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Researcher · Universiti Sains Malaysia · Malaysia

Mohammed Anbar

Mohammed Anbar publishes mostly in Computer Networks and Communications, Artificial Intelligence and Signal Processing, on topics such as Network Security and Intrusion Detection, Internet Traffic Analysis and Secure E-voting and Advanced Malware Detection Techniques.

ORCID 0000-0002-7026-6408 OpenAlex
World rank
#55,857
of 7,710,434 ranked researchers
Rank in Malaysia
#140
of 41,196
Works
197
Citations
6k
Citations per work
30.3
h-index
43
i10-index 126Top 1.7% in Computer Networks and Communications
Mohammed Anbar

What does Mohammed Anbar research?

Mohammed Anbar's work is mostly in Computer Science (79%), Engineering (9%).

Physical Sciences: 172 works · 87.4% of their workComputer Science: 155 works · 78.6% of their workComputer Networks and Communications: 76 works · 38.4% of their workArtificial Intelligence: 38 works · 19.4% of their workSignal Processing: 18 works · 9.3% of their workInformation Systems: 16 works · 7.9% of their workHardware and Architecture: 7 works · 3.6% of their workEngineering: 17 works · 8.8% of their workElectrical and Electronic Engineering: 17 works · 8.8% of their workEverything else: 25 works · 12.6% of their workTHEIR WORKMohammed Anbar197works
Physical Sciences87%

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 Science15578.6%
    2. Engineering178.8%
  2. Everything else2512.6%
  1. 1Computer Networks and Communications38% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Signal Processing9% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Information Systems8% of their works
  6. 6Hardware and Architecture4% of their works

Research topics

Which keywords describe Mohammed Anbar's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Intrusion Detection, DDoS Attacks, Network Security, Classification and Internet Traffic.

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 21 words, with their numbers
  1. Deep Learning2473 topics
  2. Machine Learning2473 topics
  3. IoT Security1702 topics
  4. Intrusion Detection1402 topics
  5. DDoS Attacks1191 topic
  6. Network Security1191 topic
  7. Classification771 topic
  8. Internet Traffic771 topic
  9. Security Analysis702 topics
  10. Android Malware511 topic
  11. Detection511 topic
  12. Deep Packet Inspection211 topic
  13. Network Virtualization211 topic
  14. Packet Classification211 topic
  15. Software-Defined Networking211 topic
  16. DSRC Standards191 topic
  17. Vehicular Ad Hoc Networks191 topic
  18. Handoff Decision Algorithms171 topic
  19. Mobility Support171 topic
  20. Authentication161 topic
  21. Key Exchange161 topic

Where does Mohammed Anbar work?

Mohammed Anbar's main affiliation in the publication record is Universiti Sains Malaysia, Malaysia.

How many publications and citations does Mohammed Anbar have?

OpenAlex counts 197 works and 5,973 citations for Mohammed Anbar, an h-index of 43, ranking #55,857 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.

Other researchers named Mohammed Anbar

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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