Science Explorer Back to mapMap
Discussion
Researcher · Zayed University · United Arab Emirates

Faouzi Kamoun

Faouzi Kamoun publishes mostly in Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, on topics such as Network Traffic and Congestion Control, Advanced Queuing Theory Analysis and Digital and Cyber Forensics.

ORCID 0000-0002-3740-1452 OpenAlex
World rank
#602,653
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#739
of 6,273
Works
90
Citations
1.5k
Citations per work
16.9
h-index
22
i10-index 36Top 3.6% in Information Systems
Faouzi Kamoun

What does Faouzi Kamoun research?

Faouzi Kamoun's work is mostly in Computer Science (37%), Engineering (9%), Business, Management and Accounting (8%).

Physical Sciences: 42 works · 46.5% of their workComputer Science: 33 works · 37.2% of their workInformation Systems: 14 works · 15.4% of their workComputer Networks and Communications: 13 works · 14.2% of their workSignal Processing: 4 works · 4.0% of their workArtificial Intelligence: 3 works · 3.6% of their workEngineering: 8 works · 9.3% of their workElectrical and Electronic Engineering: 8 works · 9.3% of their workEverything else: 40 works · 45.0% of their workSocial Sciences: 8 works · 8.5% of their workBusiness, Management and Accounting: 8 works · 8.5% of their workManagement Information Systems: 8 works · 8.5% of their workTHEIR WORKFaouzi Kamoun90works
Physical Sciences46%Social Sciences8%

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 Science3337.2%
    2. Engineering89.3%
  2. Everything else4045.0%
    1. Business, Management and Accounting88.5%
  1. 1Information Systems15% of their works
  2. 2Computer Networks and Communications14% of their works
  3. 3Electrical and Electronic Engineering9% of their works
  4. 4Management Information Systems8% of their works
  5. 5Signal Processing4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Faouzi Kamoun's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Congestion Control, TCP, Call Center, Queueing Systems, Digital Forensics and Internet of Things.

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 18 words, with their numbers
  1. Deep Learning142 topics
  2. Machine Learning142 topics
  3. Congestion Control121 topic
  4. TCP121 topic
  5. Call Center111 topic
  6. Queueing Systems111 topic
  7. Digital Forensics101 topic
  8. Internet of Things101 topic
  9. Android Malware91 topic
  10. Detection91 topic
  11. Information Security81 topic
  12. Policy Compliance81 topic
  13. E-Government61 topic
  14. Transparency61 topic
  15. Autonomous Vehicles51 topic
  16. Elastic Optical Networks51 topic
  17. Optical Networks51 topic
  18. Trajectory Prediction51 topic

Where does Faouzi Kamoun work?

Faouzi Kamoun's main affiliation in the publication record is Zayed University, United Arab Emirates.

How many publications and citations does Faouzi Kamoun have?

OpenAlex counts 90 works and 1,525 citations for Faouzi Kamoun, an h-index of 22, ranking #602,653 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 Faouzi Kamoun. 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.