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Researcher · Damietta University · Egypt

Abeer Saber

Abeer Saber publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Brain Tumor Detection and Classification and COVID-19 diagnosis using AI.

ORCID 0000-0002-9261-0927 OpenAlex
World rank
#249,433
of 7,710,434 ranked researchers
Rank in Egypt
#637
of 36,277
Works
42
Citations
1.4k
Citations per work
32.3
h-index
18
i10-index 21Top 16% in Artificial Intelligence
Abeer Saber

What does Abeer Saber research?

Abeer Saber's work is mostly in Computer Science (41%), Medicine (8%), Neuroscience (8%).

Physical Sciences: 17 works · 41.0% of their workComputer Science: 17 works · 41.0% of their workArtificial Intelligence: 11 works · 25.6% of their workComputer Vision and Pattern Recognition: 6 works · 15.4% of their workEverything else: 16 works · 37.6% of their workHealth Sciences: 5 works · 11.1% of their workMedicine: 4 works · 8.5% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 8.5% of their workHealth Professions: 1 works · 2.6% of their workHealth Information Management: 1 works · 2.6% of their workLife Sciences: 4 works · 10.3% of their workNeuroscience: 3 works · 7.7% of their workNeurology: 3 works · 7.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.6% of their workMolecular Biology: 1 works · 2.6% of their workTHEIR WORKAbeer Saber42works
Life Sciences10%Physical Sciences41%Health Sciences11%

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. Computer Science1741.0%
  2. Everything else1637.6%
    1. Medicine48.5%
    2. Health Professions12.6%
    1. Neuroscience37.7%
    2. Biochemistry, Genetics and Molecular Biology12.6%
  1. 1Artificial Intelligence26% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Neurology8% of their works
  5. 5Health Information Management3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Abeer Saber's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Imaging, Feature Extraction, Medical Image Analysis, Transfer Learning and Computer-Aided Detection.

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. Deep Learning345 topics
  2. Machine Learning294 topics
  3. Convolutional Neural Networks285 topics
  4. Medical Imaging183 topics
  5. Feature Extraction163 topics
  6. Medical Image Analysis162 topics
  7. Transfer Learning142 topics
  8. Computer-Aided Detection131 topic
  9. Histopathology Images131 topic
  10. Brain Tumor91 topic
  11. MRI91 topic
  12. COVID-1951 topic
  13. Chest X-Ray51 topic
  14. Image Recognition41 topic
  15. Object Detection41 topic
  16. Quantitative Analysis41 topic
  17. Radiomics41 topic
  18. Acoustic Modeling31 topic
  19. Deep Neural Networks31 topic
  20. Digital Forensics31 topic
  21. Image Forgery Detection31 topic
  22. Leukemia Classification31 topic
  23. Malaria Parasite Detection31 topic

Where does Abeer Saber work?

Abeer Saber's main affiliation in the publication record is Damietta University, Egypt.

How many publications and citations does Abeer Saber have?

OpenAlex counts 42 works and 1,357 citations for Abeer Saber, an h-index of 18, ranking #249,433 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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