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Researcher · National Information Processing Institute · Poland

Michał Perełkiewicz

Michał Perełkiewicz publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Linguistics and Language, on topics such as Topic Modeling, Natural Language Processing Techniques and Text Readability and Simplification.

ORCID 0000-0001-8646-3345 OpenAlex
World rank
#3,045,542
of 7,710,434 ranked researchers
Rank in Poland
#19,825
of 100,960
Works
32
Citations
119
Citations per work
3.7
h-index
5
i10-index 2Top 82% in Artificial Intelligence
Michał Perełkiewicz

What does Michał Perełkiewicz research?

Michał Perełkiewicz's work is mostly in Computer Science (83%), Social Sciences (6%), Arts and Humanities (2%).

Physical Sciences: 27 works · 82.9% of their workComputer Science: 27 works · 82.9% of their workArtificial Intelligence: 24 works · 75.0% of their workComputer Vision and Pattern Recognition: 1 works · 4.5% of their workInformation Systems: 1 works · 3.4% of their workEverything else: 3 works · 9.1% of their workSocial Sciences: 3 works · 8.0% of their workSocial Sciences: 2 works · 5.7% of their workLinguistics and Language: 1 works · 3.4% of their workGeneral Social Sciences: 1 works · 2.3% of their workArts and Humanities: 1 works · 2.3% of their workLanguage and Linguistics: 1 works · 2.3% of their workTHEIR WORKMichałPerełkiewicz32works
Physical Sciences83%Social Sciences8%

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 Science2782.9%
  2. Everything else39.1%
    1. Social Sciences25.7%
    2. Arts and Humanities12.3%
  1. 1Artificial Intelligence75% of their works
  2. 2Computer Vision and Pattern Recognition4% of their works
  3. 3Linguistics and Language3% of their works
  4. 4Information Systems3% of their works
  5. 5Language and Linguistics2% of their works
  6. 6General Social Sciences2% of their works

Research topics

Which keywords describe Michał Perełkiewicz's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Machine Learning, Readability Assessment and Text Simplification.

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 18 words, with their numbers
  1. Neural Networks303 topics
  2. Machine Translation181 topic
  3. Word Representation181 topic
  4. Neural Machine Translation171 topic
  5. Statistical Machine Translation171 topic
  6. Machine Learning122 topics
  7. Readability Assessment71 topic
  8. Text Simplification71 topic
  9. Automatic51 topic
  10. Extraction51 topic
  11. Opinion Mining51 topic
  12. Sentiment Analysis51 topic
  13. Culture31 topic
  14. Language31 topic
  15. Interpretable Models21 topic
  16. Machine Learning Interpretability21 topic
  17. Ontology21 topic
  18. Semantic Web21 topic

Where does Michał Perełkiewicz work?

Michał Perełkiewicz's main affiliation in the publication record is National Information Processing Institute, Poland.

How many publications and citations does Michał Perełkiewicz have?

OpenAlex counts 32 works and 119 citations for Michał Perełkiewicz, an h-index of 5, ranking #3,045,542 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.

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