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Researcher · Tilburg University · Netherlands

Rintse van der Werf

Rintse van der Werf publishes mostly in Artificial Intelligence, Biomedical Engineering and Developmental and Educational Psychology, on topics such as Natural Language Processing Techniques, Second Language Acquisition and Learning and Text Readability and Simplification.

OpenAlex
World rank
#7,093,093
of 7,710,434 ranked researchers
Rank in Netherlands
#104,924
of 107,149
Works
20
Citations
110
Citations per work
5.5
h-index
4
i10-index 4Top 90% in Artificial Intelligence
Rintse van der Werf

What does Rintse van der Werf research?

Rintse van der Werf's work is mostly in Computer Science (29%), Engineering (20%), Psychology (10%).

Physical Sciences: 10 works · 49.0% of their workComputer Science: 6 works · 29.4% of their workArtificial Intelligence: 4 works · 21.6% of their workInformation Systems: 2 works · 7.8% of their workEngineering: 4 works · 19.6% of their workBiomedical Engineering: 3 works · 13.7% of their workElectrical and Electronic Engineering: 1 works · 5.9% of their workEverything else: 7 works · 33.4% of their workSocial Sciences: 4 works · 17.6% of their workPsychology: 2 works · 9.8% of their workDevelopmental and Educational Psychology: 2 works · 9.8% of their workSocial Sciences: 2 works · 7.8% of their workEducation: 2 works · 7.8% of their workTHEIR WORKRintse van derWerf20works
Physical Sciences49%Social Sciences18%

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 Science629.4%
    2. Engineering419.6%
  2. Everything else733.4%
    1. Psychology29.8%
    2. Social Sciences27.8%
  1. 1Artificial Intelligence22% of their works
  2. 2Biomedical Engineering14% of their works
  3. 3Developmental and Educational Psychology10% of their works
  4. 4Education8% of their works
  5. 5Information Systems8% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe Rintse van der Werf's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Second Language Learning, Statistical Machine Translation, Vocabulary Acquisition, CLIL, Content and Language Integrated Learning and Dictionaries.

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 Linguistics102 topics
  2. Neural Machine Translation51 topic
  3. Second Language Learning51 topic
  4. Statistical Machine Translation51 topic
  5. Vocabulary Acquisition51 topic
  6. CLIL31 topic
  7. Content and Language Integrated Learning31 topic
  8. Dictionaries31 topic
  9. Lexicography31 topic
  10. Readability Assessment31 topic
  11. Text Simplification31 topic
  12. CMOS21 topic
  13. Lab-on-a-Chip21 topic
  14. Low-Power21 topic
  15. Nanolithography21 topic
  16. Poly(dimethylsiloxane)21 topic
  17. Soft Lithography21 topic

Where does Rintse van der Werf work?

Rintse van der Werf's main affiliation in the publication record is Tilburg University, Netherlands.

How many publications and citations does Rintse van der Werf have?

OpenAlex counts 20 works and 110 citations for Rintse van der Werf, an h-index of 4, ranking #7,093,093 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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