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Researcher · Copenhagen Business School · Denmark

Barbara Dragsted

Barbara Dragsted publishes mostly in Artificial Intelligence, Language and Linguistics and General Health Professions, on topics such as Natural Language Processing Techniques, Translation Studies and Practices and Text Readability and Simplification.

OpenAlex
World rank
#608,688
of 7,710,434 ranked researchers
Rank in Denmark
#4,556
of 43,819
Works
37
Citations
1.2k
Citations per work
32.9
h-index
19
i10-index 24Top 14% in Artificial Intelligence
Barbara Dragsted

What does Barbara Dragsted research?

Barbara Dragsted's work is mostly in Computer Science (38%), Arts and Humanities (31%), Psychology (9%).

Social Sciences: 16 works · 42.4% of their workArts and Humanities: 11 works · 30.6% of their workLanguage and Linguistics: 11 works · 30.6% of their workPsychology: 3 works · 9.4% of their workDevelopmental and Educational Psychology: 2 works · 5.9% of their workExperimental and Cognitive Psychology: 1 works · 3.5% of their workBusiness, Management and Accounting: 1 works · 2.4% of their workManagement Information Systems: 1 works · 2.4% of their workPhysical Sciences: 14 works · 37.6% of their workComputer Science: 14 works · 37.6% of their workArtificial Intelligence: 14 works · 37.6% of their workEverything else: 4 works · 11.8% of their workHealth Sciences: 3 works · 8.2% of their workHealth Professions: 3 works · 8.2% of their workGeneral Health Professions: 3 works · 8.2% of their workTHEIR WORKBarbara Dragsted37works
Physical Sciences38%Health Sciences8%Social Sciences42%

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. Arts and Humanities1130.6%
    2. Psychology39.4%
    3. Business, Management and Accounting12.4%
    1. Computer Science1437.6%
  3. Everything else411.8%
    1. Health Professions38.2%
  1. 1Artificial Intelligence38% of their works
  2. 2Language and Linguistics31% of their works
  3. 3General Health Professions8% of their works
  4. 4Developmental and Educational Psychology6% of their works
  5. 5Experimental and Cognitive Psychology4% of their works
  6. 6Management Information Systems2% of their works

Research topics

Which keywords describe Barbara Dragsted's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Translation, Translator Competence, Language Learning, Readability Assessment and Subtitling.

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 17 words, with their numbers
  1. Corpus Linguistics383 topics
  2. Neural Machine Translation171 topic
  3. Statistical Machine Translation171 topic
  4. Translation161 topic
  5. Translator Competence161 topic
  6. Language Learning81 topic
  7. Readability Assessment81 topic
  8. Subtitling81 topic
  9. Text Simplification81 topic
  10. Language Barriers71 topic
  11. Medical Interpreters71 topic
  12. Markov Decision Processes51 topic
  13. Second Language Learning51 topic
  14. Spoken Dialogue Systems51 topic
  15. Vocabulary Acquisition51 topic
  16. Metaphor31 topic
  17. Time31 topic

Where does Barbara Dragsted work?

Barbara Dragsted's main affiliation in the publication record is Copenhagen Business School, Denmark.

How many publications and citations does Barbara Dragsted have?

OpenAlex counts 37 works and 1,219 citations for Barbara Dragsted, an h-index of 19, ranking #608,688 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.

Discussion

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