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Researcher · University of Oxford · United Kingdom

David Andrew Clifton

David Andrew Clifton publishes mostly in Artificial Intelligence, Cardiology and Cardiovascular Medicine and Surgery, on topics such as Machine Learning in Healthcare, Non-Invasive Vital Sign Monitoring and Healthcare Technology and Patient Monitoring.

ORCID 0000-0002-9848-8555 OpenAlex
World rank
#72,743
of 7,710,434 ranked researchers
Rank in United Kingdom
#6,230
of 367,258
Works
448
Citations
16k
Citations per work
35.7
h-index
58
i10-index 202Top 0.6% in Artificial Intelligence
David Andrew Clifton

What does David Andrew Clifton research?

David Andrew Clifton's work is mostly in Medicine (24%), Computer Science (22%), Engineering (6%).

Everything else: 215 works · 47.9% of their workPhysical Sciences: 128 works · 28.5% of their workComputer Science: 100 works · 22.4% of their workArtificial Intelligence: 100 works · 22.4% of their workEngineering: 27 works · 6.1% of their workBiomedical Engineering: 27 works · 6.1% of their workHealth Sciences: 106 works · 23.6% of their workMedicine: 106 works · 23.6% of their workCardiology and Cardiovascular Medicine: 38 works · 8.4% of their workSurgery: 32 works · 7.2% of their workRadiology, Nuclear Medicine and Imaging: 19 works · 4.2% of their workEpidemiology: 17 works · 3.8% of their workTHEIR WORKDavid AndrewClifton448works
Physical Sciences28%Health Sciences24%

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 else21547.9%
    1. Computer Science10022.4%
    2. Engineering276.1%
    1. Medicine10623.6%
  1. 1Artificial Intelligence22% of their works
  2. 2Cardiology and Cardiovascular Medicine8% of their works
  3. 3Surgery7% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Epidemiology4% of their works

Research topics

Which keywords describe David Andrew Clifton's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Electronic Health Records, Predictive Modeling, Physiological Monitoring, Machine Learning and Photoplethysmography.

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 21 words, with their numbers
  1. Healthcare1603 topics
  2. Precision Medicine1272 topics
  3. Deep Learning1242 topics
  4. Electronic Health Records901 topic
  5. Predictive Modeling901 topic
  6. Physiological Monitoring852 topics
  7. Machine Learning702 topics
  8. Photoplethysmography631 topic
  9. Remote Monitoring631 topic
  10. Alarm Fatigue511 topic
  11. Clinical Alarms511 topic
  12. Neural Networks411 topic
  13. Word Representation411 topic
  14. Artificial Intelligence371 topic
  15. Medical Imaging371 topic
  16. Arrhythmia Detection341 topic
  17. ECG Signal341 topic
  18. Big Data Analytics331 topic
  19. Medical Diagnosis331 topic
  20. Sepsis331 topic
  21. Septic Shock331 topic

Where does David Andrew Clifton work?

David Andrew Clifton's main affiliation in the publication record is University of Oxford, United Kingdom.

How many publications and citations does David Andrew Clifton have?

OpenAlex counts 448 works and 16,002 citations for David Andrew Clifton, an h-index of 58, ranking #72,743 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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