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Researcher · University of Waikato · New Zealand

Eibe Frank

Eibe Frank publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Data Classification, Data Mining Algorithms and Applications and Imbalanced Data Classification Techniques.

ORCID 0000-0001-6152-7111 OpenAlex
World rank
#44,416
of 7,710,434 ranked researchers
Rank in New Zealand
#115
of 21,128
Works
238
Citations
71k
Citations per work
296.6
h-index
63
i10-index 134Top 0.4% in Artificial Intelligence
Eibe Frank

What does Eibe Frank research?

Eibe Frank's work is mostly in Computer Science (72%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 171 works · 72.0% of their workComputer Science: 171 works · 72.0% of their workArtificial Intelligence: 109 works · 45.6% of their workInformation Systems: 28 works · 11.7% of their workComputer Vision and Pattern Recognition: 19 works · 7.9% of their workComputational Theory and Mathematics: 10 works · 4.0% of their workSignal Processing: 7 works · 2.8% of their workEverything else: 59 works · 24.8% of their workLife Sciences: 8 works · 3.2% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 3.2% of their workMolecular Biology: 8 works · 3.2% of their workTHEIR WORKEibe Frank238works
Life Sciences3%Physical Sciences72%

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 Science17172.0%
  2. Everything else5924.8%
    1. Biochemistry, Genetics and Molecular Biology83.2%
  1. 1Artificial Intelligence46% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Computational Theory and Mathematics4% of their works
  5. 5Molecular Biology3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Eibe Frank's research?

The keywords of their largest research topics: Classification, Deep Neural Networks, Hyperparameter Optimization, Noisy Labels, Data Mining, Frequent Patterns, Feature Selection and Imbalanced Data.

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 19 words, with their numbers
  1. Classification882 topics
  2. Deep Neural Networks792 topics
  3. Hyperparameter Optimization631 topic
  4. Noisy Labels631 topic
  5. Data Mining471 topic
  6. Frequent Patterns471 topic
  7. Feature Selection372 topics
  8. Imbalanced Data251 topic
  9. SMOTE251 topic
  10. Concept Drift191 topic
  11. Data Streams191 topic
  12. Granular Computing191 topic
  13. Rough Sets191 topic
  14. Multi-label Learning181 topic
  15. Text Classification181 topic
  16. Bayesian Networks161 topic
  17. Causal Inference161 topic
  18. Interpretable Models161 topic
  19. Machine Learning Interpretability161 topic

Where does Eibe Frank work?

Eibe Frank's main affiliation in the publication record is University of Waikato, New Zealand.

How many publications and citations does Eibe Frank have?

OpenAlex counts 238 works and 70,580 citations for Eibe Frank, an h-index of 63, ranking #44,416 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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