Ali Sabri
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Infectious Diseases
- Oncology
- Co-authors
- Alexander WongHayden GunrajDavid KoffAmer AlarefArash MahdaviAmir H. DavarpanahMorteza Sanei TaheriSara Haseli
- Topics
- COVID-19 diagnosis using AI (10 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 and healthcare impacts (4 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Ali Sabri
15 papers receiving 374 citations
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 265
- Pulmonary and Respiratory Medicine 99
- Artificial Intelligence 84
- Infectious Diseases 84
- Oncology 72
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-authorship network of co-authors of Ali Sabri
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Sabri. A scholar is included among the top collaborators of Ali Sabri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ali Sabri. Ali Sabri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 26 | |
| 4 | 25 | |
| 5 | 51 | |
| 6 | 27 | |
| 7 | 10 | |
| 8 | 58 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 65 | |
| 13 | 45 | |
| 14 | 28 | |
| 15 | Difficulties Encountered by Pre-Service Classroom Teachers in Constructing Stories about Line Graphs | 4 |
About Ali Sabri
Ali Sabri is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 378 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (265 citations) and Infectious Diseases (84 citations). Ali Sabri has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Alexander Wong, Hayden Gunraj, David Koff, Amer Alaref, Arash Mahdavi, Amir H. Davarpanah, Morteza Sanei Taheri, Sara Haseli, Shahram Kahkouee and Ali Mahdavi. Their work appears in journals such as European Radiology, Frontiers in Medicine and Journal of the American College of Radiology.
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.