Science Explorer Back to mapMap
Discussion
Researcher · NHS Digital · United Kingdom

Daniel Schofield

Daniel Schofield publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as Machine Learning in Healthcare, Ear Surgery and Otitis Media and COVID-19 diagnosis using AI.

ORCID 0000-0002-9251-8653 OpenAlex
World rank
#4,914,535
of 7,710,434 ranked researchers
Rank in United Kingdom
#297,627
of 367,258
Works
18
Citations
56
Citations per work
3.1
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Daniel Schofield

What does Daniel Schofield research?

Daniel Schofield's work is mostly in Computer Science (31%), Medicine (26%), Biochemistry, Genetics and Molecular Biology (8%).

Everything else: 6 works · 34.7% of their workPhysical Sciences: 6 works · 30.6% of their workComputer Science: 6 works · 30.6% of their workArtificial Intelligence: 4 works · 20.4% of their workComputer Vision and Pattern Recognition: 2 works · 10.2% of their workHealth Sciences: 5 works · 26.5% of their workMedicine: 5 works · 26.5% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 12.2% of their workOtorhinolaryngology: 1 works · 8.2% of their workInfectious Diseases: 1 works · 6.1% of their workLife Sciences: 1 works · 8.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 8.2% of their workMolecular Biology: 1 works · 8.2% of their workTHEIR WORKDaniel Schofield18works
Life Sciences8%Physical Sciences31%Health Sciences26%

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 else634.7%
    1. Computer Science630.6%
    1. Medicine526.5%
    1. Biochemistry, Genetics and Molecular Biology18.2%
  1. 1Artificial Intelligence20% of their works
  2. 2Radiology, Nuclear Medicine and Imaging12% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Otorhinolaryngology8% of their works
  5. 5Molecular Biology8% of their works
  6. 6Infectious Diseases6% of their works

Research topics

Which keywords describe Daniel Schofield's research?

The keywords of their largest research topics: Deep Learning, Hearing Loss, Transfer Learning, Acute Otitis Media, COVID-19, Electronic Health Records, Healthcare and Medical Imaging.

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. Deep Learning82 topics
  2. Hearing Loss62 topics
  3. Transfer Learning62 topics
  4. Acute Otitis Media41 topic
  5. COVID-1941 topic
  6. Electronic Health Records41 topic
  7. Healthcare41 topic
  8. Medical Imaging41 topic
  9. Otitis Media41 topic
  10. Biomedical Ontologies31 topic
  11. Clinical Characteristics31 topic
  12. Neural Networks31 topic
  13. SARS-CoV-231 topic
  14. Text Mining31 topic
  15. Word Representation31 topic
  16. Cochlear Implants21 topic
  17. Cognitive Decline21 topic
  18. Domain Adaptation21 topic
  19. Few-Shot Learning21 topic

Where does Daniel Schofield work?

Daniel Schofield's main affiliation in the publication record is NHS Digital, United Kingdom.

How many publications and citations does Daniel Schofield have?

OpenAlex counts 18 works and 56 citations for Daniel Schofield, an h-index of 5, ranking #4,914,535 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 Daniel Schofield. Posts are plain text and can be reported.