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Researcher · Charles Darwin University · Australia

Sami Azam

Sami Azam publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Advanced Malware Detection Techniques.

ORCID 0000-0001-7572-9750 OpenAlex
World rank
#38,234
of 7,710,434 ranked researchers
Rank in Australia
#1,125
of 140,210
Works
238
Citations
7.2k
Citations per work
30.4
h-index
45
i10-index 118Top 1.4% in Artificial Intelligence
Sami Azam

What does Sami Azam research?

Sami Azam's work is mostly in Computer Science (37%), Medicine (11%).

Everything else: 123 works · 51.5% of their workPhysical Sciences: 88 works · 37.1% of their workComputer Science: 88 works · 37.1% of their workArtificial Intelligence: 33 works · 13.7% of their workInformation Systems: 24 works · 10.0% of their workComputer Vision and Pattern Recognition: 18 works · 7.6% of their workComputer Networks and Communications: 14 works · 5.8% of their workHealth Sciences: 27 works · 11.4% of their workMedicine: 27 works · 11.4% of their workRadiology, Nuclear Medicine and Imaging: 17 works · 7.2% of their workPulmonary and Respiratory Medicine: 10 works · 4.2% of their workTHEIR WORKSami Azam238works
Physical Sciences37%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. Everything else12351.5%
    1. Computer Science8837.1%
    1. Medicine2711.4%
  1. 1Artificial Intelligence14% of their works
  2. 2Information Systems10% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Pulmonary and Respiratory Medicine4% of their works

Research topics

Which keywords describe Sami Azam's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Healthcare, Medical Imaging, IoT Security, Data Mining and Behavioral Analysis.

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.

All 24 words, with their numbers
  1. Machine Learning1166 topics
  2. Deep Learning784 topics
  3. Convolutional Neural Networks432 topics
  4. Healthcare362 topics
  5. Medical Imaging362 topics
  6. IoT Security352 topics
  7. Data Mining342 topics
  8. Behavioral Analysis332 topics
  9. Histopathology Images281 topic
  10. Medical Image Analysis281 topic
  11. Quantitative Analysis211 topic
  12. Radiomics211 topic
  13. Android Malware191 topic
  14. Detection191 topic
  15. Big Data Analytics181 topic
  16. Blockchain181 topic
  17. Internet of Things181 topic
  18. Medical Diagnosis181 topic
  19. Intrusion Detection161 topic
  20. Network Security161 topic
  21. COVID-19151 topic
  22. Chest X-Ray151 topic
  23. Phishing141 topic
  24. Spam Detection141 topic

Where does Sami Azam work?

Sami Azam's main affiliation in the publication record is Charles Darwin University, Australia.

How many publications and citations does Sami Azam have?

OpenAlex counts 238 works and 7,227 citations for Sami Azam, an h-index of 45, ranking #38,234 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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