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Researcher · Jadara University · Jordan

Mowafaq Salem Alzboon

Mowafaq Salem Alzboon publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Artificial Intelligence in Healthcare, AI in cancer detection and Organizational and Employee Performance.

ORCID 0000-0002-3522-6689 OpenAlex
World rank
#175,262
of 7,710,434 ranked researchers
Rank in Jordan
#122
of 5,764
Works
100
Citations
1.2k
Citations per work
11.9
h-index
21
i10-index 43Top 12% in Artificial Intelligence
Mowafaq Salem Alzboon

What does Mowafaq Salem Alzboon research?

Mowafaq Salem Alzboon's work is mostly in Computer Science (35%), Health Professions (6%), Engineering (5%).

Everything else: 54 works · 54.4% of their workPhysical Sciences: 40 works · 40.1% of their workComputer Science: 35 works · 35.0% of their workArtificial Intelligence: 15 works · 15.0% of their workInformation Systems: 7 works · 7.3% of their workComputer Vision and Pattern Recognition: 7 works · 6.9% of their workComputer Networks and Communications: 6 works · 5.8% of their workEngineering: 5 works · 5.1% of their workAerospace Engineering: 5 works · 5.1% of their workHealth Sciences: 6 works · 5.5% of their workHealth Professions: 6 works · 5.5% of their workHealth Information Management: 6 works · 5.5% of their workTHEIR WORKMowafaq SalemAlzboon100works
Physical Sciences40%Health Sciences6%

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. Everything else5454.4%
    1. Computer Science3535.0%
    2. Engineering55.1%
    1. Health Professions65.5%
  1. 1Artificial Intelligence15% of their works
  2. 2Information Systems7% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Health Information Management6% of their works
  6. 6Aerospace Engineering5% of their works

Research topics

Which keywords describe Mowafaq Salem Alzboon's research?

The keywords of their largest research topics: Machine Learning, Healthcare, Deep Learning, Big Data Analytics, Medical Diagnosis, Medical Imaging, Precision Medicine and Histopathology Images.

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 21 words, with their numbers
  1. Machine Learning445 topics
  2. Healthcare344 topics
  3. Deep Learning203 topics
  4. Big Data Analytics151 topic
  5. Medical Diagnosis151 topic
  6. Medical Imaging112 topics
  7. Precision Medicine112 topics
  8. Histopathology Images101 topic
  9. Medical Image Analysis101 topic
  10. IoT81 topic
  11. Smart Cities81 topic
  12. Artificial Intelligence61 topic
  13. Clinical Decision Support61 topic
  14. Information Systems61 topic
  15. Technology Acceptance Model61 topic
  16. UAV Networks61 topic
  17. Wireless Communications61 topic
  18. Brain Tumor51 topic
  19. Electronic Health Records51 topic
  20. MRI51 topic
  21. Predictive Modeling51 topic

Where does Mowafaq Salem Alzboon work?

Mowafaq Salem Alzboon's main affiliation in the publication record is Jadara University, Jordan.

How many publications and citations does Mowafaq Salem Alzboon have?

OpenAlex counts 100 works and 1,189 citations for Mowafaq Salem Alzboon, an h-index of 21, ranking #175,262 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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