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Researcher · Stanford Health Care · United States

Joshua Jay Reicher

Joshua Jay Reicher publishes mostly in Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis and Lung Cancer Diagnosis and Treatment.

ORCID 0000-0002-8223-2264 OpenAlex
World rank
#1,581,872
of 7,710,434 ranked researchers
Rank in United States
#492,833
of 1,627,098
Works
50
Citations
6.5k
Citations per work
129.5
h-index
13
i10-index 15Top 38% in Pulmonary and Respiratory Medicine
Joshua Jay Reicher

What does Joshua Jay Reicher research?

Joshua Jay Reicher's work is mostly in Medicine (73%), Computer Science (5%), Health Professions (2%).

Health Sciences: 38 works · 75.6% of their workMedicine: 37 works · 73.2% of their workPulmonary and Respiratory Medicine: 19 works · 38.6% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 26.0% of their workPathology and Forensic Medicine: 2 works · 4.7% of their workHealth Informatics: 2 works · 3.9% of their workHealth Professions: 1 works · 2.4% of their workHealth Information Management: 1 works · 2.4% of their workEverything else: 10 works · 19.7% of their workPhysical Sciences: 2 works · 4.7% of their workComputer Science: 2 works · 4.7% of their workArtificial Intelligence: 2 works · 4.7% of their workTHEIR WORKJoshua JayReicher50works
Physical Sciences5%Health Sciences76%

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. Medicine3773.2%
    2. Health Professions12.4%
  2. Everything else1019.7%
    1. Computer Science24.7%
  1. 1Pulmonary and Respiratory Medicine39% of their works
  2. 2Radiology, Nuclear Medicine and Imaging26% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Pathology and Forensic Medicine5% of their works
  5. 5Health Informatics4% of their works
  6. 6Health Information Management2% of their works

Research topics

Which keywords describe Joshua Jay Reicher's research?

The keywords of their largest research topics: Medical Imaging, Machine Learning, Precision Medicine, Fibrosis, Quantitative Analysis, Radiomics, Idiopathic Pulmonary Fibrosis and Interstitial Lung Disease.

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 23 words, with their numbers
  1. Medical Imaging323 topics
  2. Machine Learning293 topics
  3. Precision Medicine252 topics
  4. Fibrosis242 topics
  5. Quantitative Analysis201 topic
  6. Radiomics201 topic
  7. Idiopathic Pulmonary Fibrosis191 topic
  8. Interstitial Lung Disease191 topic
  9. CT Screening131 topic
  10. Lung Cancer131 topic
  11. Artificial Intelligence122 topics
  12. Convolutional Neural Networks112 topics
  13. Deep Learning112 topics
  14. COVID-1971 topic
  15. Chest X-Ray71 topic
  16. Autoantibodies51 topic
  17. Clinical Decision Support51 topic
  18. Healthcare51 topic
  19. Radiology Errors51 topic
  20. Structured Reporting51 topic
  21. Systemic Sclerosis51 topic
  22. Histopathology Images41 topic
  23. Medical Image Analysis41 topic

Where does Joshua Jay Reicher work?

Joshua Jay Reicher's main affiliation in the publication record is Stanford Health Care, United States.

How many publications and citations does Joshua Jay Reicher have?

OpenAlex counts 50 works and 6,474 citations for Joshua Jay Reicher, an h-index of 13, ranking #1,581,872 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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