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Researcher · Multimedia University · Malaysia

Khairil Imran Ghauth

Khairil Imran Ghauth publishes mostly in Artificial Intelligence, Information Systems and Computer Science Applications, on topics such as Recommender Systems and Techniques, Intelligent Tutoring Systems and Adaptive Learning and Spam and Phishing Detection.

ORCID 0000-0001-7691-0914 OpenAlex
World rank
#927,142
of 7,710,434 ranked researchers
Rank in Malaysia
#3,152
of 41,196
Works
42
Citations
574
Citations per work
13.7
h-index
11
i10-index 13Top 37% in Artificial Intelligence
Khairil Imran Ghauth

What does Khairil Imran Ghauth research?

Khairil Imran Ghauth's work is mostly in Computer Science (64%), Social Sciences (4%).

Physical Sciences: 27 works · 63.5% of their workComputer Science: 27 works · 63.5% of their workArtificial Intelligence: 11 works · 25.9% of their workInformation Systems: 9 works · 22.3% of their workComputer Science Applications: 2 works · 5.4% of their workComputer Vision and Pattern Recognition: 2 works · 5.4% of their workComputer Networks and Communications: 2 works · 4.5% of their workEverything else: 13 works · 32.0% of their workSocial Sciences: 2 works · 4.5% of their workSocial Sciences: 2 works · 4.5% of their workSociology and Political Science: 2 works · 4.5% of their workTHEIR WORKKhairil ImranGhauth42works
Physical Sciences64%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 Science2763.5%
  2. Everything else1332.0%
    1. Social Sciences24.5%
  1. 1Artificial Intelligence26% of their works
  2. 2Information Systems22% of their works
  3. 3Computer Science Applications5% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Khairil Imran Ghauth's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Collaborative Filtering, Matrix Factorization, Affective States, Intelligent Tutoring Systems, Phishing and Spam Detection.

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 Learning162 topics
  2. Machine Learning154 topics
  3. Collaborative Filtering121 topic
  4. Matrix Factorization121 topic
  5. Affective States51 topic
  6. Intelligent Tutoring Systems51 topic
  7. Phishing51 topic
  8. Spam Detection51 topic
  9. Histopathology Images41 topic
  10. Medical Image Analysis41 topic
  11. Web Crawling41 topic
  12. Web Data Extraction41 topic
  13. Artificial Intelligence31 topic
  14. Educational Data Mining31 topic
  15. Healthcare31 topic
  16. Learning Analytics31 topic
  17. Quantum Computation31 topic
  18. Quantum Information31 topic

Where does Khairil Imran Ghauth work?

Khairil Imran Ghauth's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Khairil Imran Ghauth have?

OpenAlex counts 42 works and 574 citations for Khairil Imran Ghauth, an h-index of 11, ranking #927,142 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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