Science Explorer Back to mapMap
Discussion
Researcher · Institute for Language and Speech Processing · Greece

Prokopis Prokopidis

Prokopis Prokopidis publishes mostly in Artificial Intelligence, Language and Linguistics and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

ORCID 0000-0003-3963-3000 OpenAlex
World rank
#2,245,502
of 7,710,434 ranked researchers
Rank in Greece
#9,576
of 33,280
Works
72
Citations
436
Citations per work
6.1
h-index
13
i10-index 15Top 28% in Artificial Intelligence
Prokopis Prokopidis

What does Prokopis Prokopidis research?

Prokopis Prokopidis's work is mostly in Computer Science (75%), Arts and Humanities (12%).

Physical Sciences: 54 works · 74.9% of their workComputer Science: 54 works · 74.9% of their workArtificial Intelligence: 48 works · 66.4% of their workInformation Systems: 3 works · 3.9% of their workComputer Vision and Pattern Recognition: 2 works · 3.3% of their workComputational Theory and Mathematics: 1 works · 1.3% of their workEverything else: 10 works · 13.3% of their workSocial Sciences: 8 works · 11.8% of their workArts and Humanities: 8 works · 11.8% of their workLanguage and Linguistics: 7 works · 9.2% of their workLiterature and Literary Theory: 2 works · 2.6% of their workTHEIR WORKProkopisProkopidis72works
Physical Sciences75%Social Sciences12%

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 Science5474.9%
  2. Everything else1013.3%
    1. Arts and Humanities811.8%
  1. 1Artificial Intelligence66% of their works
  2. 2Language and Linguistics9% of their works
  3. 3Information Systems4% of their works
  4. 4Computer Vision and Pattern Recognition3% of their works
  5. 5Literature and Literary Theory3% of their works
  6. 6Computational Theory and Mathematics1% of their works

Research topics

Which keywords describe Prokopis Prokopidis's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Neural Networks, Text Classification, Machine Translation, Semantic Similarity and Word Representation.

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 21 words, with their numbers
  1. Corpus Linguistics522 topics
  2. Neural Machine Translation481 topic
  3. Statistical Machine Translation481 topic
  4. Neural Networks322 topics
  5. Text Classification282 topics
  6. Machine Translation272 topics
  7. Semantic Similarity231 topic
  8. Word Representation231 topic
  9. Machine Learning173 topics
  10. Readability Assessment91 topic
  11. Text Simplification91 topic
  12. Ontology81 topic
  13. Semantic Web81 topic
  14. Markov Decision Processes61 topic
  15. Spoken Dialogue Systems61 topic
  16. Authorship Attribution51 topic
  17. Stylometry51 topic
  18. Translation41 topic
  19. Translator Competence41 topic
  20. Code Clone Detection31 topic
  21. Refactoring31 topic

Where does Prokopis Prokopidis work?

Prokopis Prokopidis's main affiliation in the publication record is Institute for Language and Speech Processing, Greece.

How many publications and citations does Prokopis Prokopidis have?

OpenAlex counts 72 works and 436 citations for Prokopis Prokopidis, an h-index of 13, ranking #2,245,502 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.

Discussion

Ask a question or share a note about Prokopis Prokopidis. Posts are plain text and can be reported.