Science Explorer Back to mapMap
Discussion
Researcher · Universiti Brunei Darussalam · Brunei

Muhammad Muzamil Aslam

Muhammad Muzamil Aslam publishes mostly in Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence, on topics such as Smart Grid Security and Resilience, Network Security and Intrusion Detection and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-8711-2907 OpenAlex
World rank
#1,112,502
of 7,710,434 ranked researchers
Rank in Brunei
#97
of 484
Works
38
Citations
368
Citations per work
9.7
h-index
12
i10-index 12Top 34% in Computer Networks and Communications
Muhammad Muzamil Aslam

What does Muhammad Muzamil Aslam research?

Muhammad Muzamil Aslam's work is mostly in Computer Science (45%), Engineering (24%).

Physical Sciences: 27 works · 69.8% of their workComputer Science: 17 works · 45.3% of their workComputer Networks and Communications: 8 works · 21.7% of their workArtificial Intelligence: 5 works · 12.3% of their workSignal Processing: 3 works · 6.6% of their workInformation Systems: 2 works · 4.7% of their workEngineering: 9 works · 24.5% of their workControl and Systems Engineering: 6 works · 15.1% of their workElectrical and Electronic Engineering: 4 works · 9.4% of their workEverything else: 11 works · 30.2% of their workTHEIR WORKMuhammad MuzamilAslam38works
Physical Sciences70%

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 Science1745.3%
    2. Engineering924.5%
  2. Everything else1130.2%
  1. 1Computer Networks and Communications22% of their works
  2. 2Control and Systems Engineering15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Signal Processing7% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Muhammad Muzamil Aslam's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Privacy, Security, Anomaly Detection, IoT Security, Cyber-Physical Systems and Smart Grid.

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 22 words, with their numbers
  1. Machine Learning253 topics
  2. Deep Learning193 topics
  3. Privacy152 topics
  4. Security152 topics
  5. Anomaly Detection142 topics
  6. IoT Security132 topics
  7. Cyber-Physical Systems121 topic
  8. Smart Grid121 topic
  9. Intrusion Detection81 topic
  10. Network Security81 topic
  11. Outlier Detection61 topic
  12. Unsupervised61 topic
  13. Android Malware51 topic
  14. Cellular Networks51 topic
  15. Detection51 topic
  16. Massive MIMO51 topic
  17. Cognitive Radio41 topic
  18. Consensus41 topic
  19. Multi-Agent Systems41 topic
  20. Spectrum Sensing41 topic
  21. Blockchain31 topic
  22. Internet of Things31 topic

Where does Muhammad Muzamil Aslam work?

Muhammad Muzamil Aslam's main affiliation in the publication record is Universiti Brunei Darussalam, Brunei.

How many publications and citations does Muhammad Muzamil Aslam have?

OpenAlex counts 38 works and 368 citations for Muhammad Muzamil Aslam, an h-index of 12, ranking #1,112,502 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

Ask a question or share a note about Muhammad Muzamil Aslam. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.