Science Explorer Back to mapMap
Discussion
Researcher · Cycorp (United States) · United States

Jon Curtis

Jon Curtis publishes mostly in Artificial Intelligence, Infectious Diseases and Computer Vision and Pattern Recognition, on topics such as Natural Language Processing Techniques, Topic Modeling and Semantic Web and Ontologies.

OpenAlex
World rank
#2,404,644
of 7,710,434 ranked researchers
Rank in United States
#713,000
of 1,627,098
Works
21
Citations
472
Citations per work
22.5
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Jon Curtis

What does Jon Curtis research?

Jon Curtis's work is mostly in Computer Science (63%), Medicine (21%), Biochemistry, Genetics and Molecular Biology (9%).

Physical Sciences: 13 works · 63.2% of their workComputer Science: 13 works · 63.2% of their workArtificial Intelligence: 9 works · 43.9% of their workComputer Vision and Pattern Recognition: 3 works · 14.0% of their workInformation Systems: 1 works · 3.5% of their workSignal Processing: 0 works · 1.8% of their workHealth Sciences: 4 works · 21.1% of their workMedicine: 4 works · 21.1% of their workInfectious Diseases: 4 works · 21.1% of their workLife Sciences: 2 works · 8.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 8.8% of their workMolecular Biology: 2 works · 8.8% of their workEverything else: 1 works · 6.9% of their workTHEIR WORKJon Curtis21works
Life Sciences9%Physical Sciences63%Health Sciences21%

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 Science1363.2%
    1. Medicine421.1%
    1. Biochemistry, Genetics and Molecular Biology28.8%
  4. Everything else16.9%
  1. 1Artificial Intelligence44% of their works
  2. 2Infectious Diseases21% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Molecular Biology9% of their works
  5. 5Information Systems4% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Jon Curtis's research?

The keywords of their largest research topics: SARS-CoV-2, Neural Machine Translation, Statistical Machine Translation, Vaccine, Neural Networks, Ontology, Semantic Web and Word Representation.

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 18 words, with their numbers
  1. SARS-CoV-282 topics
  2. Neural Machine Translation71 topic
  3. Statistical Machine Translation71 topic
  4. Vaccine72 topics
  5. Neural Networks61 topic
  6. Ontology61 topic
  7. Semantic Web61 topic
  8. Word Representation61 topic
  9. COVID-1941 topic
  10. Coronavirus41 topic
  11. Diagnostics41 topic
  12. spike protein41 topic
  13. Content-Based Retrieval31 topic
  14. Norovirus31 topic
  15. Rotavirus31 topic
  16. Video Summarization31 topic
  17. Ribosome21 topic
  18. Translation21 topic

Where does Jon Curtis work?

Jon Curtis's main affiliation in the publication record is Cycorp (United States), United States.

How many publications and citations does Jon Curtis have?

OpenAlex counts 21 works and 472 citations for Jon Curtis, an h-index of 10, ranking #2,404,644 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

Ask a question or share a note about Jon Curtis. Posts are plain text and can be reported.