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Researcher · Zarqa University · Jordan

Musab Iqtait

Musab Iqtait publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science, on topics such as Face recognition and analysis, Brain Tumor Detection and Classification and AI in cancer detection.

ORCID 0000-0003-2091-5657 OpenAlex
World rank
#3,017,260
of 7,710,434 ranked researchers
Rank in Jordan
#2,397
of 5,764
Works
21
Citations
127
Citations per work
6.0
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Musab Iqtait

What does Musab Iqtait research?

Musab Iqtait's work is mostly in Computer Science (44%), Neuroscience (12%), Agricultural and Biological Sciences (8%).

Physical Sciences: 9 works · 43.7% of their workComputer Science: 9 works · 43.7% of their workComputer Vision and Pattern Recognition: 7 works · 33.3% of their workArtificial Intelligence: 2 works · 10.4% of their workEverything else: 7 works · 31.3% of their workLife Sciences: 4 works · 20.8% of their workNeuroscience: 3 works · 12.5% of their workNeurology: 2 works · 8.3% of their workCognitive Neuroscience: 1 works · 4.2% of their workAgricultural and Biological Sciences: 2 works · 8.3% of their workPlant Science: 2 works · 8.3% of their workHealth Sciences: 1 works · 4.2% of their workMedicine: 1 works · 4.2% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.2% of their workTHEIR WORKMusab Iqtait21works
Life Sciences21%Physical Sciences44%Health 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 Science943.7%
  2. Everything else731.3%
    1. Neuroscience312.5%
    2. Agricultural and Biological Sciences28.3%
    1. Medicine14.2%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Plant Science8% of their works
  4. 4Neurology8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Musab Iqtait's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Face Recognition, Age Estimation, Facial Landmark Detection, Medical Imaging and Transfer 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 22 words, with their numbers
  1. Deep Learning196 topics
  2. Convolutional Neural Networks134 topics
  3. Machine Learning93 topics
  4. Face Recognition82 topics
  5. Age Estimation61 topic
  6. Facial Landmark Detection61 topic
  7. Medical Imaging62 topics
  8. Transfer Learning62 topics
  9. Brain Tumor41 topic
  10. MRI41 topic
  11. Histopathology Images31 topic
  12. Medical Image Analysis31 topic
  13. COVID-1921 topic
  14. Chest X-Ray21 topic
  15. Dimensionality Reduction21 topic
  16. Feature Selection21 topic
  17. Image Recognition21 topic
  18. Object Detection21 topic
  19. Plant Disease Detection21 topic
  20. Smart Farming21 topic
  21. Banana11 topic
  22. Genetics11 topic

Where does Musab Iqtait work?

Musab Iqtait's main affiliation in the publication record is Zarqa University, Jordan.

How many publications and citations does Musab Iqtait have?

OpenAlex counts 21 works and 127 citations for Musab Iqtait, an h-index of 5, ranking #3,017,260 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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