Asad Aali
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Clinical Reasoning and Diagnostic Skills
Papers in
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- Gaussian Processes and Bayesian Inference 1
- Topic Modeling 1
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- Advanced MRI Techniques and Applications 2
- Medical Imaging Techniques and Applications 1
- Co-authors
- Sergios Gatidis (2 shared papers)Jason Hom (3 shared papers)Akshay Chaudhari (2 shared papers)Dave Van Veen (2 shared papers)Eduardo Pontes Reis (2 shared papers)Christian Bluethgen (1 shared paper)Anuj Pareek (1 shared paper)John M. Pauly (1 shared paper)
- Journals
- Nature Medicine (1 paper)Journal of the American Medical Informatics Association (1 paper)Magnetic Resonance in Medicine (1 paper)PubMed (1 paper)Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Asad Aali
5 papers receiving 330 citations
Asad Aali's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 108
- Family Practice 12
- Health Information Management 14
- Artificial Intelligence 102
- Issues, ethics and legal aspects 3
Countries citing papers authored by Asad Aali
This map shows the geographic impact of Asad Aali'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 Asad Aali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asad Aali more than expected).
Fields of papers citing papers by Asad Aali
This network shows the impact of papers produced by Asad Aali. 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 Asad Aali. The network helps show where Asad Aali may publish in the future.
Co-authors
The 25 scholars most cited alongside Asad Aali, 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 | Adapted large language models can outperform medical experts in clinical text summarization Hit paper breakdown → | 2024 | 317 |
| 2 | 2024 | 14 | |
| 3 | 2023 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 |
About Asad Aali
Asad Aali is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Statistical and Nonlinear Physics and Computational Mechanics, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper), Advanced X-ray and CT Imaging (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Model Reduction and Neural Networks (1 paper), Medical Imaging Techniques and Applications (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (108 citations), Family Practice (12 citations), Health Information Management (14 citations), Artificial Intelligence (102 citations) and Issues, ethics and legal aspects (3 citations). Asad Aali has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Sergios Gatidis, Jason Hom, Akshay Chaudhari, Dave Van Veen, Eduardo Pontes Reis, Christian Bluethgen, Anuj Pareek, John M. Pauly, Jean-Benoit Delbrouck and Malgorzata Polacin. Their work appears in journals such as Nature Medicine, Journal of the American Medical Informatics Association, Magnetic Resonance in Medicine, PubMed and Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
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.