Samir Abdelrahman

34 papers and 356 indexed citations i.

About

Samir Abdelrahman is a scholar working on Artificial Intelligence, Epidemiology and Molecular Biology. According to data from OpenAlex, Samir Abdelrahman has authored 34 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Samir Abdelrahman’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Machine Learning in Healthcare (10 papers). Samir Abdelrahman is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Machine Learning in Healthcare (10 papers). Samir Abdelrahman collaborates with scholars based in United States, Egypt and Sweden. Samir Abdelrahman's co-authors include Kensaku Kawamoto, Mohammad Amin Morid, Olivia R. Liu Sheng, Lane Schwartz, William Schuler, Tim Miller, Lee M. Christensen, Wendy W. Chapman, Danielle L. Mowery and Bruce E. Bray and has published in prestigious journals such as PLoS ONE, IEEE Access and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Samir Abdelrahman i

Fields of papers citing papers by Samir Abdelrahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Samir Abdelrahman

Since Specialization
Citations

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).

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.

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