Farah E. Shamout

16 papers and 318 indexed citations i.

About

Farah E. Shamout is a scholar working on Artificial Intelligence, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Farah E. Shamout has authored 16 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Epidemiology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Farah E. Shamout’s work include Machine Learning in Healthcare (8 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 diagnosis using AI (5 papers). Farah E. Shamout is often cited by papers focused on Machine Learning in Healthcare (8 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 diagnosis using AI (5 papers). Farah E. Shamout collaborates with scholars based in United States, United Kingdom and United Arab Emirates. Farah E. Shamout's co-authors include David A. Clifton, Tingting Zhu, Pulkit Sharma, Peter Watkinson, Antonios N. Pouliopoulos, Rob Krams, James J. Choi, Yvonne W. Lui, Jungkyu Park and Jan Witowski and has published in prestigious journals such as Scientific Reports, Communications of the ACM and BMJ Open.

In The Last Decade

Co-authorship network of co-authors of Farah E. Shamout i

Fields of papers citing papers by Farah E. Shamout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farah E. Shamout. 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 Farah E. Shamout. The network helps show where Farah E. Shamout may publish in the future.

Countries citing papers authored by Farah E. Shamout

Since Specialization
Citations

This map shows the geographic impact of Farah E. Shamout'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 Farah E. Shamout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farah E. Shamout 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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2025