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Researcher · Temple University, Japan · Japan

David Beglar

David Beglar publishes mostly in Developmental and Educational Psychology, Language and Linguistics and Artificial Intelligence, on topics such as Second Language Acquisition and Learning, EFL/ESL Teaching and Learning and Natural Language Processing Techniques.

OpenAlex
World rank
#1,115,302
of 7,710,434 ranked researchers
Rank in Japan
#15,700
of 383,136
Works
28
Citations
2k
Citations per work
70.2
h-index
11
i10-index 12Top 48% in Developmental and Educational Psychology
David Beglar

What does David Beglar research?

David Beglar's work is mostly in Psychology (34%), Arts and Humanities (31%), Computer Science (17%).

Social Sciences: 22 works · 78.2% of their workPsychology: 10 works · 34.4% of their workDevelopmental and Educational Psychology: 9 works · 31.3% of their workExperimental and Cognitive Psychology: 1 works · 3.1% of their workArts and Humanities: 9 works · 31.3% of their workLanguage and Linguistics: 6 works · 21.9% of their workLiterature and Literary Theory: 3 works · 9.4% of their workSocial Sciences: 4 works · 12.5% of their workEducation: 4 works · 12.5% of their workPhysical Sciences: 5 works · 17.2% of their workComputer Science: 5 works · 17.2% of their workArtificial Intelligence: 5 works · 17.2% of their workEverything else: 1 works · 4.6% of their workTHEIR WORKDavid Beglar28works
Physical Sciences17%Social Sciences78%

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. Psychology1034.4%
    2. Arts and Humanities931.3%
    3. Social Sciences412.5%
    1. Computer Science517.2%
  3. Everything else14.6%
  1. 1Developmental and Educational Psychology31% of their works
  2. 2Language and Linguistics22% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Education12% of their works
  5. 5Literature and Literary Theory9% of their works
  6. 6Experimental and Cognitive Psychology3% of their works

Research topics

Which keywords describe David Beglar's research?

The keywords of their largest research topics: Language Teaching, Corpus Linguistics, Reading Comprehension, Second Language Learning, Vocabulary Acquisition, Corrective Feedback, Second Language Acquisition and Neural Machine Translation.

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
  1. Language Teaching242 topics
  2. Corpus Linguistics212 topics
  3. Reading Comprehension182 topics
  4. Second Language Learning151 topic
  5. Vocabulary Acquisition151 topic
  6. Corrective Feedback91 topic
  7. Second Language Acquisition91 topic
  8. Neural Machine Translation61 topic
  9. Statistical Machine Translation61 topic
  10. CLIL51 topic
  11. Content and Language Integrated Learning51 topic
  12. Readability Assessment51 topic
  13. Text Simplification51 topic
  14. Dictionaries31 topic
  15. Dyslexia31 topic
  16. Lexicography31 topic
  17. Reading Acquisition31 topic
  18. Metacognition21 topic
  19. Self-Regulation21 topic

Where does David Beglar work?

David Beglar's main affiliation in the publication record is Temple University, Japan, Japan.

How many publications and citations does David Beglar have?

OpenAlex counts 28 works and 1,966 citations for David Beglar, an h-index of 11, ranking #1,115,302 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.

Discussion

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