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Researcher · Lviv Polytechnic National University · Ukraine

Taras Ustyianovych

Taras Ustyianovych publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Artificial Intelligence in Education, Big Data and Business Intelligence and Big Data Technologies and Applications.

ORCID 0000-0002-6323-7924 OpenAlex
World rank
#1,667,158
of 7,710,434 ranked researchers
Rank in Ukraine
#736
of 46,931
Works
22
Citations
270
Citations per work
12.3
h-index
8
i10-index 8Top 30% in Information Systems
Taras Ustyianovych

What does Taras Ustyianovych research?

Taras Ustyianovych's work is mostly in Computer Science (36%), Business, Management and Accounting (13%), Decision Sciences (8%).

Everything else: 10 works · 43.6% of their workPhysical Sciences: 8 works · 35.9% of their workComputer Science: 8 works · 35.9% of their workInformation Systems: 4 works · 17.9% of their workArtificial Intelligence: 2 works · 10.3% of their workComputer Networks and Communications: 2 works · 7.7% of their workSocial Sciences: 5 works · 20.5% of their workBusiness, Management and Accounting: 3 works · 12.8% of their workManagement Information Systems: 2 works · 7.7% of their workMarketing: 1 works · 5.1% of their workDecision Sciences: 2 works · 7.7% of their workInformation Systems and Management: 2 works · 7.7% of their workTHEIR WORKTarasUstyianovych22works
Physical Sciences36%Social Sciences20%

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. Everything else1043.6%
    1. Computer Science835.9%
    1. Business, Management and Accounting312.8%
    2. Decision Sciences27.7%
  1. 1Information Systems18% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Management Information Systems8% of their works
  5. 5Information Systems and Management8% of their works
  6. 6Marketing5% of their works

Research topics

Which keywords describe Taras Ustyianovych's research?

The keywords of their largest research topics: Artificial Intelligence, Big Data, Machine Learning, Deep Learning, Digital Education, Neural Networks, Analytics and Business Intelligence.

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. Artificial Intelligence52 topics
  2. Big Data42 topics
  3. Machine Learning43 topics
  4. Deep Learning33 topics
  5. Digital Education31 topic
  6. Neural Networks31 topic
  7. Analytics21 topic
  8. Business Intelligence21 topic
  9. Data Analytics21 topic
  10. Information Technology21 topic
  11. Graph Embedding11 topic
  12. Intrusion Detection11 topic
  13. Multi-label Learning11 topic
  14. Network Security11 topic
  15. Ontology11 topic
  16. Opinion Mining11 topic
  17. Semantic Web11 topic
  18. Sentiment Analysis11 topic
  19. Text Classification11 topic
  20. Visual Question Answering11 topic

Where does Taras Ustyianovych work?

Taras Ustyianovych's main affiliation in the publication record is Lviv Polytechnic National University, Ukraine.

How many publications and citations does Taras Ustyianovych have?

OpenAlex counts 22 works and 270 citations for Taras Ustyianovych, an h-index of 8, ranking #1,667,158 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.

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

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