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Researcher · University of Kentucky · United States

Melissa D. Clarkson

Melissa D. Clarkson publishes mostly in Molecular Biology, Artificial Intelligence and Biomedical Engineering, on topics such as Biomedical Text Mining and Ontologies, Semantic Web and Ontologies and Anatomy and Medical Technology.

ORCID 0000-0001-9979-176X OpenAlex
World rank
#5,002,108
of 7,710,434 ranked researchers
Rank in United States
#1,297,954
of 1,627,098
Works
33
Citations
304
Citations per work
9.2
h-index
7
i10-index 7Top 91% in Molecular Biology
Melissa D. Clarkson

What does Melissa D. Clarkson research?

Melissa D. Clarkson's work is mostly in Biochemistry, Genetics and Molecular Biology (25%), Computer Science (20%), Engineering (6%).

Everything else: 15 works · 45.5% of their workPhysical Sciences: 8 works · 25.6% of their workComputer Science: 7 works · 20.0% of their workArtificial Intelligence: 5 works · 14.4% of their workComputer Vision and Pattern Recognition: 2 works · 5.6% of their workEngineering: 2 works · 5.6% of their workBiomedical Engineering: 2 works · 5.6% of their workLife Sciences: 8 works · 24.5% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 24.5% of their workMolecular Biology: 6 works · 18.9% of their workGenetics: 2 works · 5.6% of their workHealth Sciences: 1 works · 4.4% of their workMedicine: 1 works · 4.4% of their workAnatomy: 1 works · 4.4% of their workTHEIR WORKMelissa D.Clarkson33works
Life Sciences25%Physical Sciences26%Health Sciences4%

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 else1545.5%
    1. Computer Science720.0%
    2. Engineering25.6%
    1. Biochemistry, Genetics and Molecular Biology824.5%
    1. Medicine14.4%
  1. 1Molecular Biology19% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Biomedical Engineering6% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Genetics6% of their works
  6. 6Anatomy4% of their works

Research topics

Which keywords describe Melissa D. Clarkson's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Knowledge Management, Biomedical Ontologies, Text Mining, Linked Data, Ontology and Corpus Linguistics.

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 20 words, with their numbers
  1. Data Integration202 topics
  2. Semantic Web202 topics
  3. Knowledge Management152 topics
  4. Biomedical Ontologies121 topic
  5. Text Mining121 topic
  6. Linked Data81 topic
  7. Ontology81 topic
  8. Corpus Linguistics72 topics
  9. 3D Printing51 topic
  10. Anatomy Education51 topic
  11. Anatomical Nomenclature41 topic
  12. Eponyms41 topic
  13. Information Visualization41 topic
  14. Neural Machine Translation41 topic
  15. Statistical Machine Translation41 topic
  16. Visual Analytics41 topic
  17. Academic Writing31 topic
  18. Design Thinking31 topic
  19. Discourse Analysis31 topic
  20. Engineering Design31 topic

Where does Melissa D. Clarkson work?

Melissa D. Clarkson's main affiliation in the publication record is University of Kentucky, United States.

How many publications and citations does Melissa D. Clarkson have?

OpenAlex counts 33 works and 304 citations for Melissa D. Clarkson, an h-index of 7, ranking #5,002,108 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.

Discussion

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