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Researcher · Michigan Technological University · United States

Laura E. Brown

Laura E. Brown publishes mostly in Artificial Intelligence, Computer Science Applications and Information Systems, on topics such as Bayesian Modeling and Causal Inference, Explainable Artificial Intelligence (XAI) and Online Learning and Analytics.

ORCID 0000-0002-0427-6245 OpenAlex
World rank
#587,320
of 1,633,909 ranked researchers
Rank in United States
#186,152
of 358,040
Works
18
Citations
94
Citations per work
5.2

What does Laura E. Brown research?

Artificial Intelligence: 45.8%Computer Science Applications: 8.3%Information Systems: 8.3%Renewable Energy, Sustainability and the Environment: 8.3%other fields: 29.3%46%top field
Artificial Intelligence45.8%Computer Science Applications8.3%Information Systems8.3%Renewable Energy, Sustainability and the Environment8.3%other fields29.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence46% of their works
  2. 2Computer Science Applications8% of their works
  3. 3Information Systems8% of their works
  4. 4Renewable Energy, Sustainability and the Environment8% of their works
  5. 5Automotive Engineering8% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Laura E. Brown's research?

The keywords of their largest research topics: Bayesian Networks, Deep Neural Networks, Machine Learning, Causal Inference, Educational Data Mining, Graphical Models, Interpretable Models and Learning Analytics.

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. Bayesian Networks32 topics
  2. Deep Neural Networks32 topics
  3. Machine Learning32 topics
  4. Causal Inference21 topic
  5. Educational Data Mining21 topic
  6. Graphical Models21 topic
  7. Interpretable Models21 topic
  8. Learning Analytics21 topic
  9. Machine Learning Interpretability21 topic
  10. Affective States11 topic
  11. Forecasting11 topic
  12. Heuristic Search11 topic
  13. Hyperparameter Optimization11 topic
  14. Intelligent Tutoring Systems11 topic
  15. Noisy Labels11 topic
  16. Ontology11 topic
  17. Planning Systems11 topic
  18. Semantic Web11 topic
  19. Solar Radiation11 topic

Where does Laura E. Brown work?

Laura E. Brown's main affiliation in the publication record is Michigan Technological University, United States.

How many publications and citations does Laura E. Brown have?

Science Explorer counts 18 works and 94 citations for Laura E. Brown, ranking #587,320 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.