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Researcher · Chuo University · Japan

Shigenori Wakabayashi

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

ORCID 0000-0001-5222-0724 OpenAlex
World rank
#3,170,923
of 7,710,434 ranked researchers
Rank in Japan
#73,165
of 383,136
Works
40
Citations
257
Citations per work
6.4
h-index
7
i10-index 5Top 32% in Language and Linguistics
Shigenori Wakabayashi

What does Shigenori Wakabayashi research?

Shigenori Wakabayashi's work is mostly in Arts and Humanities (36%), Psychology (20%), Social Sciences (13%).

Social Sciences: 28 works · 69.0% of their workArts and Humanities: 14 works · 36.0% of their workLanguage and Linguistics: 11 works · 28.0% of their workLiterature and Literary Theory: 3 works · 8.0% of their workPsychology: 8 works · 20.0% of their workDevelopmental and Educational Psychology: 8 works · 20.0% of their workSocial Sciences: 5 works · 13.0% of their workEducation: 3 works · 7.0% of their workLinguistics and Language: 2 works · 6.0% of their workEverything else: 8 works · 21.0% of their workPhysical Sciences: 4 works · 10.0% of their workComputer Science: 4 works · 10.0% of their workArtificial Intelligence: 4 works · 10.0% of their workTHEIR WORKShigenoriWakabayashi40works
Physical Sciences10%Social Sciences69%

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 Humanities1436.0%
    2. Psychology820.0%
    3. Social Sciences513.0%
  2. Everything else821.0%
    1. Computer Science410.0%
  1. 1Language and Linguistics28% of their works
  2. 2Developmental and Educational Psychology20% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Literature and Literary Theory8% of their works
  5. 5Education7% of their works
  6. 6Linguistics and Language6% of their works

Research topics

Which keywords describe Shigenori Wakabayashi's research?

The keywords of their largest research topics: Language Teaching, Corpus Linguistics, Corrective Feedback, Second Language Acquisition, Language Policy, Multilingualism, Pragmatics and Second Language Learning.

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 22 words, with their numbers
  1. Language Teaching232 topics
  2. Corpus Linguistics172 topics
  3. Corrective Feedback141 topic
  4. Second Language Acquisition141 topic
  5. Language Policy132 topics
  6. Multilingualism132 topics
  7. Pragmatics122 topics
  8. Second Language Learning91 topic
  9. Social Interaction92 topics
  10. Vocabulary Acquisition91 topic
  11. CLIL81 topic
  12. Content and Language Integrated Learning81 topic
  13. Neural Machine Translation81 topic
  14. Semantics81 topic
  15. Statistical Machine Translation81 topic
  16. Syntax81 topic
  17. Cultural Sustaining Pedagogy51 topic
  18. Language Development51 topic
  19. Speech and Language Disorder51 topic
  20. Translanguaging51 topic
  21. Conversation Analysis41 topic
  22. Interactional Linguistics41 topic

Where does Shigenori Wakabayashi work?

Shigenori Wakabayashi's main affiliation in the publication record is Chuo University, Japan.

How many publications and citations does Shigenori Wakabayashi have?

OpenAlex counts 40 works and 257 citations for Shigenori Wakabayashi, an h-index of 7, ranking #3,170,923 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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