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Researcher · Naif Arab University for Security Sciences · Saudi Arabia

Muhammad Hamza Faheem

Muhammad Hamza Faheem publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications and Spam and Phishing Detection.

ORCID 0000-0002-1643-6728 OpenAlex
World rank
#1,396,341
of 7,710,434 ranked researchers
Rank in Saudi Arabia
#6,005
of 25,688
Works
15
Citations
511
Citations per work
34.1
h-index
5
i10-index 5Top 82% in Artificial Intelligence
Muhammad Hamza Faheem

What does Muhammad Hamza Faheem research?

Muhammad Hamza Faheem's work is mostly in Computer Science (73%), Social Sciences (7%).

Physical Sciences: 11 works · 73.3% of their workComputer Science: 11 works · 73.3% of their workArtificial Intelligence: 3 works · 22.2% of their workComputer Vision and Pattern Recognition: 2 works · 15.6% of their workInformation Systems: 2 works · 13.3% of their workComputer Networks and Communications: 2 works · 11.1% of their workSignal Processing: 2 works · 11.1% of their workEverything else: 3 works · 20.0% of their workSocial Sciences: 1 works · 6.7% of their workSocial Sciences: 1 works · 6.7% of their workSociology and Political Science: 1 works · 6.7% of their workTHEIR WORKMuhammad HamzaFaheem15works
Physical Sciences73%Social Sciences7%

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 Science1173.3%
  2. Everything else320.0%
    1. Social Sciences16.7%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Information Systems13% of their works
  4. 4Computer Networks and Communications11% of their works
  5. 5Signal Processing11% of their works
  6. 6Sociology and Political Science7% of their works

Research topics

Which keywords describe Muhammad Hamza Faheem's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, IoT Security, Behavioral Analysis, Intrusion Detection, Network Security and Android Malware.

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 22 words, with their numbers
  1. Deep Learning227 topics
  2. Machine Learning164 topics
  3. Anomaly Detection92 topics
  4. IoT Security92 topics
  5. Behavioral Analysis82 topics
  6. Intrusion Detection51 topic
  7. Network Security51 topic
  8. Android Malware41 topic
  9. Convolutional Neural Networks42 topics
  10. Detection41 topic
  11. Outlier Detection41 topic
  12. Phishing41 topic
  13. Spam Detection41 topic
  14. Unsupervised41 topic
  15. Classification31 topic
  16. Internet Traffic31 topic
  17. Digital Forensics21 topic
  18. Image Forgery Detection21 topic
  19. Image Recognition21 topic
  20. Object Detection21 topic
  21. Object Tracking21 topic
  22. Visual Tracking21 topic

Where does Muhammad Hamza Faheem work?

Muhammad Hamza Faheem's main affiliation in the publication record is Naif Arab University for Security Sciences, Saudi Arabia.

How many publications and citations does Muhammad Hamza Faheem have?

OpenAlex counts 15 works and 511 citations for Muhammad Hamza Faheem, an h-index of 5, ranking #1,396,341 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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