work?

Ekaterina Pronoza's main affiliation in the publication record is St Petersburg University, Russia.

How many publications and citations does Ekaterina Pronoza have?

OpenAlex counts 20 works and 193 citations for Ekaterina Pronoza, an h-index of 7, ranking #3,134,229 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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