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Researcher · National Textile University · Pakistan

Muhammad Asif Habib

Muhammad Asif Habib publishes mostly in Computer Networks and Communications, Artificial Intelligence and Information Systems, on topics such as IoT and Edge/Fog Computing, Cryptography and Data Security and Technology Adoption and User Behaviour.

ORCID 0000-0002-2675-1975 OpenAlex
World rank
#574,866
of 7,710,434 ranked researchers
Rank in Pakistan
#1,692
of 32,975
Works
99
Citations
1.3k
Citations per work
12.8
h-index
18
i10-index 31Top 17% in Computer Networks and Communications
Muhammad Asif Habib

What does Muhammad Asif Habib research?

Muhammad Asif Habib's work is mostly in Computer Science (49%), Engineering (7%), Social Sciences (4%).

Physical Sciences: 55 works · 56.0% of their workComputer Science: 48 works · 48.6% of their workComputer Networks and Communications: 17 works · 17.6% of their workArtificial Intelligence: 14 works · 13.7% of their workInformation Systems: 9 works · 9.2% of their workComputer Vision and Pattern Recognition: 8 works · 8.1% of their workEngineering: 7 works · 7.4% of their workElectrical and Electronic Engineering: 7 works · 7.4% of their workEverything else: 40 works · 40.1% of their workSocial Sciences: 4 works · 3.9% of their workSocial Sciences: 4 works · 3.9% of their workSociology and Political Science: 4 works · 3.9% of their workTHEIR WORKMuhammad AsifHabib99works
Physical Sciences56%Social Sciences4%

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 Science4848.6%
    2. Engineering77.4%
  2. Everything else4040.1%
    1. Social Sciences43.9%
  1. 1Computer Networks and Communications18% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Information Systems9% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Electrical and Electronic Engineering7% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Muhammad Asif Habib's research?

The keywords of their largest research topics: Deep Learning, IoT Security, Healthcare, Internet of Things, Edge Computing, Fog Computing, Security and Homomorphic Encryption.

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 Learning253 topics
  2. IoT Security253 topics
  3. Healthcare212 topics
  4. Internet of Things212 topics
  5. Edge Computing151 topic
  6. Fog Computing151 topic
  7. Security132 topics
  8. Homomorphic Encryption101 topic
  9. Identity-Based Encryption101 topic
  10. Machine Learning102 topics
  11. Information Systems71 topic
  12. Reputation71 topic
  13. Technology Acceptance Model71 topic
  14. Trust71 topic
  15. Blockchain61 topic
  16. Smart Contracts61 topic
  17. Android Malware51 topic
  18. Detection51 topic
  19. Intrusion Detection51 topic
  20. Network Security51 topic
  21. Energy-Efficient Protocols41 topic
  22. Wireless Sensor Networks41 topic

Where does Muhammad Asif Habib work?

Muhammad Asif Habib's main affiliation in the publication record is National Textile University, Pakistan.

How many publications and citations does Muhammad Asif Habib have?

OpenAlex counts 99 works and 1,269 citations for Muhammad Asif Habib, an h-index of 18, ranking #574,866 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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