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
-
- Domain Adaptation and Few-Shot Learning 4
- AI in cancer detection 1
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- Multimodal Machine Learning Applications 2
- Co-authors
- Lucas Beyer (2 shared papers)Xiaohua Zhai (2 shared papers)А. И. Колесников (1 shared paper)Alexander Kolesnikov (1 shared paper)Xiao Wang (1 shared paper)Daniel Keysers (1 shared paper)Andreas Steiner (2 shared papers)Vivek Natarajan (1 shared paper)
- Journals
- South African Journal of Chemical Engineering (1 paper)Journal of Muslim Minority Affairs (1 paper)BioMedical Engineering OnLine (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Westminster Studies in Education (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Basil Mustafa
9 papers receiving 861 citations
Basil Mustafa's Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 29
- Computer Vision and Pattern Recognition 361
- Artificial Intelligence 395
- Radiology, Nuclear Medicine and Imaging 237
- Biophysics 24
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 25 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 | 347 |
| 2 | LiT: Zero-Shot Transfer with Locked-image text Tuning Hit paper breakdown → | 2022 | 221 |
| 3 | Sigmoid Loss for Language Image Pre-Training Hit paper breakdown → | 2023 | 216 |
| 4 | 2017 | 73 | |
| 5 | 2023 | 23 | |
| 6 | 1999 | 10 | |
| 7 | 2001 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 |
About Basil Mustafa
Basil Mustafa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Education, Automotive Engineering and Sociology and Political Science, having authored 11 papers that have together received 896 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (2 papers), Religious Education and Schools (2 papers), Education and Islamic Studies (2 papers), Vehicle emissions and performance (1 paper), Religion, Society, and Development (1 paper), AI in cancer detection (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Health Informatics (29 citations), Computer Vision and Pattern Recognition (361 citations), Artificial Intelligence (395 citations), Radiology, Nuclear Medicine and Imaging (237 citations) and Biophysics (24 citations). Basil Mustafa has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Lucas Beyer, Xiaohua Zhai, А. И. Колесников, Alexander Kolesnikov, Xiao Wang, Daniel Keysers, Andreas Steiner, Vivek Natarajan, Simon Kornblith and Shekoofeh Azizi. Their work appears in journals such as South African Journal of Chemical Engineering, Journal of Muslim Minority Affairs, BioMedical Engineering OnLine, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Westminster Studies in Education.
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.