Elina Nayebi
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Signal Processing
- Co-authors
- Thomas L. MarzettaAlexei AshikhminBhaskar D. RaoHong YangP. DayalKee-Bong SongGabriel Porto VillardiAmirhossein Amiri
- Topics
- Advanced MIMO Systems Optimization (8 papers)Cooperative Communication and Network Coding (6 papers)Energy Harvesting in Wireless Networks (3 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAerospace Engineering
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Wireless CommunicationseScholarship (California Digital Library)
- Partner nations
- United StatesIranJapan
In The Last Decade
Elina Nayebi
10 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 22
- Electrical and Electronic Engineering 856
- Computer Networks and Communications 427
- Aerospace Engineering 183
- Biomedical Engineering 29
- Signal Processing 17
Countries citing papers authored by Elina Nayebi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | TDD Massive MIMO Systems: Channel Estimation, Power Optimization, and Access Point Location Design | 6 |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 51 | |
| 7 | Precoding and Power Optimization in Cell-Free Massive MIMO Systemsbreakdown → | 508 |
| 8 | 1 | |
| 9 | 118 | |
| 10 | 163 |
About Elina Nayebi
Elina Nayebi is a scholar working on Medical Laboratory Technology, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 10 papers that have together received 882 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (8 papers), Cooperative Communication and Network Coding (6 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (427 citations), Electrical and Electronic Engineering (856 citations) and Aerospace Engineering (183 citations). Elina Nayebi has collaborated with scholars based in United States, Iran and Japan. Frequent co-authors include Thomas L. Marzetta, Alexei Ashikhmin, Bhaskar D. Rao, Hong Yang, P. Dayal, Kee-Bong Song, Gabriel Porto Villardi and Amirhossein Amiri. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications and eScholarship (California Digital Library).
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.