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Researcher · University of Helsinki · Finland

Indrė Žliobaitė

Indrė Žliobaitė publishes mostly in Artificial Intelligence, Paleontology and Ecology, on topics such as Data Stream Mining Techniques, Evolution and Paleontology Studies and Machine Learning and Data Classification.

ORCID 0000-0003-2427-5407 OpenAlex
World rank
#246,949
of 7,710,434 ranked researchers
Rank in Finland
#1,376
of 37,370
Works
157
Citations
8.6k
Citations per work
54.9
h-index
34
i10-index 72Top 3.4% in Artificial Intelligence
Indrė Žliobaitė

What does Indrė Žliobaitė research?

Indrė Žliobaitė's work is mostly in Computer Science (32%), Earth and Planetary Sciences (8%), Environmental Science (6%).

Physical Sciences: 73 works · 46.2% of their workComputer Science: 51 works · 32.2% of their workArtificial Intelligence: 43 works · 27.1% of their workSignal Processing: 8 works · 5.1% of their workEarth and Planetary Sciences: 12 works · 7.6% of their workPaleontology: 12 works · 7.6% of their workEnvironmental Science: 10 works · 6.4% of their workEcology: 10 works · 6.4% of their workEverything else: 70 works · 44.8% of their workSocial Sciences: 14 works · 9.0% of their workDecision Sciences: 8 works · 5.3% of their workManagement Science and Operations Research: 8 works · 5.3% of their workSocial Sciences: 6 works · 3.7% of their workAnthropology: 6 works · 3.7% of their workTHEIR WORKIndrė Žliobaitė157works
Physical Sciences46%Social Sciences9%

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 Science5132.2%
    2. Earth and Planetary Sciences127.6%
    3. Environmental Science106.4%
  2. Everything else7044.8%
    1. Decision Sciences85.3%
    2. Social Sciences63.7%
  1. 1Artificial Intelligence27% of their works
  2. 2Paleontology8% of their works
  3. 3Ecology6% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Signal Processing5% of their works
  6. 6Anthropology4% of their works

Research topics

Which keywords describe Indrė Žliobaitė's research?

The keywords of their largest research topics: Online Learning, Concept Drift, Data Streams, Hyperparameter Optimization, Deep Learning, Time Series, Mammal Evolution and Phylogenetic Comparative Analysis.

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. Online Learning632 topics
  2. Concept Drift491 topic
  3. Data Streams491 topic
  4. Hyperparameter Optimization352 topics
  5. Deep Learning312 topics
  6. Time Series312 topics
  7. Mammal Evolution291 topic
  8. Phylogenetic Comparative Analysis291 topic
  9. Instance Selection211 topic
  10. Noisy Labels211 topic
  11. Clustering171 topic
  12. Dynamic Time Warping171 topic
  13. Climate Change161 topic
  14. Hominin Genetics161 topic
  15. Paleolithic Archaeology161 topic
  16. Species Distribution Modeling161 topic
  17. Anomaly Detection141 topic
  18. Bandit Optimization141 topic
  19. Bayesian Optimization141 topic
  20. Unsupervised141 topic

Where does Indrė Žliobaitė work?

Indrė Žliobaitė's main affiliation in the publication record is University of Helsinki, Finland.

How many publications and citations does Indrė Žliobaitė have?

OpenAlex counts 157 works and 8,623 citations for Indrė Žliobaitė, an h-index of 34, ranking #246,949 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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