Brad W. Genereaux
Brad W. Genereaux publishes mostly in Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering, on topics such as Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education and Radiology practices and education.
- World rank
- #3,266,330 of 7,710,434 ranked researchers
- Rank in United States
- #924,815 of 1,627,098
- Works
- 17
- Citations
- 685
- Citations per work
- 40.3
What does Brad W. Genereaux research?
Brad W. Genereaux's work is mostly in Medicine (67%), Engineering (12%), Computer Science (4%).
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
- Health Sciences1271.5%
- Medicine1167.4%
- Health Professions14.1%
- Physical Sciences316.3%
- Engineering212.2%
- Computer Science14.1%
- Everything else212.2%
- 1Radiology, Nuclear Medicine and Imaging45% of their works
- 2Health Informatics18% of their works
- 3Biomedical Engineering12% of their works
- 4Health Information Management4% of their works
- 5Pulmonary and Respiratory Medicine4% of their works
- 6Artificial Intelligence4% of their works
Research topics
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare and Education
- Radiology practices and education
- Advanced X-ray and CT Imaging
- Electronic Health Records Systems
- Digital Radiography and Breast Imaging
- Cell Image Analysis Techniques
- Biomedical Text Mining and Ontologies
Which keywords describe Brad W. Genereaux's research?
The keywords of their largest research topics: Machine Learning, Medical Imaging, Precision Medicine, Quantitative Analysis, Radiomics, Artificial Intelligence, Healthcare and Radiology Errors.
- High-Content Screening
- Bioimage Analysis
- Electronic Health Records
- Clinical Decision Support Systems
- Dual-Energy CT
- Radiology Errors
- Artificial Intelligence
- Quantitative Analysis
- Medical Imaging
- Machine Learning
- Precision Medicine
- Radiomics
- Healthcare
- Structured Reporting
- Material Differentiation
- Digital Mammography
- Mammographic Density
- Biomedical Ontologies
- Text Mining
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 19 words, with their numbers
- Machine Learning223 topics
- Medical Imaging212 topics
- Precision Medicine212 topics
- Quantitative Analysis121 topic
- Radiomics121 topic
- Artificial Intelligence91 topic
- Healthcare91 topic
- Radiology Errors81 topic
- Structured Reporting81 topic
- Dual-Energy CT41 topic
- Material Differentiation41 topic
- Clinical Decision Support Systems21 topic
- Digital Mammography21 topic
- Electronic Health Records21 topic
- Mammographic Density21 topic
- Bioimage Analysis11 topic
- Biomedical Ontologies11 topic
- High-Content Screening11 topic
- Text Mining11 topic
Where does Brad W. Genereaux work?
Brad W. Genereaux's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Brad W. Genereaux have?
OpenAlex counts 17 works and 685 citations for Brad W. Genereaux, an h-index of 7, ranking #3,266,330 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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