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Researcher · University of Waikato · New Zealand

Jacob Montiel

Jacob Montiel publishes mostly in Artificial Intelligence, Information Systems and Management Science and Operations Research, on topics such as Data Stream Mining Techniques, Machine Learning and Data Classification and Anomaly Detection Techniques and Applications.

ORCID 0000-0003-2245-0718 OpenAlex
World rank
#3,996,035
of 7,710,434 ranked researchers
Rank in New Zealand
#14,076
of 21,128
Works
30
Citations
707
Citations per work
23.6
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Jacob Montiel

What does Jacob Montiel research?

Jacob Montiel's work is mostly in Computer Science (85%), Decision Sciences (5%), Environmental Science (2%).

Physical Sciences: 26 works · 87.2% of their workComputer Science: 25 works · 84.9% of their workArtificial Intelligence: 21 works · 69.8% of their workInformation Systems: 2 works · 8.1% of their workComputer Networks and Communications: 1 works · 3.5% of their workSignal Processing: 1 works · 3.5% of their workEnvironmental Science: 1 works · 2.3% of their workEcology: 1 works · 2.3% of their workEverything else: 2 works · 8.1% of their workSocial Sciences: 1 works · 4.7% of their workDecision Sciences: 1 works · 4.7% of their workManagement Science and Operations Research: 1 works · 4.7% of their workTHEIR WORKJacob Montiel30works
Physical Sciences87%Social Sciences5%

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 Science2584.9%
    2. Environmental Science12.3%
  2. Everything else28.1%
    1. Decision Sciences14.7%
  1. 1Artificial Intelligence70% of their works
  2. 2Information Systems8% of their works
  3. 3Management Science and Operations Research5% of their works
  4. 4Signal Processing4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Ecology2% of their works

Research topics

Which keywords describe Jacob Montiel's research?

The keywords of their largest research topics: Concept Drift, Data Streams, Classification, Deep Learning, Neural Networks, Hyperparameter Optimization, Noisy Labels and Information Retrieval.

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 21 words, with their numbers
  1. Concept Drift191 topic
  2. Data Streams191 topic
  3. Classification112 topics
  4. Deep Learning112 topics
  5. Neural Networks112 topics
  6. Hyperparameter Optimization91 topic
  7. Noisy Labels91 topic
  8. Information Retrieval82 topics
  9. Text Classification82 topics
  10. Anomaly Detection71 topic
  11. Unsupervised71 topic
  12. Electronic Health Records41 topic
  13. Feature Selection41 topic
  14. Healthcare41 topic
  15. Machine Translation41 topic
  16. Multi-label Learning41 topic
  17. Word Representation41 topic
  18. Python31 topic
  19. Scientific Computing31 topic
  20. Imbalanced Data21 topic
  21. SMOTE21 topic

Where does Jacob Montiel work?

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

How many publications and citations does Jacob Montiel have?

OpenAlex counts 30 works and 707 citations for Jacob Montiel, an h-index of 10, ranking #3,996,035 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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