Bashar Zaidat
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Artificial Intelligence in Healthcare and Education 10
- Surgery 9
- Shoulder Injury and Treatment 3
- Cervical and Thoracic Myelopathy 3
- Co-authors
- Samuel K. Cho (23 shared papers)Jun Kim (22 shared papers)Justin E. Tang (12 shared papers)Rami Rajjoub (9 shared papers)Akiro H. Duey (17 shared papers)Eric Geng (7 shared papers)Ivan Zapolsky (4 shared papers)Jonathan Markowitz (5 shared papers)
- Journals
- Global Spine Journal (5 papers)The Spine Journal (3 papers)Neurospine (3 papers)Arthroscopy The Journal of Arthroscopic and Related Surgery (2 papers)Asian Spine Journal (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Bashar Zaidat
28 papers receiving 362 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 193
- Family Practice 9
- Internal Medicine 12
- Neurology 24
- Surgery 64
Countries citing papers authored by Bashar Zaidat
This map shows the geographic impact of Bashar Zaidat'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 Bashar Zaidat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bashar Zaidat more than expected).
Fields of papers citing papers by Bashar Zaidat
This network shows the impact of papers produced by Bashar Zaidat. 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 Bashar Zaidat. The network helps show where Bashar Zaidat may publish in the future.
Co-authors
The 25 scholars most cited alongside Bashar Zaidat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 51 | |
| 2 | 2023 | 49 | |
| 3 | 2024 | 31 | |
| 4 | 2024 | 30 | |
| 5 | 2022 | 24 | |
| 6 | 2024 | 22 | |
| 7 | 2023 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 16 | |
| 11 | 2024 | 14 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Bashar Zaidat
Bashar Zaidat is a scholar working on Health Informatics, Surgery, Public Health, Environmental and Occupational Health, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 365 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (10 papers), Digital Imaging in Medicine (3 papers), Shoulder Injury and Treatment (3 papers), Cervical and Thoracic Myelopathy (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Health Informatics (193 citations), Family Practice (9 citations), Internal Medicine (12 citations), Neurology (24 citations) and Surgery (64 citations). Bashar Zaidat has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Samuel K. Cho, Jun Kim, Justin E. Tang, Rami Rajjoub, Akiro H. Duey, Eric Geng, Ivan Zapolsky, Jonathan Markowitz, Ula Isleem and Jonathan S. Gal. Their work appears in journals such as Global Spine Journal, The Spine Journal, Neurospine, Arthroscopy The Journal of Arthroscopic and Related Surgery and Asian Spine Journal.
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.