Fahad Shamshad
Fahad Shamshad publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning and Image and Signal Denoising Methods.
- World rank
- #1,694,511 of 7,710,434 ranked researchers
- Rank in Pakistan
- #5,429 of 32,975
- Works
- 59
- Citations
- 1.8k
- Citations per work
- 31.0
What does Fahad Shamshad research?
Fahad Shamshad's work is mostly in Computer Science (71%), Medicine (6%), Engineering (4%).
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
- Physical Sciences4678.4%
- Computer Science4270.8%
- Engineering24.1%
- Physics and Astronomy23.5%
- Everything else915.8%
- Health Sciences35.8%
- Medicine35.8%
- 1Computer Vision and Pattern Recognition39% of their works
- 2Artificial Intelligence25% of their works
- 3Signal Processing8% of their works
- 4Radiology, Nuclear Medicine and Imaging6% of their works
- 5Computational Mechanics4% of their works
- 6Radiation4% of their works
Research topics
- Generative Adversarial Networks and Image Synthesis
- Adversarial Robustness in Machine Learning
- Image and Signal Denoising Methods
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Image Processing Techniques
- Face recognition and analysis
- Advanced X-ray Imaging Techniques
Which keywords describe Fahad Shamshad's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Generative Adversarial Networks, Unsupervised Learning, Convolutional Neural Networks, Image Inpainting, Image Synthesis and Adversarial Examples.
- Phase Retrieval
- Face Recognition
- Super-Resolution
- Domain Adaptation
- Sparse Representations
- Image Captioning
- Adversarial Examples
- Image Inpainting
- Unsupervised Learning
- Neural Networks
- Deep Learning
- Generative Adversarial Networks
- Convolutional Neural Networks
- Image Synthesis
- Robustness
- Image Denoising
- Visual Question Answering
- Image
- Transfer Learning
- Facial Landmark Detection
- X-ray Imaging
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
- Deep Learning526 topics
- Neural Networks374 topics
- Generative Adversarial Networks182 topics
- Unsupervised Learning182 topics
- Convolutional Neural Networks152 topics
- Image Inpainting111 topic
- Image Synthesis111 topic
- Adversarial Examples101 topic
- Robustness101 topic
- Image Captioning91 topic
- Image Denoising91 topic
- Sparse Representations91 topic
- Visual Question Answering91 topic
- Domain Adaptation71 topic
- Image71 topic
- Super-Resolution71 topic
- Transfer Learning71 topic
- Face Recognition61 topic
- Facial Landmark Detection61 topic
- Phase Retrieval61 topic
- X-ray Imaging61 topic
Where does Fahad Shamshad work?
Fahad Shamshad's main affiliation in the publication record is Information Technology University, Pakistan.
How many publications and citations does Fahad Shamshad have?
OpenAlex counts 59 works and 1,829 citations for Fahad Shamshad, an h-index of 14, ranking #1,694,511 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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