Payam Nayeri

135 total papers · 3.3k total citations
76 papers, 2.3k citations indexed

About

Payam Nayeri is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Payam Nayeri has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Aerospace Engineering, 27 papers in Electrical and Electronic Engineering and 11 papers in Civil and Structural Engineering. Recurrent topics in Payam Nayeri's work include Antenna Design and Analysis (57 papers), Advanced Antenna and Metasurface Technologies (48 papers) and Antenna Design and Optimization (22 papers). Payam Nayeri is often cited by papers focused on Antenna Design and Analysis (57 papers), Advanced Antenna and Metasurface Technologies (48 papers) and Antenna Design and Optimization (22 papers). Payam Nayeri collaborates with scholars based in United States, China and Italy. Payam Nayeri's co-authors include Atef Z. Elsherbeni, Fan Yang, Ahmed H. Abdelrahman, Randy L. Haupt, Fan Yang, Kai‐Fong Lee, Michael E. Gehm, Min Liang, Hao Xin and Mingguang Tuo and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Payam Nayeri

70 papers receiving 2.3k citations

Hit Papers

Reflectarray Antennas 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Payam Nayeri 2.2k 914 885 152 90 76 2.3k
Sean V. Hum 3.0k 1.3× 1.4k 1.5× 1.3k 1.4× 225 1.5× 112 1.2× 143 3.3k
Manuel Arrebola 1.7k 0.8× 604 0.7× 511 0.6× 136 0.9× 72 0.8× 131 1.9k
Mariano Barba 1.6k 0.7× 608 0.7× 649 0.7× 240 1.6× 71 0.8× 61 1.8k
S.D. Targonski 2.6k 1.2× 1.5k 1.6× 609 0.7× 181 1.2× 143 1.6× 30 2.7k
Jean‐Jacques Laurin 1.1k 0.5× 962 1.1× 332 0.4× 92 0.6× 37 0.4× 143 1.6k
B. Chambers 1.8k 0.8× 687 0.8× 1.4k 1.6× 227 1.5× 30 0.3× 132 2.6k
Pei‐Yuan Qin 3.0k 1.4× 2.4k 2.6× 472 0.5× 60 0.4× 47 0.5× 121 3.2k
J. Shaker 1.8k 0.8× 592 0.6× 930 1.1× 259 1.7× 107 1.2× 149 2.1k
Rafael R. Boix 1.2k 0.5× 878 1.0× 354 0.4× 74 0.5× 33 0.4× 105 1.6k
Luigi Boccia 1.4k 0.6× 894 1.0× 214 0.2× 90 0.6× 50 0.6× 136 1.7k

Countries citing papers authored by Payam Nayeri

Since Specialization
Citations

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

Fields of papers citing papers by Payam Nayeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Nayeri

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