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Researcher · Simmons University · United States

Amber Stubbs

Amber Stubbs publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Biomedical Text Mining and Ontologies, Topic Modeling and Machine Learning in Healthcare.

OpenAlex
World rank
#905,297
of 7,710,434 ranked researchers
Rank in United States
#298,490
of 1,627,098
Works
31
Citations
1.7k
Citations per work
55.7
h-index
15
i10-index 18Top 22% in Artificial Intelligence
Amber Stubbs

What does Amber Stubbs research?

Amber Stubbs's work is mostly in Computer Science (50%), Biochemistry, Genetics and Molecular Biology (20%), Health Professions (6%).

Physical Sciences: 17 works · 54.6% of their workComputer Science: 16 works · 50.0% of their workArtificial Intelligence: 16 works · 50.0% of their workEngineering: 1 works · 2.3% of their workComputational Mechanics: 1 works · 2.3% of their workEnvironmental Science: 1 works · 2.3% of their workEcology: 1 works · 2.3% of their workEverything else: 6 works · 19.9% of their workLife Sciences: 6 works · 19.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 19.7% of their workMolecular Biology: 5 works · 17.4% of their workGenetics: 1 works · 2.3% of their workHealth Sciences: 2 works · 5.8% of their workHealth Professions: 2 works · 5.8% of their workHealth Information Management: 2 works · 5.8% of their workTHEIR WORKAmber Stubbs31works
Life Sciences20%Physical Sciences55%Health Sciences6%

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 Science1650.0%
    2. Engineering12.3%
    3. Environmental Science12.3%
  2. Everything else619.9%
    1. Biochemistry, Genetics and Molecular Biology619.7%
    1. Health Professions25.8%
  1. 1Artificial Intelligence50% of their works
  2. 2Molecular Biology17% of their works
  3. 3Health Information Management6% of their works
  4. 4Genetics2% of their works
  5. 5Ecology2% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Amber Stubbs's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Biomedical Ontologies, Electronic Health Records, Neural Networks, Text Mining, Word Representation and Deep Learning.

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. Data Integration212 topics
  2. Semantic Web212 topics
  3. Biomedical Ontologies151 topic
  4. Electronic Health Records152 topics
  5. Neural Networks151 topic
  6. Text Mining151 topic
  7. Word Representation151 topic
  8. Deep Learning111 topic
  9. Healthcare111 topic
  10. Neural Machine Translation71 topic
  11. Statistical Machine Translation71 topic
  12. Linked Data61 topic
  13. Ontology61 topic
  14. Clinical Decision Support Systems41 topic
  15. Health Information Exchange41 topic
  16. Genetic Variants21 topic
  17. Markov Decision Processes21 topic
  18. Sequence Interpretation21 topic
  19. Spoken Dialogue Systems21 topic

Where does Amber Stubbs work?

Amber Stubbs's main affiliation in the publication record is Simmons University, United States.

How many publications and citations does Amber Stubbs have?

OpenAlex counts 31 works and 1,726 citations for Amber Stubbs, an h-index of 15, ranking #905,297 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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