Basil Mustafa
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Health Informatics top 5%
Papers in
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- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Data Classification 1
- Anomaly Detection Techniques and Applications 1
-
- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Co-authors
- Xiaohua Zhai (3 shared papers)Lucas Beyer (3 shared papers)Alexander I. Kolesnikov (1 shared paper)Alexander Kolesnikov (1 shared paper)Xiao Wang (1 shared paper)Daniel Keysers (2 shared papers)Andreas Steiner (1 shared paper)Vivek Natarajan (2 shared papers)
- Journals
- BioMedical Engineering OnLine (1 paper)South African Journal of Chemical Engineering (1 paper)Medical Image Analysis (1 paper)Journal of Muslim Minority Affairs (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Basil Mustafa
12 papers receiving 1.3k citations
Basil Mustafa's Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 551
- Health Informatics 30
- Artificial Intelligence 540
- Radiology, Nuclear Medicine and Imaging 297
- Neurology 43
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 | 412 |
| 2 | Sigmoid Loss for Language Image Pre-Training Hit paper breakdown → | 2023 | 396 |
| 3 | LiT: Zero-Shot Transfer with Locked-image text Tuning Hit paper breakdown → | 2022 | 286 |
| 4 | 2017 | 84 | |
| 5 | 2018 | 61 | |
| 6 | 2023 | 33 | |
| 7 | 1999 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2001 | 4 | |
| 10 | Scalable Transfer Learning with Expert Models | 2021 | 2 |
| 11 | 2015 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2023 | 0 |
About Basil Mustafa
Basil Mustafa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Process Chemistry and Technology, Radiology, Nuclear Medicine and Imaging and Education, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers), Education and Islamic Studies (2 papers), Advanced Neural Network Applications (2 papers), Religious Education and Schools (2 papers), Machine Learning and Data Classification (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (551 citations), Health Informatics (30 citations), Artificial Intelligence (540 citations), Radiology, Nuclear Medicine and Imaging (297 citations) and Neurology (43 citations). Basil Mustafa has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Xiaohua Zhai, Lucas Beyer, Alexander I. Kolesnikov, Alexander Kolesnikov, Xiao Wang, Daniel Keysers, Andreas Steiner, Vivek Natarajan, Jan Freyberg and Aaron Loh. Their work appears in journals such as BioMedical Engineering OnLine, South African Journal of Chemical Engineering, Medical Image Analysis, Journal of Muslim Minority Affairs and Lecture notes in computer science.
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.