Màrius Caus

1.0k citations
54 papers · 644 · h-index 15

Impact in

Papers in

Màrius Caus

48 papers receiving 624 citations

Peers

Màrius Caus
Comparison fields: 5 of 38
  • Computer Networks and Communications 361
  • Aerospace Engineering 334
  • Electrical and Electronic Engineering 567
  • Computational Mathematics 5
  • Media Technology 19
Replace K. Vasudevan with:
K. Vasudevan India
Andrea Modenini Italy
Rita Rinaldo Netherlands
Ronald Nissel Austria
Michael Dippold Germany
Ramón Martínez Rodríguez‐Osorio Spain
P. Orten Sweden
Alessandro Ugolini Italy
Jevgenij Krivochiza Luxembourg
Changxin Shi United States
Màrius Caus relative to K. Vasudevan India K. Vasudevan's profile →
Citations per field
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K. Vasudevan · 1×
Citations per year

Countries citing papers authored by Màrius Caus

Since Specialization
Citations

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

Fields of papers citing papers by Màrius Caus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Màrius Caus, 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 Màrius Caus Line = papers co-authored together Màrius Caus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201758
3 201252
4 201841
5 201941
6 201434
7 201629
8 201524
9 202423
10 200823
11 201320
12 202219
13 202018
14 202114
15 201114
16 201613
17 201312
18 201310
19 202010
20
Comparison of linear and widely linear processing in MIMO-FBMC systems
20138

About Màrius Caus

Màrius Caus is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence and Media Technology, having authored 54 papers that have together received 644 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (34 papers), Satellite Communication Systems (29 papers), PAPR reduction in OFDM (24 papers), Advanced Wireless Communication Techniques (21 papers), Advanced MIMO Systems Optimization (8 papers), Advanced Wireless Communication Technologies (7 papers), IoT Networks and Protocols (5 papers) and Cooperative Communication and Network Coding (3 papers). The work is most often cited by research in Computer Networks and Communications (361 citations), Aerospace Engineering (334 citations), Electrical and Electronic Engineering (567 citations), Computational Mathematics (5 citations) and Media Technology (19 citations). Màrius Caus has collaborated with scholars based in Spain, Netherlands and Belgium. Frequent co-authors include Ana I. Pèrez-Neira, Miguel Ángel Vázquez, Giulio Colavolpe, Alessandro Vanelli‐Coralli, Andrea Modenini, Stefano Cioni, Alessandro Guidotti, Tommaso Foggi, Xavier Mestre and Martin Haardt. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access, IEEE Transactions on Communications, IEEE Communications Standards Magazine and International Journal of Satellite Communications and Networking.

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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