Eric Rebeiz

574 citations
23 papers · 440 · h-index 12

Impact in

Papers in

Eric Rebeiz

23 papers receiving 419 citations

Peers

Eric Rebeiz
Comparison fields: 5 of 23
  • Computer Networks and Communications 313
  • Signal Processing 104
  • Computational Mechanics 94
  • Aerospace Engineering 106
  • Electrical and Electronic Engineering 206
Replace Aliakbar Tadaion with:
Aliakbar Tadaion Iran
Paulo Urriza United States
Xiaomei Zhu China
Yuan Ma China
Carles Navarro Manchón Denmark
T. Yucek United States
C. Komninakis United States
Mostafa Derakhtian Iran
Dongxu Shen Hong Kong
S.M. Elnoubi United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Rebeiz

Since Specialization
Citations

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

Fields of papers citing papers by Eric Rebeiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Eric Rebeiz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Rebeiz Line = papers co-authored together Eric Rebeiz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012127
2 201349
3 201140
4
Multiple antenna cyclostationary spectrum sensing based on the cyclic correlation significance test
201636
5 201224
6 201323
7 201123
8 201517
9 201215
10 201312
11 201311
12 201211
13 201110
14 20138
15 20117
16 20136
17 20135
18
Eigenvalue-based cyclostationary spectrum sensing using multiple antennas
20164
19 20113
20 20153

About Eric Rebeiz

Eric Rebeiz is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering and Signal Processing, having authored 23 papers that have together received 440 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (11 papers), Wireless Signal Modulation Classification (7 papers), Radar Systems and Signal Processing (7 papers), Blind Source Separation Techniques (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Optical Network Technologies (3 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Computer Networks and Communications (313 citations), Signal Processing (104 citations), Computational Mechanics (94 citations), Aerospace Engineering (106 citations) and Electrical and Electronic Engineering (206 citations). Eric Rebeiz has collaborated with scholars based in United States, Finland and Israel. Frequent co-authors include Danijela Čabrić, Paulo Urriza, Steven Freear, Theodoros A. Tsiftsis, Paschalis C. Sofotasios, Li Zhang, Varun Jain, Przemysław Pawełczak, Mikko Valkama and Déborah Cohen. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Communications Magazine and IEEE Transactions on Circuits and Systems I Regular Papers.

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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