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Researcher · Bahria University · Pakistan

Momina Moetesum

Momina Moetesum publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, on topics such as Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction and Face Recognition and Perception.

ORCID 0000-0001-9465-4678 OpenAlex
World rank
#4,339,076
of 7,710,434 ranked researchers
Rank in Pakistan
#16,545
of 32,975
Works
53
Citations
587
Citations per work
11.1
h-index
13
i10-index 15Top 30% in Computer Vision and Pattern Recognition
Momina Moetesum

What does Momina Moetesum research?

Momina Moetesum's work is mostly in Computer Science (55%), Neuroscience (8%), Medicine (4%).

Physical Sciences: 29 works · 55.0% of their workComputer Science: 29 works · 55.0% of their workComputer Vision and Pattern Recognition: 21 works · 40.0% of their workArtificial Intelligence: 6 works · 11.4% of their workSignal Processing: 2 works · 3.6% of their workEverything else: 16 works · 30.6% of their workLife Sciences: 4 works · 7.9% of their workNeuroscience: 4 works · 7.9% of their workCognitive Neuroscience: 4 works · 7.9% of their workHealth Sciences: 2 works · 3.6% of their workMedicine: 2 works · 3.6% of their workNeurology: 2 works · 3.6% of their workSocial Sciences: 2 works · 2.9% of their workPsychology: 2 works · 2.9% of their workApplied Psychology: 2 works · 2.9% of their workTHEIR WORKMomina Moetesum53works
Life Sciences8%Physical Sciences55%Health Sciences4%Social Sciences3%

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 Science2955.0%
  2. Everything else1630.6%
    1. Neuroscience47.9%
    1. Medicine23.6%
    1. Psychology22.9%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Cognitive Neuroscience8% of their works
  4. 4Signal Processing4% of their works
  5. 5Neurology4% of their works
  6. 6Applied Psychology3% of their works

Research topics

Which keywords describe Momina Moetesum's research?

The keywords of their largest research topics: Convolutional Neural Networks, Neural Networks, Handwriting Recognition, Text Detection, Deep Learning, Fragmented Objects, Reconstruction and a-Synuclein.

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 19 words, with their numbers
  1. Convolutional Neural Networks242 topics
  2. Neural Networks242 topics
  3. Handwriting Recognition201 topic
  4. Text Detection201 topic
  5. Deep Learning123 topics
  6. Fragmented Objects61 topic
  7. Reconstruction61 topic
  8. Digital Forensics41 topic
  9. Face Perception41 topic
  10. Generative Adversarial Networks41 topic
  11. Image Forgery Detection41 topic
  12. Image Recognition41 topic
  13. Image Synthesis41 topic
  14. Neural Mechanisms41 topic
  15. Object Detection41 topic
  16. Parkinson's Disease41 topic
  17. Psychological Testing41 topic
  18. Rorschach Comprehensive System41 topic
  19. a-Synuclein41 topic

Where does Momina Moetesum work?

Momina Moetesum's main affiliation in the publication record is Bahria University, Pakistan.

How many publications and citations does Momina Moetesum have?

OpenAlex counts 53 works and 587 citations for Momina Moetesum, an h-index of 13, ranking #4,339,076 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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