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Researcher · University for Foreigners Perugia · Italy

Stefania Spina

Stefania Spina publishes mostly in Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology, on topics such as Linguistic Studies and Language Acquisition, Natural Language Processing Techniques and Second Language Acquisition and Learning.

ORCID 0000-0002-9957-3903 OpenAlex
World rank
#2,327,573
of 7,710,434 ranked researchers
Rank in Italy
#77,739
of 242,206
Works
79
Citations
440
Citations per work
5.6
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Stefania Spina

What does Stefania Spina research?

Stefania Spina's work is mostly in Computer Science (49%), Arts and Humanities (24%), Psychology (12%).

Physical Sciences: 39 works · 49.0% of their workComputer Science: 39 works · 49.0% of their workArtificial Intelligence: 37 works · 46.5% of their workHuman-Computer Interaction: 2 works · 2.5% of their workSocial Sciences: 31 works · 39.6% of their workArts and Humanities: 19 works · 24.2% of their workLanguage and Linguistics: 12 works · 15.8% of their workLiterature and Literary Theory: 7 works · 8.4% of their workPsychology: 9 works · 11.9% of their workDevelopmental and Educational Psychology: 9 works · 11.9% of their workSocial Sciences: 3 works · 3.5% of their workEducation: 3 works · 3.5% of their workEverything else: 9 works · 11.4% of their workTHEIR WORKStefania Spina79works
Physical Sciences49%Social Sciences40%

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 Science3949.0%
    1. Arts and Humanities1924.2%
    2. Psychology911.9%
    3. Social Sciences33.5%
  3. Everything else911.4%
  1. 1Artificial Intelligence46% of their works
  2. 2Language and Linguistics16% of their works
  3. 3Developmental and Educational Psychology12% of their works
  4. 4Literature and Literary Theory8% of their works
  5. 5Education4% of their works
  6. 6Human-Computer Interaction2% of their works

Research topics

Which keywords describe Stefania Spina's research?

The keywords of their largest research topics: Language Teaching, Corpus Linguistics, Corpora, Spoken Language, Neural Machine Translation, Statistical Machine Translation, Machine Learning 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 20 words, with their numbers
  1. Language Teaching632 topics
  2. Corpus Linguistics462 topics
  3. Corpora411 topic
  4. Spoken Language411 topic
  5. Neural Machine Translation241 topic
  6. Statistical Machine Translation241 topic
  7. Machine Learning222 topics
  8. Second Language Learning221 topic
  9. Vocabulary Acquisition221 topic
  10. CLIL161 topic
  11. Content and Language Integrated Learning161 topic
  12. Readability Assessment161 topic
  13. Text Simplification161 topic
  14. Gender Differences112 topics
  15. Dictionaries81 topic
  16. Lexicography81 topic
  17. Authorship Attribution61 topic
  18. Stylometry61 topic
  19. Computer-Mediated Communication51 topic
  20. Emoticons51 topic

Where does Stefania Spina work?

Stefania Spina's main affiliation in the publication record is University for Foreigners Perugia, Italy.

How many publications and citations does Stefania Spina have?

OpenAlex counts 79 works and 440 citations for Stefania Spina, an h-index of 10, ranking #2,327,573 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.

Other researchers named Stefania Spina

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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