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Researcher · College of Applied Sciences, Nizwa · Oman

Abdul Hakim H. M. Mohamed

Abdul Hakim H. M. Mohamed publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management, on topics such as Technology Adoption and User Behaviour, Face recognition and analysis and Face and Expression Recognition.

ORCID 0000-0001-5879-5385 OpenAlex
World rank
#1,161,642
of 7,710,434 ranked researchers
Rank in Oman
#283
of 1,991
Works
30
Citations
554
Citations per work
18.5
h-index
11
i10-index 12Top 39% in Computer Vision and Pattern Recognition
Abdul Hakim H. M. Mohamed

What does Abdul Hakim H. M. Mohamed research?

Abdul Hakim H. M. Mohamed's work is mostly in Computer Science (34%), Decision Sciences (13%).

Everything else: 16 works · 53.2% of their workPhysical Sciences: 10 works · 34.1% of their workComputer Science: 10 works · 34.1% of their workComputer Vision and Pattern Recognition: 3 works · 11.4% of their workComputer Networks and Communications: 3 works · 10.1% of their workArtificial Intelligence: 2 works · 6.3% of their workInformation Systems: 2 works · 6.3% of their workSocial Sciences: 4 works · 12.7% of their workDecision Sciences: 4 works · 12.7% of their workInformation Systems and Management: 3 works · 8.9% of their workManagement Science and Operations Research: 1 works · 3.8% of their workTHEIR WORKAbdul Hakim H. M.Mohamed30works
Physical Sciences34%Social Sciences13%

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. Everything else1653.2%
    1. Computer Science1034.1%
    1. Decision Sciences412.7%
  1. 1Computer Vision and Pattern Recognition11% of their works
  2. 2Computer Networks and Communications10% of their works
  3. 3Information Systems and Management9% of their works
  4. 4Information Systems6% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Abdul Hakim H. M. Mohamed's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Information Systems, Technology Acceptance Model, Age Estimation, Facial Landmark Detection, IoT Security and Machine Learning.

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 21 words, with their numbers
  1. Deep Learning83 topics
  2. Face Recognition72 topics
  3. Information Systems61 topic
  4. Technology Acceptance Model61 topic
  5. Age Estimation41 topic
  6. Facial Landmark Detection41 topic
  7. IoT Security42 topics
  8. Machine Learning42 topics
  9. Smart Cities42 topics
  10. Dimensionality Reduction31 topic
  11. Electronic Word-of-Mouth31 topic
  12. Feature Selection31 topic
  13. Mobile Health31 topic
  14. Social Media31 topic
  15. mHealth31 topic
  16. Digital Transformation21 topic
  17. Edge Computing21 topic
  18. Internet of Things21 topic
  19. Intrusion Detection21 topic
  20. IoT21 topic
  21. Network Security21 topic

Where does Abdul Hakim H. M. Mohamed work?

Abdul Hakim H. M. Mohamed's main affiliation in the publication record is College of Applied Sciences, Nizwa, Oman.

How many publications and citations does Abdul Hakim H. M. Mohamed have?

OpenAlex counts 30 works and 554 citations for Abdul Hakim H. M. Mohamed, an h-index of 11, ranking #1,161,642 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.

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