Science Explorer Back to mapMap
Discussion
Researcher · National Information Processing Institute · Poland

Jarosław Protasiewicz

Jarosław Protasiewicz publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Advanced Text Analysis Techniques, Text and Document Classification Technologies and Recommender Systems and Techniques.

ORCID 0000-0002-9204-921X OpenAlex
World rank
#3,506,185
of 7,710,434 ranked researchers
Rank in Poland
#23,965
of 100,960
Works
38
Citations
545
Citations per work
14.3
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Jarosław Protasiewicz

What does Jarosław Protasiewicz research?

Jarosław Protasiewicz's work is mostly in Computer Science (77%), Business, Management and Accounting (4%).

Physical Sciences: 29 works · 77.3% of their workComputer Science: 29 works · 77.3% of their workArtificial Intelligence: 13 works · 34.7% of their workInformation Systems: 10 works · 26.7% of their workComputer Vision and Pattern Recognition: 3 works · 6.9% of their workSoftware: 2 works · 5.0% of their workComputer Networks and Communications: 2 works · 4.0% of their workEverything else: 7 works · 18.7% of their workSocial Sciences: 2 works · 4.0% of their workBusiness, Management and Accounting: 2 works · 4.0% of their workManagement Information Systems: 2 works · 4.0% of their workTHEIR WORKJarosławProtasiewicz38works
Physical Sciences77%Social Sciences4%

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 Science2977.3%
  2. Everything else718.7%
    1. Business, Management and Accounting24.0%
  1. 1Artificial Intelligence35% of their works
  2. 2Information Systems27% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Software5% of their works
  5. 5Management Information Systems4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Jarosław Protasiewicz's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Automatic, Collaborative Filtering, Extraction, Feature Selection and Machine 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.

All 20 words, with their numbers
  1. Neural Networks223 topics
  2. Information Retrieval142 topics
  3. Text Classification142 topics
  4. Automatic81 topic
  5. Collaborative Filtering81 topic
  6. Extraction81 topic
  7. Feature Selection81 topic
  8. Machine Learning82 topics
  9. Matrix Factorization81 topic
  10. Multi-label Learning81 topic
  11. Machine Translation61 topic
  12. Word Representation61 topic
  13. Community Question Answering51 topic
  14. Expert Finding51 topic
  15. Code Clone Detection41 topic
  16. Data Mining41 topic
  17. Frequent Patterns41 topic
  18. Refactoring41 topic
  19. Domain-Specific Languages31 topic
  20. Model-Driven Engineering31 topic

Where does Jarosław Protasiewicz work?

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

How many publications and citations does Jarosław Protasiewicz have?

OpenAlex counts 38 works and 545 citations for Jarosław Protasiewicz, an h-index of 8, ranking #3,506,185 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 Jarosław Protasiewicz. Posts are plain text and can be reported.