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Researcher · Mohamed bin Zayed University of Artificial Intelligence · United Arab Emirates

Muzammal Naseer

Muzammal Naseer publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-7663-7161 OpenAlex
World rank
#198,274
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#239
of 6,273
Works
124
Citations
2.7k
Citations per work
21.9
h-index
22
i10-index 33Top 11% in Computer Vision and Pattern Recognition
Muzammal Naseer

What does Muzammal Naseer research?

Muzammal Naseer's work is mostly in Computer Science (76%), Medicine (6%), Engineering (3%).

Physical Sciences: 98 works · 79.0% of their workComputer Science: 95 works · 76.3% of their workComputer Vision and Pattern Recognition: 51 works · 40.9% of their workArtificial Intelligence: 41 works · 32.7% of their workSignal Processing: 3 works · 2.7% of their workEngineering: 3 works · 2.7% of their workMedia Technology: 3 works · 2.7% of their workEverything else: 16 works · 13.1% of their workHealth Sciences: 7 works · 5.5% of their workMedicine: 7 works · 5.5% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 5.5% of their workLife Sciences: 3 works · 2.4% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 2.4% of their workMolecular Biology: 3 works · 2.4% of their workTHEIR WORKMuzammal Naseer124works
Life Sciences2%Physical Sciences79%Health Sciences6%

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 Science9576.3%
    2. Engineering32.7%
  2. Everything else1613.1%
    1. Medicine75.5%
    1. Biochemistry, Genetics and Molecular Biology32.4%
  1. 1Computer Vision and Pattern Recognition41% of their works
  2. 2Artificial Intelligence33% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Signal Processing3% of their works
  5. 5Media Technology3% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Muzammal Naseer's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Representation Learning, Unsupervised Learning, Image Captioning, Visual Question Answering and Convolutional Neural Networks.

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 Learning1387 topics
  2. Neural Networks884 topics
  3. Machine Learning422 topics
  4. Representation Learning392 topics
  5. Unsupervised Learning392 topics
  6. Image Captioning351 topic
  7. Visual Question Answering351 topic
  8. Convolutional Neural Networks332 topics
  9. Adversarial Examples311 topic
  10. Robustness311 topic
  11. Domain Adaptation281 topic
  12. Transfer Learning281 topic
  13. Image Recognition221 topic
  14. Object Detection221 topic
  15. Action Recognition171 topic
  16. Pose Estimation171 topic
  17. Anomaly Detection111 topic
  18. Generative Adversarial Networks111 topic
  19. Histopathology Images111 topic
  20. Image Synthesis111 topic
  21. Medical Image Analysis111 topic
  22. Unsupervised111 topic

Where does Muzammal Naseer work?

Muzammal Naseer's main affiliation in the publication record is Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates.

How many publications and citations does Muzammal Naseer have?

OpenAlex counts 124 works and 2,721 citations for Muzammal Naseer, an h-index of 22, ranking #198,274 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.

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