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Researcher · SUNY New Paltz · United States

Chantal D. Larose

Chantal D. Larose publishes mostly in Information Systems, Artificial Intelligence and Signal Processing, on topics such as Data Mining Algorithms and Applications, Bayesian Methods and Mixture Models and Advanced Clustering Algorithms Research.

OpenAlex
World rank
#2,204,295
of 7,710,434 ranked researchers
Rank in United States
#661,183
of 1,627,098
Works
56
Citations
999
Citations per work
17.8
h-index
7
i10-index 7Top 37% in Information Systems
Chantal D. Larose

What does Chantal D. Larose research?

Chantal D. Larose's work is mostly in Computer Science (78%), Mathematics (6%), Medicine (3%).

Physical Sciences: 47 works · 83.4% of their workComputer Science: 44 works · 77.8% of their workInformation Systems: 30 works · 52.8% of their workArtificial Intelligence: 11 works · 19.4% of their workSignal Processing: 3 works · 5.6% of their workMathematics: 3 works · 5.6% of their workApplied Mathematics: 2 works · 2.8% of their workModeling and Simulation: 2 works · 2.8% of their workEverything else: 8 works · 13.8% of their workHealth Sciences: 2 works · 2.8% of their workMedicine: 2 works · 2.8% of their workEpidemiology: 2 works · 2.8% of their workTHEIR WORKChantal D. Larose56works
Physical Sciences83%Health 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 Science4477.8%
    2. Mathematics35.6%
  2. Everything else813.8%
    1. Medicine22.8%
  1. 1Information Systems53% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Signal Processing6% of their works
  4. 4Applied Mathematics3% of their works
  5. 5Modeling and Simulation3% of their works
  6. 6Epidemiology3% of their works

Research topics

Which keywords describe Chantal D. Larose's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Frequent Patterns, Clustering Algorithms, Clustering, Mixture Models, Cluster Validation and GPS Trajectories.

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 18 words, with their numbers
  1. Machine Learning202 topics
  2. Data Mining191 topic
  3. Frequent Patterns191 topic
  4. Clustering Algorithms42 topics
  5. Clustering31 topic
  6. Mixture Models31 topic
  7. Cluster Validation21 topic
  8. GPS Trajectories21 topic
  9. K-means21 topic
  10. Trajectory Data Mining21 topic
  11. Dimensionality Reduction11 topic
  12. Face Recognition11 topic
  13. Mathematical Literacy11 topic
  14. Ontology11 topic
  15. Problem-Solving11 topic
  16. Python11 topic
  17. Scientific Computing11 topic
  18. Semantic Web11 topic

Where does Chantal D. Larose work?

Chantal D. Larose's main affiliation in the publication record is SUNY New Paltz, United States.

How many publications and citations does Chantal D. Larose have?

OpenAlex counts 56 works and 999 citations for Chantal D. Larose, an h-index of 7, ranking #2,204,295 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.

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