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Researcher · Information Technology University · Pakistan

Muhammad Faisal

Muhammad Faisal publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, on topics such as Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications and Explainable Artificial Intelligence (XAI).

ORCID 0000-0001-5254-4833 OpenAlex
World rank
#5,818,993
of 7,710,434 ranked researchers
Rank in Pakistan
#23,824
of 32,975
Works
17
Citations
70
Citations per work
4.1
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Muhammad Faisal

What does Muhammad Faisal research?

Muhammad Faisal's work is mostly in Computer Science (55%), Engineering (22%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 13 works · 76.2% of their workComputer Science: 9 works · 54.7% of their workComputer Vision and Pattern Recognition: 6 works · 35.7% of their workArtificial Intelligence: 2 works · 9.5% of their workComputer Networks and Communications: 2 works · 9.5% of their workEngineering: 4 works · 21.5% of their workElectrical and Electronic Engineering: 3 works · 16.7% of their workControl and Systems Engineering: 1 works · 4.8% of their workEverything else: 4 works · 21.4% of their workLife Sciences: 0 works · 2.4% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.4% of their workClinical Biochemistry: 0 works · 2.4% of their workTHEIR WORKMuhammad Faisal17works
Life Sciences2%Physical Sciences76%

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 Science954.7%
    2. Engineering421.5%
  2. Everything else421.4%
    1. Biochemistry, Genetics and Molecular Biology02.4%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Electrical and Electronic Engineering17% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Clinical Biochemistry2% of their works

Research topics

Which keywords describe Muhammad Faisal's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Feature Matching, Local Descriptors, Image Recognition, Object Detection, Face Recognition and Facial Landmark 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 Learning114 topics
  2. Convolutional Neural Networks73 topics
  3. Feature Matching41 topic
  4. Local Descriptors41 topic
  5. Image Recognition31 topic
  6. Object Detection31 topic
  7. Face Recognition21 topic
  8. Facial Landmark Detection21 topic
  9. Induction Motors21 topic
  10. Interpretable Models21 topic
  11. Machine Learning Interpretability21 topic
  12. Object Tracking21 topic
  13. Power Control21 topic
  14. Sensorless Control21 topic
  15. Visual Tracking21 topic
  16. Wireless Networks21 topic
  17. Advanced Glycation End Products11 topic
  18. HMGB111 topic

Where does Muhammad Faisal work?

Muhammad Faisal's main affiliation in the publication record is Information Technology University, Pakistan.

How many publications and citations does Muhammad Faisal have?

OpenAlex counts 17 works and 70 citations for Muhammad Faisal, an h-index of 5, ranking #5,818,993 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.

Other researchers named Muhammad Faisal

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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