Ali Sabri
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- COVID-19 diagnosis using AI 8
- Radiomics and Machine Learning in Medical Imaging 5
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- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Alexander Wong (5 shared papers)Hayden Gunraj (3 shared papers)Amer Alaref (4 shared papers)David Koff (1 shared paper)Arash Mahdavi (5 shared papers)Amir H. Davarpanah (4 shared papers)Morteza Sanei Taheri (5 shared papers)Shahram Kahkouee (2 shared papers)
- Journals
- Frontiers in Medicine (3 papers)European Radiology (1 paper)Journal of the American College of Radiology (1 paper)Polskie Archiwum Medycyny Wewnętrznej (2 papers)Frontiers in Artificial Intelligence (1 paper)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Ali Sabri
15 papers receiving 382 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 28
- Radiology, Nuclear Medicine and Imaging 225
- Infectious Diseases 68
- Artificial Intelligence 76
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Ali Sabri
This map shows the geographic impact of Ali Sabri'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 Ali Sabri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Sabri more than expected).
Fields of papers citing papers by Ali Sabri
This network shows the impact of papers produced by Ali Sabri. 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 Ali Sabri. The network helps show where Ali Sabri may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Sabri, 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 | 2020 | 67 | |
| 2 | 2020 | 58 | |
| 3 | 2022 | 51 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 28 | |
| 6 | 2016 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 5 | |
| 14 | Difficulties Encountered by Pre-Service Classroom Teachers in Constructing Stories about Line Graphs | 2012 | 5 |
| 15 | 2020 | 1 |
About Ali Sabri
Ali Sabri is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Oncology, Health Informatics and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 385 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 and healthcare impacts (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Clinical Research Studies (3 papers), Lung Cancer Treatments and Mutations (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Infectious Diseases (68 citations), Artificial Intelligence (76 citations) and Pulmonary and Respiratory Medicine (62 citations). Ali Sabri has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Alexander Wong, Hayden Gunraj, Amer Alaref, David Koff, Arash Mahdavi, Amir H. Davarpanah, Morteza Sanei Taheri, Shahram Kahkouee, Ali Mahdavi and Mehrdad Bakhshayesh Karam. Their work appears in journals such as Frontiers in Medicine, European Radiology, Journal of the American College of Radiology, Polskie Archiwum Medycyny Wewnętrznej and Frontiers in Artificial Intelligence.
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.