Alireza Shafaei

About

Alireza Shafaei is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Alireza Shafaei has authored 21 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Alireza Shafaei’s work include Low-power high-performance VLSI design (8 papers), Quantum Computing Algorithms and Architecture (8 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Alireza Shafaei is often cited by papers focused on Low-power high-performance VLSI design (8 papers), Quantum Computing Algorithms and Architecture (8 papers) and Advancements in Semiconductor Devices and Circuit Design (8 papers). Alireza Shafaei collaborates with scholars based in United States, Iran and Canada. Alireza Shafaei's co-authors include Massoud Pedram, Mehdi Saeedi, James Little, Mark Schmidt, James J. Little, Yanzhi Wang, Xue Lin, Ghasem Pasandi, Coenrad J. Fourie and Mahmoud Omid and has published in prestigious journals such as IEEE Transactions on Applied Superconductivity, Quantum Information Processing and Quantum Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Alireza Shafaei i

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Fields of papers citing papers by Alireza Shafaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alireza Shafaei

Since Specialization

Citations

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