Mohamed Abdalla
- Artificial Intelligence top 5%
- Health Informatics top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Serena JebleeChristopher MeaneyChloé Pou-PromFrank RudziczGraeme HirstMoustafa AbdallaBenjamin FineAmy X. Lu
- Topics
- Topic Modeling (7 papers)Machine Learning in Healthcare (6 papers)Artificial Intelligence in Healthcare and Education (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Mohamed Abdalla
28 papers receiving 456 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 244
- Health Informatics 77
- Molecular Biology 61
- Radiology, Nuclear Medicine and Imaging 60
- Biomedical Engineering 39
Countries citing papers authored by Mohamed Abdalla
This map shows the geographic impact of Mohamed Abdalla'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 Mohamed Abdalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Abdalla more than expected).
Fields of papers citing papers by Mohamed Abdalla
This network shows the impact of papers produced by Mohamed Abdalla. 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 Mohamed Abdalla. The network helps show where Mohamed Abdalla may publish in the future.
Co-authorship network of co-authors of Mohamed Abdalla
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Abdalla. A scholar is included among the top collaborators of Mohamed Abdalla 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 Mohamed Abdalla. Mohamed Abdalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 25 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 142 | |
| 19 | Cross-Lingual Sentiment Analysis Without (Good) Translation | 11 |
| 20 | 10 |
About Mohamed Abdalla
Mohamed Abdalla is a scholar working on Health Informatics, Family Practice and Gender Studies, having authored 29 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Machine Learning in Healthcare (6 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (77 citations), Artificial Intelligence (244 citations) and Health Information Management (27 citations). Mohamed Abdalla has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Serena Jeblee, Christopher Meaney, Chloé Pou-Prom, Frank Rudzicz, Graeme Hirst, Moustafa Abdalla, Benjamin Fine, Amy X. Lu, Matthew B. A. McDermott and Marzyeh Ghassemi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.