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Researcher · King Saud University · Saudi Arabia

Farrukh Aslam Khan

Farrukh Aslam Khan publishes mostly in Computer Networks and Communications, Artificial Intelligence and Information Systems, on topics such as Network Security and Intrusion Detection, Advanced Malware Detection Techniques and Energy Efficient Wireless Sensor Networks.

ORCID 0000-0002-7023-7172 OpenAlex
World rank
#62,402
of 7,710,434 ranked researchers
Rank in Saudi Arabia
#216
of 25,688
Works
199
Citations
6.5k
Citations per work
32.7
h-index
45
i10-index 119Top 1.5% in Computer Networks and Communications
Farrukh Aslam Khan

What does Farrukh Aslam Khan research?

Farrukh Aslam Khan's work is mostly in Computer Science (53%), Engineering (8%), Medicine (6%).

Physical Sciences: 121 works · 60.7% of their workComputer Science: 105 works · 52.8% of their workComputer Networks and Communications: 53 works · 26.4% of their workArtificial Intelligence: 24 works · 12.2% of their workInformation Systems: 18 works · 9.1% of their workSignal Processing: 10 works · 5.1% of their workEngineering: 16 works · 7.9% of their workElectrical and Electronic Engineering: 16 works · 7.9% of their workEverything else: 66 works · 33.0% of their workHealth Sciences: 13 works · 6.3% of their workMedicine: 13 works · 6.3% of their workSurgery: 13 works · 6.3% of their workTHEIR WORKFarrukh AslamKhan199works
Physical Sciences61%Health Sciences6%

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 Science10552.8%
    2. Engineering167.9%
  2. Everything else6633.0%
    1. Medicine136.3%
  1. 1Computer Networks and Communications26% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Information Systems9% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Surgery6% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Farrukh Aslam Khan's research?

The keywords of their largest research topics: Deep Learning, IoT Security, Machine Learning, Intrusion Detection, DDoS Attacks, Network Security, Data Aggregation and 5G Networks.

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. Deep Learning853 topics
  2. IoT Security853 topics
  3. Machine Learning702 topics
  4. Intrusion Detection582 topics
  5. DDoS Attacks431 topic
  6. Network Security431 topic
  7. Data Aggregation322 topics
  8. 5G Networks272 topics
  9. Android Malware271 topic
  10. Detection271 topic
  11. Energy-Efficient Protocols171 topic
  12. Ischemia-Reperfusion Injury171 topic
  13. Liver Transplantation171 topic
  14. Wireless Sensor Networks171 topic
  15. Ad Hoc Networks151 topic
  16. Edge Computing151 topic
  17. Internet of Things151 topic
  18. Key Management151 topic
  19. Secure Routing151 topic
  20. Wireless Mesh Networks151 topic
  21. Network Virtualization121 topic
  22. Software-Defined Networking121 topic

Where does Farrukh Aslam Khan work?

Farrukh Aslam Khan's main affiliation in the publication record is King Saud University, Saudi Arabia.

How many publications and citations does Farrukh Aslam Khan have?

OpenAlex counts 199 works and 6,504 citations for Farrukh Aslam Khan, an h-index of 45, ranking #62,402 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

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