Samer Albahra
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 2%
- Epidemiology
- Biomedical Engineering
- Co-authors
- Hooman H. RashidiNam K. TranBo HuLuke T. DangLarissa MayScott BainbridgeSarah WaldmanTina L. Palmieri
- Topics
- Artificial Intelligence in Healthcare and Education (6 papers)AI in cancer detection (4 papers)COVID-19 diagnosis using AI (4 papers)
- Partner nations
- United States
In The Last Decade
Samer Albahra
13 papers receiving 320 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 111
- Radiology, Nuclear Medicine and Imaging 79
- Health Informatics 74
- Epidemiology 50
- Biomedical Engineering 42
Countries citing papers authored by Samer Albahra
This map shows the geographic impact of Samer Albahra'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 Samer Albahra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samer Albahra more than expected).
Fields of papers citing papers by Samer Albahra
This network shows the impact of papers produced by Samer Albahra. 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 Samer Albahra. The network helps show where Samer Albahra may publish in the future.
Co-authorship network of co-authors of Samer Albahra
This figure shows the co-authorship network connecting the top 25 collaborators of Samer Albahra. A scholar is included among the top collaborators of Samer Albahra 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 Samer Albahra. Samer Albahra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 79 | |
| 6 | 26 | |
| 7 | 24 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 49 | |
| 14 | 48 | |
| 15 | 33 |
About Samer Albahra
Samer Albahra is a scholar working on Health Informatics, Health Information Management and Clinical Biochemistry, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (74 citations), Health Information Management (27 citations) and Family Practice (8 citations). Samer Albahra has collaborated with scholars based in United States. Frequent co-authors include Hooman H. Rashidi, Nam K. Tran, Bo Hu, Luke T. Dang, Larissa May, Scott Bainbridge, Sarah Waldman, Tina L. Palmieri, Tam N. Pham and David G. Greenhalgh. Their work appears in journals such as PLoS ONE, Scientific Reports and Clinical Chemistry.
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.