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Researcher · University of Waikato · New Zealand

Geoffrey Holmes

Geoffrey Holmes publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as Machine Learning and Data Classification, Data Stream Mining Techniques and Data Mining Algorithms and Applications.

ORCID 0000-0003-0433-8925 OpenAlex
World rank
#91,995
of 7,710,434 ranked researchers
Rank in New Zealand
#276
of 21,128
Works
243
Citations
38k
Citations per work
155.3
h-index
55
i10-index 101Top 0.7% in Artificial Intelligence
Geoffrey Holmes

What does Geoffrey Holmes research?

Geoffrey Holmes's work is mostly in Computer Science (62%), Biochemistry, Genetics and Molecular Biology (4%), Arts and Humanities (3%).

Physical Sciences: 149 works · 61.5% of their workComputer Science: 149 works · 61.5% of their workArtificial Intelligence: 97 works · 40.1% of their workInformation Systems: 29 works · 11.8% of their workSignal Processing: 14 works · 5.8% of their workComputer Vision and Pattern Recognition: 9 works · 3.8% of their workEverything else: 78 works · 32.0% of their workLife Sciences: 9 works · 3.5% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 3.5% of their workMolecular Biology: 9 works · 3.5% of their workSocial Sciences: 7 works · 3.0% of their workArts and Humanities: 7 works · 3.0% of their workHistory: 7 works · 3.0% of their workTHEIR WORKGeoffrey Holmes243works
Life Sciences4%Physical Sciences62%Social Sciences3%

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 Science14961.5%
  2. Everything else7832.0%
    1. Biochemistry, Genetics and Molecular Biology93.5%
    1. Arts and Humanities73.0%
  1. 1Artificial Intelligence40% of their works
  2. 2Information Systems12% of their works
  3. 3Signal Processing6% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Molecular Biology4% of their works
  6. 6History3% of their works

Research topics

Which keywords describe Geoffrey Holmes's research?

The keywords of their largest research topics: Classification, Hyperparameter Optimization, Noisy Labels, Machine Learning, Concept Drift, Data Streams, Deep Learning and Data Mining.

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. Classification792 topics
  2. Hyperparameter Optimization651 topic
  3. Noisy Labels651 topic
  4. Machine Learning582 topics
  5. Concept Drift571 topic
  6. Data Streams571 topic
  7. Deep Learning533 topics
  8. Data Mining471 topic
  9. Frequent Patterns471 topic
  10. Time Series422 topics
  11. Clustering231 topic
  12. Dynamic Time Warping231 topic
  13. Anomaly Detection191 topic
  14. Unsupervised191 topic
  15. Imbalanced Data141 topic
  16. SMOTE141 topic
  17. Active Learning111 topic
  18. Multi-label Learning111 topic
  19. Semi-Supervised Learning111 topic
  20. Text Classification111 topic

Where does Geoffrey Holmes work?

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

How many publications and citations does Geoffrey Holmes have?

OpenAlex counts 243 works and 37,749 citations for Geoffrey Holmes, an h-index of 55, ranking #91,995 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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