Basil Mustafa
Impact in
- Health Informatics top 5%
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 4
- AI in cancer detection 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Xiaohua Zhai (2 shared papers)Lucas Beyer (2 shared papers)А. И. Колесников (1 shared paper)Xiao Wang (1 shared paper)Andreas Steiner (1 shared paper)Daniel Keysers (1 shared paper)Alexander Kolesnikov (1 shared paper)Shekoofeh Azizi (1 shared paper)
- Journals
- BioMedical Engineering OnLine (1 paper)South African Journal of Chemical Engineering (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- SwitzerlandUnited Arab EmiratesUnited States
In The Last Decade
Basil Mustafa
5 papers receiving 776 citations
Basil Mustafa's Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 32
- Computer Vision and Pattern Recognition 346
- Artificial Intelligence 393
- Radiology, Nuclear Medicine and Imaging 247
- Health Information Management 20
Countries citing papers authored by Basil Mustafa
This map shows the geographic impact of Basil Mustafa'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 Basil Mustafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basil Mustafa more than expected).
Fields of papers citing papers by Basil Mustafa
This network shows the impact of papers produced by Basil Mustafa. 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 Basil Mustafa. The network helps show where Basil Mustafa may publish in the future.
Co-authors
The 23 scholars most cited alongside Basil Mustafa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Big Self-Supervised Models Advance Medical Image Classification Hit paper breakdown → | 2021 | 336 |
| 2 | LiT: Zero-Shot Transfer with Locked-image text Tuning Hit paper breakdown → | 2022 | 207 |
| 3 | Sigmoid Loss for Language Image Pre-Training Hit paper breakdown → | 2023 | 173 |
| 4 | 2017 | 73 | |
| 5 | 2023 | 21 | |
| 6 | 2024 | 0 |
About Basil Mustafa
Basil Mustafa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Automotive Engineering and Process Chemistry and Technology, having authored 6 papers that have together received 810 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (2 papers), AI in cancer detection (1 paper), Speech and Audio Processing (1 paper), Odor and Emission Control Technologies (1 paper), Diabetic Foot Ulcer Assessment and Management (1 paper), Air Quality Monitoring and Forecasting (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Health Informatics (32 citations), Computer Vision and Pattern Recognition (346 citations), Artificial Intelligence (393 citations), Radiology, Nuclear Medicine and Imaging (247 citations) and Health Information Management (20 citations). Basil Mustafa has collaborated with scholars based in Switzerland, United Arab Emirates and United States. Frequent co-authors include Xiaohua Zhai, Lucas Beyer, А. И. Колесников, Xiao Wang, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Shekoofeh Azizi, Alan Karthikesalingam and Simon Kornblith. Their work appears in journals such as BioMedical Engineering OnLine, South African Journal of Chemical Engineering, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.