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Researcher · University of Technology Malaysia · Malaysia

Alif Ridzuan Khairuddin

Alif Ridzuan Khairuddin publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Crime Patterns and Interventions, Anomaly Detection Techniques and Applications and Data Analysis with R.

ORCID 0000-0001-5560-4539 OpenAlex
World rank
#2,600,831
of 7,710,434 ranked researchers
Rank in Malaysia
#10,818
of 41,196
Works
25
Citations
270
Citations per work
10.8
h-index
6
i10-index 2Top 74% in Artificial Intelligence
Alif Ridzuan Khairuddin

What does Alif Ridzuan Khairuddin research?

Alif Ridzuan Khairuddin's work is mostly in Computer Science (30%), Engineering (24%), Social Sciences (9%).

Physical Sciences: 13 works · 53.2% of their workComputer Science: 7 works · 29.7% of their workArtificial Intelligence: 5 works · 18.8% of their workComputer Vision and Pattern Recognition: 3 works · 10.9% of their workEngineering: 6 works · 23.5% of their workElectrical and Electronic Engineering: 4 works · 17.2% of their workAerospace Engineering: 2 works · 6.3% of their workEverything else: 8 works · 32.7% of their workSocial Sciences: 4 works · 14.1% of their workSocial Sciences: 2 works · 9.4% of their workSociology and Political Science: 2 works · 9.4% of their workPsychology: 1 works · 4.7% of their workExperimental and Cognitive Psychology: 1 works · 4.7% of their workTHEIR WORKAlif RidzuanKhairuddin25works
Physical Sciences53%Social Sciences14%

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 Science729.7%
    2. Engineering623.5%
  2. Everything else832.7%
    1. Social Sciences29.4%
    2. Psychology14.7%
  1. 1Artificial Intelligence19% of their works
  2. 2Electrical and Electronic Engineering17% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Sociology and Political Science9% of their works
  5. 5Aerospace Engineering6% of their works
  6. 6Experimental and Cognitive Psychology5% of their works

Research topics

Which keywords describe Alif Ridzuan Khairuddin's research?

The keywords of their largest research topics: Deep Learning, Crime, Social Structure, Anomaly Detection, Unsupervised, 3D Mapping, Emotion Recognition and Multimodal Data.

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 17 words, with their numbers
  1. Deep Learning103 topics
  2. Crime61 topic
  3. Social Structure61 topic
  4. Anomaly Detection51 topic
  5. Unsupervised51 topic
  6. 3D Mapping31 topic
  7. Emotion Recognition31 topic
  8. Multimodal Data31 topic
  9. Optimal Motion Planning31 topic
  10. Phasor Measurement Units31 topic
  11. Power System Stability31 topic
  12. R language31 topic
  13. SLAM31 topic
  14. Sampling-Based Algorithms31 topic
  15. Statistical Analysis31 topic
  16. Feature Matching21 topic
  17. Local Descriptors21 topic

Where does Alif Ridzuan Khairuddin work?

Alif Ridzuan Khairuddin's main affiliation in the publication record is University of Technology Malaysia, Malaysia.

How many publications and citations does Alif Ridzuan Khairuddin have?

OpenAlex counts 25 works and 270 citations for Alif Ridzuan Khairuddin, an h-index of 6, ranking #2,600,831 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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