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Researcher · MCE Avocats (Switzerland) · Switzerland

Laura Dubois

Laura Dubois publishes mostly in Artificial Intelligence, Health Informatics and Oceanography, on topics such as Artificial Intelligence in Healthcare and Education, Explainable Artificial Intelligence (XAI) and Machine Learning in Healthcare.

OpenAlex
World rank
#6,759,039
of 7,710,434 ranked researchers
Rank in Switzerland
#77,271
of 80,918
Works
15
Citations
1
Citations per work
0.1
h-index
1
i10-index 0Top 99% in Artificial Intelligence
Laura Dubois

What does Laura Dubois research?

Laura Dubois's work is mostly in Computer Science (18%), Medicine (14%), Earth and Planetary Sciences (9%).

Everything else: 6 works · 41.0% of their workPhysical Sciences: 5 works · 36.4% of their workComputer Science: 3 works · 18.2% of their workArtificial Intelligence: 3 works · 18.2% of their workEarth and Planetary Sciences: 1 works · 9.1% of their workOceanography: 1 works · 9.1% of their workMathematics: 1 works · 9.1% of their workStatistics and Probability: 1 works · 9.1% of their workHealth Sciences: 2 works · 13.6% of their workMedicine: 2 works · 13.6% of their workHealth Informatics: 2 works · 13.6% of their workLife Sciences: 1 works · 9.0% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workGenetics: 1 works · 4.5% of their workPharmacology, Toxicology and Pharmaceutics: 1 works · 4.5% of their workPharmacology: 1 works · 4.5% of their workTHEIR WORKLaura Dubois15works
Life Sciences9%Physical Sciences36%Health Sciences14%

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. Everything else641.0%
    1. Computer Science318.2%
    2. Earth and Planetary Sciences19.1%
    3. Mathematics19.1%
    1. Medicine213.6%
    1. Biochemistry, Genetics and Molecular Biology14.5%
    2. Pharmacology, Toxicology and Pharmaceutics14.5%
  1. 1Artificial Intelligence18% of their works
  2. 2Health Informatics14% of their works
  3. 3Oceanography9% of their works
  4. 4Statistics and Probability9% of their works
  5. 5Genetics4% of their works
  6. 6Pharmacology4% of their works

Research topics

Which keywords describe Laura Dubois's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Artificial Intelligence, Machine Learning, Benthic Communities, Deep Learning, Electronic Health Records and Interpretable Models.

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 20 words, with their numbers
  1. Healthcare102 topics
  2. Precision Medicine102 topics
  3. Artificial Intelligence61 topic
  4. Machine Learning61 topic
  5. Benthic Communities42 topics
  6. Deep Learning41 topic
  7. Electronic Health Records41 topic
  8. Interpretable Models41 topic
  9. Machine Learning Interpretability41 topic
  10. Marine Biodiversity42 topics
  11. Cytochrome P45021 topic
  12. Data Sharing21 topic
  13. Deep-Sea Ecology21 topic
  14. Ecosystem Functioning21 topic
  15. Genetic Variants21 topic
  16. Kelp Forests21 topic
  17. Pharmacogenetics21 topic
  18. Scientific Data Management21 topic
  19. Seagrasses21 topic
  20. Sequence Interpretation21 topic

Where does Laura Dubois work?

Laura Dubois's main affiliation in the publication record is MCE Avocats (Switzerland), Switzerland.

How many publications and citations does Laura Dubois have?

OpenAlex counts 15 works and 1 citations for Laura Dubois, an h-index of 1, ranking #6,759,039 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.

Discussion

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