Meritxell Lamarca

532 citations
49 papers · 337 indexed · h-index 8

Meritxell Lamarca

42 papers receiving 315 citations

Peers

Meritxell Lamarca
Comparison fields: 5 of 32
  • Computer Networks and Communications 230
  • Electrical and Electronic Engineering 298
  • Signal Processing 29
  • Computational Mechanics 20
  • Artificial Intelligence 28
Replace C.H. Wong with:
C.H. Wong United Kingdom
Jesper H. Sørensen Denmark
Hui‐Ling Lou United States
E‐L. Kuan
Deepshikha Garg Japan
M. Rupf Switzerland
A. Baier Germany
S. Mazur Sweden
Subbarayan Pasupathy Canada
Joachim Wehinger Austria
Meritxell Lamarca relative to C.H. Wong United Kingdom C.H. Wong's profile →
Citations per field
00.5×10×
C.H. Wong · 1×
Citations per year

Countries citing papers authored by Meritxell Lamarca

Since Specialization
Citations

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

Fields of papers citing papers by Meritxell Lamarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Meritxell Lamarca, 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 Meritxell Lamarca Line = papers co-authored together Meritxell Lamarca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20243
3 20210
4 20123
5 20110
6 20102
7 20101
8 20093
9 20097
10 200937
11 20070
12
MIMO transmission schemes in block fading using multilevel codes with multistage decoding
20061
13
Joint design of code, constellation and power allocation in BICM LDPC coded systems
20062
14 20064
15 20062
16 20051
17 20041
18
Iterative Decoding Algorithms for RS-Convolutional Concatenated Codes
20034
19 20031
20 19994

About Meritxell Lamarca

Meritxell Lamarca is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 49 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (38 papers), Error Correcting Code Techniques (16 papers), Wireless Communication Networks Research (16 papers), Advanced MIMO Systems Optimization (9 papers), Cooperative Communication and Network Coding (8 papers), Wireless Communication Security Techniques (4 papers), Advanced Wireless Communication Technologies (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (230 citations), Electrical and Electronic Engineering (298 citations) and Signal Processing (29 citations). Meritxell Lamarca has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include G. Vazquez, Javier Garcia‐Frias, Jaume Riba, Josep Sala-Álvarez, Ernest Sala, Jorge Garcı́a-Vidal, Olga Muñoz, José A. López-Salcedo, Adrián Agustín and P. M. Rodriguez‐Pascual. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

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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