Munawar Hayat
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.1%
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 10%
- Co-authors
- Fahad Shahbaz KhanSyed Waqas ZamirMing–Hsuan YangAditya AroraSalman KhanLing ShaoMohammed BennamounFahad Shamshad
- Topics
- Face recognition and analysis (13 papers)Face and Expression Recognition (11 papers)Domain Adaptation and Few-Shot Learning (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- AustraliaUnited Arab EmiratesUnited States
In The Last Decade
Munawar Hayat
62 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Vision and Pattern Recognition 4.3k
- Media Technology 1.7k
- Artificial Intelligence 1.1k
- Radiology, Nuclear Medicine and Imaging 539
- Biomedical Engineering 426
Countries citing papers authored by Munawar Hayat
This map shows the geographic impact of Munawar Hayat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Munawar Hayat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munawar Hayat more than expected).
Fields of papers citing papers by Munawar Hayat
This network shows the impact of papers produced by Munawar Hayat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Munawar Hayat. The network helps show where Munawar Hayat may publish in the future.
Co-authorship network of co-authors of Munawar Hayat
This figure shows the co-authorship network connecting the top 25 collaborators of Munawar Hayat. A scholar is included among the top collaborators of Munawar Hayat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Munawar Hayat. Munawar Hayat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | Transformers in medical imaging: A surveybreakdown → | 600 |
| 8 | 0 | |
| 9 | 77 | |
| 10 | 2 | |
| 11 | Learning Enriched Features for Fast Image Restoration and Enhancementbreakdown → | 273 |
| 12 | Multi-Stage Progressive Image Restorationbreakdown → | 1173 |
| 13 | Intriguing Properties of Vision Transformers | 1 |
| 14 | 211 | |
| 15 | Random Path Selection for Incremental Learning | 15 |
| 16 | Random Path Selection for Continual Learning | 41 |
| 17 | 51 | |
| 18 | 29 | |
| 19 | 82 | |
| 20 | Fully Automatic Face Recognition from 3D Videos | 5 |
About Munawar Hayat
Munawar Hayat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 66 papers that have together received 5.8k indexed citations. Recurring topics across this work include Face recognition and analysis (13 papers), Face and Expression Recognition (11 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Media Technology (1.7k citations) and Artificial Intelligence (1.1k citations). Munawar Hayat has collaborated with scholars based in Australia, United Arab Emirates and United States. Frequent co-authors include Fahad Shahbaz Khan, Syed Waqas Zamir, Ming–Hsuan Yang, Aditya Arora, Salman Khan, Salman Khan, Ling Shao, Mohammed Bennamoun, Fahad Shamshad and Muhammad Haris Khan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.