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Researcher · National University of Malaysia · Malaysia

Taher M. Ghazal

Taher M. Ghazal publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Blockchain Technology Applications and Security, IoT and Edge/Fog Computing and Organizational and Employee Performance.

ORCID 0000-0003-0672-7924 OpenAlex
World rank
#753
of 7,710,434 ranked researchers
Rank in Malaysia
#10
of 41,196
Works
213
Citations
13k
Citations per work
61.0
h-index
64
i10-index 163Top 0.4% in Artificial Intelligence
Taher M. Ghazal

What does Taher M. Ghazal research?

Taher M. Ghazal's work is mostly in Computer Science (52%), Engineering (5%), Medicine (3%).

Physical Sciences: 121 works · 56.6% of their workComputer Science: 111 works · 51.9% of their workArtificial Intelligence: 47 works · 22.0% of their workInformation Systems: 29 works · 13.4% of their workComputer Networks and Communications: 22 works · 10.5% of their workComputer Vision and Pattern Recognition: 13 works · 6.0% of their workEngineering: 10 works · 4.7% of their workElectrical and Electronic Engineering: 10 works · 4.7% of their workEverything else: 86 works · 40.5% of their workHealth Sciences: 6 works · 2.9% of their workMedicine: 6 works · 2.9% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 2.9% of their workTHEIR WORKTaher M. Ghazal213works
Physical Sciences57%Health Sciences3%

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 Science11151.9%
    2. Engineering104.7%
  2. Everything else8640.5%
    1. Medicine62.9%
  1. 1Artificial Intelligence22% of their works
  2. 2Information Systems13% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Taher M. Ghazal's research?

The keywords of their largest research topics: Healthcare, Machine Learning, Internet of Things, Smart Cities, Deep Learning, Supply Chain Management, Security and IoT Security.

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 29 words, with their numbers
  1. Healthcare1205 topics
  2. Machine Learning805 topics
  3. Internet of Things773 topics
  4. Smart Cities703 topics
  5. Deep Learning634 topics
  6. Supply Chain Management632 topics
  7. Security482 topics
  8. IoT Security412 topics
  9. Blockchain351 topic
  10. Smart Contracts351 topic
  11. Edge Computing291 topic
  12. Fog Computing291 topic
  13. Big Data Analytics282 topics
  14. Digital Transformation281 topic
  15. IoT281 topic
  16. Data Mining272 topics
  17. Cybersecurity252 topics
  18. Artificial Intelligence232 topics
  19. Convolutional Neural Networks222 topics
  20. Classification Models151 topic
  21. Medical Diagnosis151 topic
  22. Cloud Computing131 topic
  23. Wireless Sensor Networks131 topic
  24. Histopathology Images121 topic
  25. Intrusion Detection121 topic
  26. Medical Image Analysis121 topic
  27. Network Security121 topic
  28. COVID-19101 topic
  29. Medical Imaging101 topic

Where does Taher M. Ghazal work?

Taher M. Ghazal's main affiliation in the publication record is National University of Malaysia, Malaysia.

How many publications and citations does Taher M. Ghazal have?

OpenAlex counts 213 works and 12,985 citations for Taher M. Ghazal, an h-index of 64, ranking #753 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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