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Researcher · Intellectual Ventures (United States) · United States

Matthew P. Horning

Matthew P. Horning publishes mostly in Artificial Intelligence, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Digital Imaging for Blood Diseases and Cervical Cancer and HPV Research.

ORCID 0000-0002-1736-7090 OpenAlex
World rank
#995,011
of 7,710,434 ranked researchers
Rank in United States
#325,088
of 1,627,098
Works
42
Citations
946
Citations per work
22.5
h-index
15
i10-index 17Top 22% in Artificial Intelligence
Matthew P. Horning

What does Matthew P. Horning research?

Matthew P. Horning's work is mostly in Medicine (29%), Computer Science (28%), Engineering (7%).

Everything else: 15 works · 36.8% of their workPhysical Sciences: 15 works · 34.6% of their workComputer Science: 12 works · 27.5% of their workArtificial Intelligence: 7 works · 16.3% of their workComputer Vision and Pattern Recognition: 5 works · 11.2% of their workEngineering: 3 works · 7.1% of their workBiomedical Engineering: 3 works · 7.1% of their workHealth Sciences: 12 works · 28.6% of their workMedicine: 12 works · 28.6% of their workPublic Health, Environmental and Occupational Health: 6 works · 13.3% of their workEpidemiology: 4 works · 9.2% of their workHealth Informatics: 3 works · 6.1% of their workTHEIR WORKMatthew P.Horning42works
Physical Sciences35%Health Sciences29%

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 else1536.8%
    1. Computer Science1227.5%
    2. Engineering37.1%
    1. Medicine1228.6%
  1. 1Artificial Intelligence16% of their works
  2. 2Public Health, Environmental and Occupational Health13% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Epidemiology9% of their works
  5. 5Biomedical Engineering7% of their works
  6. 6Health Informatics6% of their works

Research topics

Which keywords describe Matthew P. Horning's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Epidemiology, Global Burden, Deep Learning, Image Processing and Vaccine Development.

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 24 words, with their numbers
  1. Machine Learning314 topics
  2. Convolutional Neural Networks222 topics
  3. Medical Image Analysis222 topics
  4. Epidemiology213 topics
  5. Global Burden162 topics
  6. Deep Learning142 topics
  7. Image Processing142 topics
  8. Vaccine Development132 topics
  9. Computer-Aided Detection111 topic
  10. Histopathology Images111 topic
  11. Leukemia Classification111 topic
  12. Malaria Parasite Detection111 topic
  13. Artemisinin Resistance81 topic
  14. Cervical Cancer81 topic
  15. Human Papillomavirus81 topic
  16. Plasmodium falciparum81 topic
  17. Artificial Intelligence61 topic
  18. Healthcare61 topic
  19. Arboviral Diseases51 topic
  20. Zika Virus51 topic
  21. Bioimage Analysis31 topic
  22. High-Content Screening31 topic
  23. Sexually Transmitted Infections31 topic
  24. Vaginal Microbiome31 topic

Where does Matthew P. Horning work?

Matthew P. Horning's main affiliation in the publication record is Intellectual Ventures (United States), United States.

How many publications and citations does Matthew P. Horning have?

OpenAlex counts 42 works and 946 citations for Matthew P. Horning, an h-index of 15, ranking #995,011 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.

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