Elina Nayebi

14 total papers · 1.3k total citations
10 papers, 878 citations indexed

About

Elina Nayebi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Elina Nayebi has authored 10 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 1 paper in Control and Systems Engineering. Recurrent topics in Elina Nayebi's work include Advanced MIMO Systems Optimization (8 papers), Cooperative Communication and Network Coding (6 papers) and Energy Harvesting in Wireless Networks (3 papers). Elina Nayebi is often cited by papers focused on Advanced MIMO Systems Optimization (8 papers), Cooperative Communication and Network Coding (6 papers) and Energy Harvesting in Wireless Networks (3 papers). Elina Nayebi collaborates with scholars based in United States, Iran and Japan. Elina Nayebi's co-authors include Thomas L. Marzetta, Alexei Ashikhmin, Bhaskar D. Rao, Hong Yang, P. Dayal, Kee-Bong Song, Gabriel Porto Villardi and Amirhossein Amiri and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications and eScholarship (California Digital Library).

In The Last Decade

Elina Nayebi

10 papers receiving 863 citations

Hit Papers

Precoding and Power Optim... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Elina Nayebi 852 423 183 29 17 10 878
D.S. Baum 978 1.1× 514 1.2× 239 1.3× 17 0.6× 21 1.2× 14 1.0k
Rajiv Agarwal 681 0.8× 364 0.9× 140 0.8× 14 0.5× 15 0.9× 15 734
Robert C. Daniels 886 1.0× 329 0.8× 255 1.4× 49 1.7× 20 1.2× 24 986
Siavash Alamouti 644 0.8× 392 0.9× 131 0.7× 26 0.9× 13 0.8× 8 757
Qi Zhang 795 0.9× 395 0.9× 157 0.9× 25 0.9× 10 0.6× 29 837
Adriana Flores 748 0.9× 309 0.7× 167 0.9× 35 1.2× 33 1.9× 12 854
Manijeh Bashar 776 0.9× 306 0.7× 130 0.7× 30 1.0× 20 1.2× 36 838
Robert Stacey 681 0.8× 546 1.3× 79 0.4× 23 0.8× 37 2.2× 11 825
Binbin Dai 641 0.8× 429 1.0× 69 0.4× 17 0.6× 8 0.5× 15 703
Alexey Khoryaev 681 0.8× 220 0.5× 163 0.9× 24 0.8× 26 1.5× 19 718

Countries citing papers authored by Elina Nayebi

Since Specialization
Citations

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

Fields of papers citing papers by Elina Nayebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elina Nayebi

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