Samir Abdelrahman
- Artificial Intelligence top 5%
- Epidemiology
- Molecular Biology
- Health Information Management top 5%
- General Health Professions
- Co-authors
- Kensaku KawamotoMohammad Amin MoridAly FahmyWilliam SchulerTim MillerLane SchwartzWendy W. ChapmanLee M. Christensen
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (13 papers)Machine Learning in Healthcare (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- United StatesEgyptFrance
In The Last Decade
Samir Abdelrahman
34 papers receiving 400 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 244
- Epidemiology 62
- Molecular Biology 49
- Health Information Management 48
- General Health Professions 43
Countries citing papers authored by Samir Abdelrahman
This map shows the geographic impact of Samir Abdelrahman'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 Samir Abdelrahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Abdelrahman more than expected).
Fields of papers citing papers by Samir Abdelrahman
This network shows the impact of papers produced by Samir Abdelrahman. 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 Samir Abdelrahman. The network helps show where Samir Abdelrahman may publish in the future.
Co-authorship network of co-authors of Samir Abdelrahman
This figure shows the co-authorship network connecting the top 25 collaborators of Samir Abdelrahman. A scholar is included among the top collaborators of Samir Abdelrahman 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 Samir Abdelrahman. Samir Abdelrahman 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 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction | 3 |
| 12 | Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation. | 50 |
| 13 | 16 | |
| 14 | Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task | 1 |
| 15 | A rule-based human interpretation system for semantic textual similarity task | 1 |
| 16 | 4 | |
| 17 | Estimating negotiation agreement zone using support vector machine with genetic algorithm | 0 |
| 18 | Towards KDE mining approach for multi-agent negotiation | 3 |
| 19 | 31 | |
| 20 | A Multiple-Domain Ontology Builder | 4 |
About Samir Abdelrahman
Samir Abdelrahman is a scholar working on Issues, ethics and legal aspects, Artificial Intelligence and Health Informatics, having authored 39 papers that have together received 426 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Machine Learning in Healthcare (8 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (48 citations) and Artificial Intelligence (244 citations). Samir Abdelrahman has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Kensaku Kawamoto, Mohammad Amin Morid, Aly Fahmy, William Schuler, Tim Miller, Lane Schwartz, Wendy W. Chapman, Lee M. Christensen, Danielle L. Mowery and Olivia R. Liu Sheng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.