Samir Abdelrahman

75 total papers · 1.1k total citations
38 papers, 421 citations indexed

About

Samir Abdelrahman is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Samir Abdelrahman has authored 38 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Samir Abdelrahman's work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Machine Learning in Healthcare (8 papers). Samir Abdelrahman is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Machine Learning in Healthcare (8 papers). Samir Abdelrahman collaborates with scholars based in United States, Egypt and France. Samir Abdelrahman's co-authors include Kensaku Kawamoto, Aly Fahmy, Mohammad Amin Morid, Lane Schwartz, Tim Miller, William Schuler, Wendy W. Chapman, Danielle L. Mowery, Lee M. Christensen and Ibrahim Farag and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Samir Abdelrahman

34 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Samir Abdelrahman 243 61 48 48 43 38 421
Arjen Hommersom 199 0.8× 45 0.7× 52 1.1× 49 1.0× 22 0.5× 48 421
Haijun Zhai 200 0.8× 51 0.8× 119 2.5× 82 1.7× 22 0.5× 19 460
Enea Parimbelli 137 0.6× 41 0.7× 62 1.3× 89 1.9× 85 2.0× 47 478
Jing Mei 199 0.8× 32 0.5× 62 1.3× 72 1.5× 18 0.4× 58 430
Maryam Zolnoori 143 0.6× 32 0.5× 60 1.3× 60 1.3× 71 1.7× 53 375
Ramkiran Gouripeddi 71 0.3× 56 0.9× 39 0.8× 71 1.5× 46 1.1× 47 420
Smaranda Belciug 201 0.8× 43 0.7× 52 1.1× 75 1.6× 21 0.5× 40 447
Jeremy C. Weiss 136 0.6× 125 2.0× 24 0.5× 57 1.2× 36 0.8× 28 458
František Babič 113 0.5× 54 0.9× 16 0.3× 73 1.5× 16 0.4× 62 375
Hansi Zhang 142 0.6× 24 0.4× 90 1.9× 31 0.6× 27 0.6× 28 372

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).

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.

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

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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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