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Researcher · Nvidia (United States) · United States

Ahmed Harouni

Ahmed Harouni publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics, on topics such as Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI and Artificial Intelligence in Healthcare and Education.

OpenAlex
World rank
#3,342,954
of 7,710,434 ranked researchers
Rank in United States
#942,837
of 1,627,098
Works
15
Citations
1.1k
Citations per work
75.8
h-index
9
i10-index 9Top 62% in Radiology, Nuclear Medicine and Imaging
Ahmed Harouni

What does Ahmed Harouni research?

Ahmed Harouni's work is mostly in Medicine (67%), Computer Science (16%), Engineering (7%).

Health Sciences: 10 works · 66.7% of their workMedicine: 10 works · 66.7% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 37.8% of their workHealth Informatics: 2 works · 11.1% of their workNeurology: 1 works · 8.9% of their workPulmonary and Respiratory Medicine: 1 works · 8.9% of their workPhysical Sciences: 3 works · 22.3% of their workComputer Science: 2 works · 15.6% of their workArtificial Intelligence: 2 works · 15.6% of their workEngineering: 1 works · 6.7% of their workBiomedical Engineering: 1 works · 6.7% of their workEverything else: 2 works · 11.0% of their workTHEIR WORKAhmed Harouni15works
Physical Sciences22%Health Sciences67%

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. Medicine1066.7%
    1. Computer Science215.6%
    2. Engineering16.7%
  3. Everything else211.0%
  1. 1Radiology, Nuclear Medicine and Imaging38% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Health Informatics11% of their works
  4. 4Neurology9% of their works
  5. 5Pulmonary and Respiratory Medicine9% of their works
  6. 6Biomedical Engineering7% of their works

Research topics

Which keywords describe Ahmed Harouni's research?

The keywords of their largest research topics: Medical Imaging, Machine Learning, Artificial Intelligence, Precision Medicine, Deep Learning, Convolutional Neural Networks, Texture Analysis and Chest X-Ray.

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. Medical Imaging193 topics
  2. Machine Learning174 topics
  3. Artificial Intelligence122 topics
  4. Precision Medicine122 topics
  5. Deep Learning113 topics
  6. Convolutional Neural Networks92 topics
  7. Texture Analysis92 topics
  8. COVID-1971 topic
  9. Chest X-Ray71 topic
  10. Quantitative Analysis71 topic
  11. Radiomics71 topic
  12. Clinical Decision Support51 topic
  13. Healthcare51 topic
  14. Medical Image Analysis42 topics
  15. Differential Privacy31 topic
  16. Federated Learning31 topic
  17. Cerebral Amyloid Angiopathy21 topic
  18. Computer-Aided Detection21 topic
  19. Dual-Energy CT21 topic
  20. Graph Cuts21 topic
  21. Histopathology Images21 topic
  22. Image Segmentation21 topic
  23. Intracerebral Hemorrhage21 topic
  24. Material Differentiation21 topic

Where does Ahmed Harouni work?

Ahmed Harouni's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Ahmed Harouni have?

OpenAlex counts 15 works and 1,137 citations for Ahmed Harouni, an h-index of 9, ranking #3,342,954 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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