Saman Farahmand

25 total papers · 525 total citations
11 papers, 305 citations indexed

About

Saman Farahmand is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saman Farahmand has authored 11 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saman Farahmand's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Bioinformatics and Genomic Networks (3 papers). Saman Farahmand is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Bioinformatics and Genomic Networks (3 papers). Saman Farahmand collaborates with scholars based in United States, Iran and United Kingdom. Saman Farahmand's co-authors include Kourosh Zarringhalam, David L. Rimm, Jeffrey H. Chuang, Sandeep Namburi, Ali Foroughi pour, Aileen I. Fernandez, Dennis L. Caruana, Javad Noorbakhsh, Emily Reisenbichler and Seda Arat and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Gastroenterology.

In The Last Decade

Saman Farahmand

11 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Saman Farahmand 158 131 87 64 49 11 305
Shengtian Sang 81 0.5× 96 0.7× 111 1.3× 55 0.9× 23 0.5× 25 324
Quang Hien Kha 54 0.3× 126 1.0× 56 0.6× 34 0.5× 19 0.4× 10 280
Nitish Shirish Keskar 202 1.3× 103 0.8× 33 0.4× 30 0.5× 40 0.8× 14 313
Taylor E. Arnoff 72 0.5× 44 0.3× 166 1.9× 70 1.1× 53 1.1× 10 321
Fleur Jeanquartier 66 0.4× 60 0.5× 94 1.1× 31 0.5× 33 0.7× 17 297
Sherine Salama 126 0.8× 87 0.7× 49 0.6× 59 0.9× 21 0.4× 15 319
Randy Van Ommeren 105 0.7× 105 0.8× 80 0.9× 39 0.6× 27 0.6× 10 357
Jett Crowdis 71 0.4× 49 0.4× 156 1.8× 40 0.6× 76 1.6× 8 315
Ali Foroughi pour 138 0.9× 95 0.7× 90 1.0× 44 0.7× 34 0.7× 28 253
David Romo‐Bucheli 177 1.1× 232 1.8× 43 0.5× 39 0.6× 46 0.9× 13 326

Countries citing papers authored by Saman Farahmand

Since Specialization
Citations

This map shows the geographic impact of Saman Farahmand'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 Saman Farahmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saman Farahmand more than expected).

Fields of papers citing papers by Saman Farahmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saman Farahmand. 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 Saman Farahmand. The network helps show where Saman Farahmand may publish in the future.

Co-authorship network of co-authors of Saman Farahmand

This figure shows the co-authorship network connecting the top 25 collaborators of Saman Farahmand. A scholar is included among the top collaborators of Saman Farahmand 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 Saman Farahmand. Saman Farahmand 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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