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Researcher · University of Waikato · New Zealand

Bernhard Pfahringer

Bernhard Pfahringer publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as Data Stream Mining Techniques, Machine Learning and Data Classification and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-3732-5787 OpenAlex
World rank
#198,113
of 7,710,434 ranked researchers
Rank in New Zealand
#684
of 21,128
Works
320
Citations
32k
Citations per work
100.7
h-index
51
i10-index 129Top 0.9% in Artificial Intelligence
Bernhard Pfahringer

What does Bernhard Pfahringer research?

Bernhard Pfahringer's work is mostly in Computer Science (78%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 249 works · 77.8% of their workComputer Science: 249 works · 77.8% of their workArtificial Intelligence: 178 works · 55.6% of their workInformation Systems: 24 works · 7.5% of their workSignal Processing: 20 works · 6.1% of their workComputer Vision and Pattern Recognition: 15 works · 4.7% of their workComputational Theory and Mathematics: 12 works · 3.9% of their workEverything else: 62 works · 19.4% of their workLife Sciences: 9 works · 2.8% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 2.8% of their workMolecular Biology: 9 works · 2.8% of their workTHEIR WORKBernhardPfahringer320works
Life Sciences3%Physical Sciences78%

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 Science24977.8%
  2. Everything else6219.4%
    1. Biochemistry, Genetics and Molecular Biology92.8%
  1. 1Artificial Intelligence56% of their works
  2. 2Information Systems8% of their works
  3. 3Signal Processing6% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Bernhard Pfahringer's research?

The keywords of their largest research topics: Concept Drift, Data Streams, Classification, Hyperparameter Optimization, Noisy Labels, Deep Learning, Time Series 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. Concept Drift1161 topic
  2. Data Streams1161 topic
  3. Classification1152 topics
  4. Hyperparameter Optimization931 topic
  5. Noisy Labels931 topic
  6. Deep Learning822 topics
  7. Time Series822 topics
  8. Machine Learning592 topics
  9. Anomaly Detection411 topic
  10. Clustering411 topic
  11. Dynamic Time Warping411 topic
  12. Unsupervised411 topic
  13. Data Mining381 topic
  14. Frequent Patterns381 topic
  15. Multi-label Learning311 topic
  16. Text Classification311 topic
  17. Imbalanced Data221 topic
  18. SMOTE221 topic
  19. Phishing211 topic
  20. Spam Detection211 topic

Where does Bernhard Pfahringer work?

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

How many publications and citations does Bernhard Pfahringer have?

OpenAlex counts 320 works and 32,218 citations for Bernhard Pfahringer, an h-index of 51, ranking #198,113 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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