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Nina Spicijarić Paškvan

Nina Spicijarić Paškvan publishes mostly in Language and Linguistics, Artificial Intelligence and Sociology and Political Science, on topics such as Linguistic Studies and Language Acquisition, Linguistics and language evolution and Lexicography and Language Studies.

World rank
#600,605
of 1,633,909 ranked researchers
Rank in Croatia
#1,212
of 6,643
Works
18
Citations
0

What does Nina Spicijarić Paškvan research?

Language and Linguistics: 60.0%Artificial Intelligence: 20.0%Sociology and Political Science: 20.0%60%top field
Language and Linguistics60.0%Artificial Intelligence20.0%Sociology and Political Science20.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Language and Linguistics60% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Sociology and Political Science20% of their works

Research topics

Which keywords describe Nina Spicijarić Paškvan's research?

The keywords of their largest research topics: Cultural History, Lexicography, Corpora, Dictionaries, Electronic, Indo-European, Language Contact and Linguistic Borrowing.

Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.

All 12 words, with their numbers
  1. Cultural History22 topics
  2. Lexicography22 topics
  3. Corpora11 topic
  4. Dictionaries11 topic
  5. Electronic11 topic
  6. Indo-European11 topic
  7. Language Contact11 topic
  8. Linguistic Borrowing11 topic
  9. Linguistics11 topic
  10. Post-Communist11 topic
  11. Spoken Language11 topic
  12. Transition11 topic

Where does Nina Spicijarić Paškvan work?

Nina Spicijarić Paškvan's main affiliation in the publication record is Croatian Academy of Sciences and Arts, Croatia.

How many publications and citations does Nina Spicijarić Paškvan have?

Science Explorer counts 18 works and 0 citations for Nina Spicijarić Paškvan, ranking #600,605 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.