Farah E. Shamout

64 total papers · 942 total citations
17 papers, 294 citations indexed

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 17 papers receiving a total of 294 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 (7 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 diagnosis using AI (4 papers). Farah E. Shamout is often cited by papers focused on Machine Learning in Healthcare (7 papers), Sepsis Diagnosis and Treatment (6 papers) and COVID-19 diagnosis using AI (4 papers). Farah E. Shamout collaborates with scholars based in United Kingdom, United Arab Emirates and United States. Farah E. Shamout's co-authors include David A. Clifton, Tingting Zhu, Pulkit Sharma, Peter Watkinson, James J. Choi, Rob Krams, Antonios N. Pouliopoulos, S. Farokh Atashzar, Vinayak Abrol and Bartłomiej Piechowski‐Jóźwiak and has published in prestigious journals such as Scientific Reports, Communications of the ACM and BMJ Open.

In The Last Decade

Farah E. Shamout

15 papers receiving 283 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Farah E. Shamout 105 71 58 44 34 17 294
Meng-Ju Hsieh 63 0.6× 34 0.5× 41 0.7× 42 1.0× 20 0.6× 21 334
Anna Siefkas 80 0.8× 70 1.0× 27 0.5× 93 2.1× 36 1.1× 17 321
Matthias Hüser 121 1.2× 89 1.3× 21 0.4× 30 0.7× 25 0.7× 9 251
Thomas Gumbsch 125 1.2× 87 1.2× 21 0.4× 30 0.7× 25 0.7× 8 262
Martin Faltys 117 1.1× 91 1.3× 21 0.4× 29 0.7× 25 0.7× 7 252
Swapna Abhyankar 108 1.0× 42 0.6× 23 0.4× 27 0.6× 60 1.8× 18 313
Stephanie L. Hyland 157 1.5× 85 1.2× 23 0.4× 64 1.5× 29 0.9× 10 324
Xuan Song 47 0.4× 53 0.7× 16 0.3× 51 1.2× 26 0.8× 28 365
Aditi Gupta 80 0.8× 59 0.8× 16 0.3× 24 0.5× 38 1.1× 17 264
Nianzong Hou 95 0.9× 140 2.0× 14 0.2× 50 1.1× 26 0.8× 9 358

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Farah E. Shamout. A scholar is included among the top collaborators of Farah E. Shamout 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 Farah E. Shamout. Farah E. Shamout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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