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Researcher · Multimedia University · Malaysia

Fahmid Al Farid

Fahmid Al Farid publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Anomaly Detection Techniques and Applications, Video Surveillance and Tracking Methods and Context-Aware Activity Recognition Systems.

ORCID 0000-0003-2625-2348 OpenAlex
World rank
#307,892
of 7,710,434 ranked researchers
Rank in Malaysia
#872
of 41,196
Works
105
Citations
1.1k
Citations per work
10.4
h-index
18
i10-index 34Top 17% in Computer Vision and Pattern Recognition
Fahmid Al Farid

What does Fahmid Al Farid research?

Fahmid Al Farid's work is mostly in Computer Science (30%), Engineering (11%), Agricultural and Biological Sciences (5%).

Everything else: 57 works · 54.0% of their workPhysical Sciences: 43 works · 40.9% of their workComputer Science: 32 works · 30.3% of their workComputer Vision and Pattern Recognition: 16 works · 15.0% of their workArtificial Intelligence: 11 works · 10.6% of their workComputer Networks and Communications: 5 works · 4.7% of their workEngineering: 11 works · 10.6% of their workElectrical and Electronic Engineering: 7 works · 6.2% of their workControl and Systems Engineering: 5 works · 4.4% of their workLife Sciences: 5 works · 5.1% of their workAgricultural and Biological Sciences: 5 works · 5.1% of their workPlant Science: 5 works · 5.1% of their workTHEIR WORKFahmid Al Farid105works
Life Sciences5%Physical Sciences41%

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 else5754.0%
    1. Computer Science3230.3%
    2. Engineering1110.6%
    1. Agricultural and Biological Sciences55.1%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Electrical and Electronic Engineering6% of their works
  4. 4Plant Science5% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Fahmid Al Farid's research?

The keywords of their largest research topics: Deep Learning, Anomaly Detection, Convolutional Neural Networks, Image Processing, Outlier Detection, Unsupervised, Machine Learning and Object Tracking.

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 Learning607 topics
  2. Anomaly Detection202 topics
  3. Convolutional Neural Networks202 topics
  4. Image Processing162 topics
  5. Outlier Detection151 topic
  6. Unsupervised151 topic
  7. Machine Learning122 topics
  8. Object Tracking111 topic
  9. Visual Tracking111 topic
  10. Activity Recognition91 topic
  11. Computer Vision91 topic
  12. Fire Detection91 topic
  13. Pervasive Computing91 topic
  14. Action Recognition71 topic
  15. Plant Disease Detection71 topic
  16. Pose Estimation71 topic
  17. Smart Farming71 topic
  18. Gait Recognition61 topic
  19. Human Identification61 topic
  20. Intrusion Detection51 topic
  21. Network Security51 topic

Where does Fahmid Al Farid work?

Fahmid Al Farid's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Fahmid Al Farid have?

OpenAlex counts 105 works and 1,092 citations for Fahmid Al Farid, an h-index of 18, ranking #307,892 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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