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Researcher · Riga Technical University · Latvia

Ilze Birzniece

Ilze Birzniece publishes mostly in Artificial Intelligence, Information Systems and Management Information Systems, on topics such as Advanced Text Analysis Techniques, Text and Document Classification Technologies and Neural Networks and Applications.

ORCID 0000-0002-5775-6138 OpenAlex
World rank
#4,336,505
of 7,710,434 ranked researchers
Rank in Latvia
#1,056
of 4,070
Works
30
Citations
142
Citations per work
4.7
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Ilze Birzniece

What does Ilze Birzniece research?

Ilze Birzniece's work is mostly in Computer Science (55%), Business, Management and Accounting (11%), Decision Sciences (6%).

Physical Sciences: 16 works · 55.0% of their workComputer Science: 16 works · 55.0% of their workArtificial Intelligence: 13 works · 42.3% of their workInformation Systems: 4 works · 12.7% of their workEverything else: 8 works · 25.4% of their workSocial Sciences: 5 works · 16.8% of their workBusiness, Management and Accounting: 3 works · 11.2% of their workManagement Information Systems: 2 works · 5.6% of their workOrganizational Behavior and Human Resource Management: 2 works · 5.6% of their workDecision Sciences: 2 works · 5.6% of their workManagement Science and Operations Research: 2 works · 5.6% of their workHealth Sciences: 1 works · 2.8% of their workHealth Professions: 1 works · 2.8% of their workGeneral Health Professions: 1 works · 2.8% of their workTHEIR WORKIlze Birzniece30works
Physical Sciences55%Health Sciences3%Social Sciences17%

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 Science1655.0%
  2. Everything else825.4%
    1. Business, Management and Accounting311.2%
    2. Decision Sciences25.6%
    1. Health Professions12.8%
  1. 1Artificial Intelligence42% of their works
  2. 2Information Systems13% of their works
  3. 3Management Information Systems6% of their works
  4. 4Organizational Behavior and Human Resource Management6% of their works
  5. 5Management Science and Operations Research6% of their works
  6. 6General Health Professions3% of their works

Research topics

Which keywords describe Ilze Birzniece's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Deep Learning, Automatic, Extraction, Feature Selection and Multi-label 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 Networks103 topics
  2. Information Retrieval72 topics
  3. Text Classification72 topics
  4. Deep Learning52 topics
  5. Automatic41 topic
  6. Extraction41 topic
  7. Feature Selection41 topic
  8. Multi-label Learning41 topic
  9. Backpropagation Learning31 topic
  10. Educational Assessment31 topic
  11. Fuzzy Logic31 topic
  12. Machine Translation31 topic
  13. Self-Organizing Maps31 topic
  14. Word Representation31 topic
  15. Classification21 topic
  16. Imbalanced Data21 topic
  17. Ontology21 topic
  18. Opinion Mining21 topic
  19. Semantic Web21 topic
  20. Sentiment Analysis21 topic

Where does Ilze Birzniece work?

Ilze Birzniece's main affiliation in the publication record is Riga Technical University, Latvia.

How many publications and citations does Ilze Birzniece have?

OpenAlex counts 30 works and 142 citations for Ilze Birzniece, an h-index of 5, ranking #4,336,505 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

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