Ondřej Bojar
Ondřej Bojar publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.
- World rank
- #605,030 of 7,710,434 ranked researchers
- Rank in Czechia
- #921 of 39,303
- Works
- 352
- Citations
- 14k
- Citations per work
- 39.1
What does Ondřej Bojar research?
Ondřej Bojar's work is mostly in Computer Science (86%), Arts and Humanities (4%), Biochemistry, Genetics and Molecular Biology (1%).
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
- Physical Sciences30686.8%
- Computer Science30285.9%
- Engineering30.9%
- Everything else267.3%
- Social Sciences154.4%
- Arts and Humanities154.4%
- Life Sciences51.5%
- 1Artificial Intelligence78% of their works
- 2Computer Vision and Pattern Recognition5% of their works
- 3Language and Linguistics4% of their works
- 4Information Systems2% of their works
- 5Molecular Biology2% of their works
- 6Control and Systems Engineering1% of their works
Research topics
Which keywords describe Ondřej Bojar's research?
The keywords of their largest research topics: Neural Networks, Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Text Classification, Word Representation and Readability Assessment.
- Translation
- Ontology
- Image Captioning
- Acoustic Modeling
- Markov Decision Processes
- Readability Assessment
- Text Classification
- Statistical Machine Translation
- Corpus Linguistics
- Neural Networks
- Neural Machine Translation
- Machine Translation
- Word Representation
- Text Simplification
- Spoken Dialogue Systems
- Deep Neural Networks
- Visual Question Answering
- Semantic Web
- Translator Competence
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 19 words, with their numbers
- Neural Networks3183 topics
- Corpus Linguistics3052 topics
- Neural Machine Translation2821 topic
- Statistical Machine Translation2821 topic
- Machine Translation2442 topics
- Text Classification2211 topic
- Word Representation2211 topic
- Readability Assessment661 topic
- Text Simplification661 topic
- Markov Decision Processes431 topic
- Spoken Dialogue Systems431 topic
- Acoustic Modeling331 topic
- Deep Neural Networks331 topic
- Image Captioning311 topic
- Visual Question Answering311 topic
- Ontology241 topic
- Semantic Web241 topic
- Translation231 topic
- Translator Competence231 topic
Where does Ondřej Bojar work?
Ondřej Bojar's main affiliation in the publication record is Charles University, Czechia.
How many publications and citations does Ondřej Bojar have?
OpenAlex counts 352 works and 13,756 citations for Ondřej Bojar, an h-index of 37, ranking #605,030 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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