Shabbir Syed-Abdul
- General Health Professions top 2%
- Artificial Intelligence top 5%
- Public Health, Environmental and Occupational Health top 5%
- Sociology and Political Science top 5%
- Health Information Management top 0.5%
- Co-authors
- Yu‐Chuan LiWen‐Shan JianMd. Mohaimenul IslamUsman IqbalSuleman AtiqueMohy UddinTahmina Nasrin PolyShwetambara Malwade
- Topics
- Mobile Health and mHealth Applications (19 papers)Electronic Health Records Systems (11 papers)Machine Learning in Healthcare (8 papers)
- Partner nations
- TaiwanIndiaSaudi Arabia
In The Last Decade
Shabbir Syed-Abdul
114 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- General Health Professions 581
- Artificial Intelligence 345
- Public Health, Environmental and Occupational Health 328
- Sociology and Political Science 294
- Health Information Management 277
Countries citing papers authored by Shabbir Syed-Abdul
This map shows the geographic impact of Shabbir Syed-Abdul'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 Shabbir Syed-Abdul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabbir Syed-Abdul more than expected).
Fields of papers citing papers by Shabbir Syed-Abdul
This network shows the impact of papers produced by Shabbir Syed-Abdul. 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 Shabbir Syed-Abdul. The network helps show where Shabbir Syed-Abdul may publish in the future.
Co-authorship network of co-authors of Shabbir Syed-Abdul
This figure shows the co-authorship network connecting the top 25 collaborators of Shabbir Syed-Abdul. A scholar is included among the top collaborators of Shabbir Syed-Abdul 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 Shabbir Syed-Abdul. Shabbir Syed-Abdul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 15 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 27 | |
| 8 | 3 | |
| 9 | 66 | |
| 10 | 26 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | COVID-19 infodemic and digital health literacy in vulnerable populations: A scoping reviewbreakdown → | 111 |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | 24 | |
| 19 | 29 | |
| 20 | 35 |
About Shabbir Syed-Abdul
Shabbir Syed-Abdul is a scholar working on Health Informatics, Health Information Management and Family Practice, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (19 papers), Electronic Health Records Systems (11 papers) and Machine Learning in Healthcare (8 papers). The work is most often cited by research in Health Informatics (168 citations), Health Information Management (277 citations) and Health (204 citations). Shabbir Syed-Abdul has collaborated with scholars based in Taiwan, India and Saudi Arabia. Frequent co-authors include Yu‐Chuan Li, Wen‐Shan Jian, Md. Mohaimenul Islam, Usman Iqbal, Suleman Atique, Mohy Uddin, Tahmina Nasrin Poly, Shwetambara Malwade, Aldilas Achmad Nursetyo and Navneet Kumar Dubey. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.