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Researcher · Institute for the Humanities and Information Technologies · Russia

Erzsébet Tóth-Czifra

Erzsébet Tóth-Czifra publishes mostly in Artificial Intelligence and Literature and Literary Theory, on topics such as Semantic Web and Ontologies, Natural Language Processing Techniques and Topic Modeling.

ORCID 0000-0002-5350-067X OpenAlex
World rank
#234,633
of 1,633,909 ranked researchers
Rank in Russia
#1,054
of 28,789
Works
19
Citations
83
Citations per work
4.4

What does Erzsébet Tóth-Czifra research?

Artificial Intelligence: 80.0%Literature and Literary Theory: 20.0%80%top field
Artificial Intelligence80.0%Literature and Literary Theory20.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence80% of their works
  2. 2Literature and Literary Theory20% of their works

Research topics

Which keywords describe Erzsébet Tóth-Czifra's research?

The keywords of their largest research topics: Ontology, Semantic Web, Digital Humanities, Literary History, Neural Machine Translation, Neural Networks, Statistical Machine Translation and Word Representation.

Size is their works in the topics tagged with each word, from their 4 largest topics. Each links to the topic it comes from most.

All 8 words, with their numbers
  1. Ontology21 topic
  2. Semantic Web21 topic
  3. Digital Humanities11 topic
  4. Literary History11 topic
  5. Neural Machine Translation11 topic
  6. Neural Networks11 topic
  7. Statistical Machine Translation11 topic
  8. Word Representation11 topic

Where does Erzsébet Tóth-Czifra work?

Erzsébet Tóth-Czifra's main affiliation in the publication record is Institute for the Humanities and Information Technologies, Russia.

How many publications and citations does Erzsébet Tóth-Czifra have?

Science Explorer counts 19 works and 83 citations for Erzsébet Tóth-Czifra, ranking #234,633 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.