Siamak Mehrkanoon

63 papers and 1.1k indexed citations i.

About

Siamak Mehrkanoon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Siamak Mehrkanoon has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Siamak Mehrkanoon’s work include Neural Networks and Applications (11 papers), Face and Expression Recognition (11 papers) and Numerical methods for differential equations (8 papers). Siamak Mehrkanoon is often cited by papers focused on Neural Networks and Applications (11 papers), Face and Expression Recognition (11 papers) and Numerical methods for differential equations (8 papers). Siamak Mehrkanoon collaborates with scholars based in Belgium, The Netherlands and China. Siamak Mehrkanoon's co-authors include Johan A. K. Suykens, Tomasz Stańczyk, Kevin Trebing, Xiaolin Huang, Rocco Langone, Tillmann Falck, Edwin Reynders, Steven X. Ding, Yimin Yang and Yuri A.W. Shardt and has published in prestigious journals such as Journal of Applied Physics, American Journal of Clinical Nutrition and Automatica.

In The Last Decade

Co-authorship network of co-authors of Siamak Mehrkanoon i

Fields of papers citing papers by Siamak Mehrkanoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siamak Mehrkanoon

Since Specialization
Citations

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