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Researcher · Alsalam University College · Iraq

Sabah Abdulazeez Jebur

Sabah Abdulazeez Jebur publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection and COVID-19 diagnosis using AI.

ORCID 0000-0003-4653-6778 OpenAlex
World rank
#1,050,482
of 7,710,434 ranked researchers
Rank in Iraq
#459
of 9,225
Works
25
Citations
324
Citations per work
13.0
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Sabah Abdulazeez Jebur

What does Sabah Abdulazeez Jebur research?

Sabah Abdulazeez Jebur's work is mostly in Computer Science (58%), Medicine (12%), Engineering (4%).

Physical Sciences: 15 works · 61.6% of their workComputer Science: 14 works · 57.5% of their workArtificial Intelligence: 5 works · 21.9% of their workComputer Vision and Pattern Recognition: 5 works · 21.9% of their workComputer Networks and Communications: 2 works · 9.6% of their workSignal Processing: 1 works · 4.1% of their workEngineering: 1 works · 4.1% of their workBiomedical Engineering: 1 works · 4.1% of their workEverything else: 7 works · 26.1% of their workHealth Sciences: 3 works · 12.3% of their workMedicine: 3 works · 12.3% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 12.3% of their workTHEIR WORKSabah AbdulazeezJebur25works
Physical Sciences62%Health Sciences12%

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 Science1457.5%
    2. Engineering14.1%
  2. Everything else726.1%
    1. Medicine312.3%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Radiology, Nuclear Medicine and Imaging12% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Signal Processing4% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe Sabah Abdulazeez Jebur's research?

The keywords of their largest research topics: Deep Learning, Anomaly Detection, Convolutional Neural Networks, Outlier Detection, Transfer Learning, Unsupervised, Machine Learning and Medical Imaging.

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 Learning247 topics
  2. Anomaly Detection122 topics
  3. Convolutional Neural Networks83 topics
  4. Outlier Detection81 topic
  5. Transfer Learning83 topics
  6. Unsupervised81 topic
  7. Machine Learning62 topics
  8. Medical Imaging62 topics
  9. COVID-1941 topic
  10. Chest X-Ray41 topic
  11. Intrusion Detection41 topic
  12. Network Security41 topic
  13. Pose Estimation42 topics
  14. Action Recognition21 topic
  15. Brain Tumor21 topic
  16. Domain Adaptation21 topic
  17. Face Recognition21 topic
  18. Facial Landmark Detection21 topic
  19. Few-Shot Learning21 topic
  20. Image Recognition21 topic
  21. MRI21 topic
  22. Object Detection21 topic
  23. Spatiotemporal Features21 topic

Where does Sabah Abdulazeez Jebur work?

Sabah Abdulazeez Jebur's main affiliation in the publication record is Alsalam University College, Iraq.

How many publications and citations does Sabah Abdulazeez Jebur have?

OpenAlex counts 25 works and 324 citations for Sabah Abdulazeez Jebur, an h-index of 10, ranking #1,050,482 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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