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Researcher · Masaryk University · Czechia

Miloš Jakubíček

Miloš Jakubíček publishes mostly in Artificial Intelligence, Language and Linguistics and Education, on topics such as Natural Language Processing Techniques, Topic Modeling and Lexicography and Language Studies.

ORCID 0000-0002-6208-7602 OpenAlex
World rank
#2,831,407
of 7,710,434 ranked researchers
Rank in Czechia
#7,068
of 39,303
Works
68
Citations
2.6k
Citations per work
38.1
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Miloš Jakubíček

What does Miloš Jakubíček research?

Miloš Jakubíček's work is mostly in Computer Science (68%), Arts and Humanities (22%), Psychology (2%).

Physical Sciences: 47 works · 68.5% of their workComputer Science: 47 works · 68.5% of their workArtificial Intelligence: 46 works · 67.4% of their workComputer Vision and Pattern Recognition: 1 works · 1.1% of their workSocial Sciences: 17 works · 25.3% of their workArts and Humanities: 15 works · 21.9% of their workLanguage and Linguistics: 15 works · 21.9% of their workPsychology: 1 works · 1.7% of their workDevelopmental and Educational Psychology: 1 works · 1.7% of their workSocial Sciences: 1 works · 1.7% of their workEducation: 1 works · 1.7% of their workEverything else: 3 works · 5.1% of their workLife Sciences: 1 works · 1.1% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.1% of their workMolecular Biology: 1 works · 1.1% of their workTHEIR WORKMiloš Jakubíček68works
Life Sciences1%Physical Sciences68%Social Sciences25%

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 Science4768.5%
    1. Arts and Humanities1521.9%
    2. Psychology11.7%
    3. Social Sciences11.7%
  3. Everything else35.1%
    1. Biochemistry, Genetics and Molecular Biology11.1%
  1. 1Artificial Intelligence67% of their works
  2. 2Language and Linguistics22% of their works
  3. 3Education2% of their works
  4. 4Developmental and Educational Psychology2% of their works
  5. 5Computer Vision and Pattern Recognition1% of their works
  6. 6Molecular Biology1% of their works

Research topics

Which keywords describe Miloš Jakubíček's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Neural Networks, Machine Translation, Knowledge Representation, Text Classification and Word Representation.

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 20 words, with their numbers
  1. Corpus Linguistics753 topics
  2. Neural Machine Translation581 topic
  3. Statistical Machine Translation581 topic
  4. Neural Networks302 topics
  5. Machine Translation262 topics
  6. Knowledge Representation222 topics
  7. Text Classification211 topic
  8. Word Representation211 topic
  9. Dictionaries171 topic
  10. Lexicography171 topic
  11. Markov Decision Processes151 topic
  12. Spoken Dialogue Systems151 topic
  13. Specialized Language121 topic
  14. Terminology121 topic
  15. Ontology101 topic
  16. Semantic Web101 topic
  17. Readability Assessment91 topic
  18. Text Simplification91 topic
  19. Translation51 topic
  20. Translator Competence51 topic

Where does Miloš Jakubíček work?

Miloš Jakubíček's main affiliation in the publication record is Masaryk University, Czechia.

How many publications and citations does Miloš Jakubíček have?

OpenAlex counts 68 works and 2,593 citations for Miloš Jakubíček, an h-index of 10, ranking #2,831,407 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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