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Researcher · ELTE Research Centre for Linguistics · Hungary

Csaba Oravecz

Csaba Oravecz publishes mostly in Artificial Intelligence, Language and Linguistics and General Health Professions, on topics such as Natural Language Processing Techniques, Topic Modeling and Semantic Web and Ontologies.

OpenAlex
World rank
#3,832,836
of 7,710,434 ranked researchers
Rank in Hungary
#7,964
of 25,218
Works
24
Citations
427
Citations per work
17.8
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Csaba Oravecz

What does Csaba Oravecz research?

Csaba Oravecz's work is mostly in Computer Science (83%), Arts and Humanities (10%), Health Professions (6%).

Physical Sciences: 20 works · 82.6% of their workComputer Science: 20 works · 82.6% of their workArtificial Intelligence: 18 works · 74.6% of their workComputer Vision and Pattern Recognition: 1 works · 4.8% of their workInformation Systems: 1 works · 3.2% of their workSocial Sciences: 2 works · 9.5% of their workArts and Humanities: 2 works · 9.5% of their workLanguage and Linguistics: 2 works · 6.3% of their workPhilosophy: 1 works · 3.2% of their workHealth Sciences: 2 works · 6.3% of their workHealth Professions: 2 works · 6.3% of their workGeneral Health Professions: 2 works · 6.3% of their workTHEIR WORKCsaba Oravecz24works
Physical Sciences83%Health Sciences6%Social Sciences10%

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 Science2082.6%
    1. Arts and Humanities29.5%
    1. Health Professions26.3%
  1. 1Artificial Intelligence75% of their works
  2. 2Language and Linguistics6% of their works
  3. 3General Health Professions6% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Philosophy3% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Csaba Oravecz's research?

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

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 18 words, with their numbers
  1. Neural Networks213 topics
  2. Neural Machine Translation201 topic
  3. Statistical Machine Translation201 topic
  4. Machine Translation161 topic
  5. Word Representation161 topic
  6. Convolutional Neural Networks62 topics
  7. Ontology41 topic
  8. Semantic Web41 topic
  9. Acoustic Modeling31 topic
  10. Deep Neural Networks31 topic
  11. Dictionaries31 topic
  12. Handwriting Recognition31 topic
  13. Lexicography31 topic
  14. Text Detection31 topic
  15. Healthcare Legislation21 topic
  16. Patient Rights21 topic
  17. Readability Assessment21 topic
  18. Text Simplification21 topic

Where does Csaba Oravecz work?

Csaba Oravecz's main affiliation in the publication record is ELTE Research Centre for Linguistics, Hungary.

How many publications and citations does Csaba Oravecz have?

OpenAlex counts 24 works and 427 citations for Csaba Oravecz, an h-index of 8, ranking #3,832,836 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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