Farhad Maleki

95 total papers · 1.2k total citations
46 papers, 715 citations indexed

About

Farhad Maleki is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Farhad Maleki has authored 46 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Farhad Maleki's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Gene expression and cancer classification (8 papers) and AI in cancer detection (6 papers). Farhad Maleki is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Gene expression and cancer classification (8 papers) and AI in cancer detection (6 papers). Farhad Maleki collaborates with scholars based in Canada, Iran and United States. Farhad Maleki's co-authors include Katie Ovens, Reza Forghani, Caroline Reinhold, Anthony Kusalik, Nikesh Muthukrishnan, Daniel J. Hogan, Behzad Forghani, Ian McQuillan, Rajiv Gupta and Alan Spatz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Farhad Maleki

39 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Farhad Maleki 193 168 119 78 61 46 715
Ken Takasawa 261 1.4× 183 1.1× 137 1.2× 77 1.0× 38 0.6× 27 630
Hidenori Machino 169 0.9× 257 1.5× 166 1.4× 133 1.7× 58 1.0× 25 695
Khoa Tran 185 1.0× 226 1.3× 178 1.5× 55 0.7× 51 0.8× 20 699
Michalis Zervakis 100 0.5× 214 1.3× 189 1.6× 80 1.0× 89 1.5× 47 770
Tianjun Li 182 0.9× 57 0.3× 133 1.1× 46 0.6× 49 0.8× 57 850
Siow‐Wee Chang 123 0.6× 97 0.6× 173 1.5× 28 0.4× 78 1.3× 28 760
Xuejun Liu 197 1.0× 122 0.7× 95 0.8× 20 0.3× 52 0.9× 44 666
Jingyang Gao 132 0.7× 154 0.9× 160 1.3× 18 0.2× 77 1.3× 55 659
Tao Liu 124 0.6× 94 0.6× 116 1.0× 20 0.3× 53 0.9× 35 863
Tze-Yun Leong 160 0.8× 62 0.4× 358 3.0× 58 0.7× 56 0.9× 87 850

Countries citing papers authored by Farhad Maleki

Since Specialization
Citations

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

Fields of papers citing papers by Farhad Maleki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhad Maleki

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