M. Lara

561 citations
40 papers · 381 · h-index 8

Impact in

Papers in

M. Lara

37 papers receiving 367 citations

Peers

M. Lara
Comparison fields: 5 of 45
  • Signal Processing 136
  • Computer Networks and Communications 219
  • Electrical and Electronic Engineering 296
  • Computational Mechanics 47
  • Human-Computer Interaction 10
Replace Carles Navarro Manchón with:
Carles Navarro Manchón Denmark
Jiandong Xie China
Q.T. Zhang Canada
Xiaomei Zhu China
Sanjeev Gurugopinath India
A.R. Leyman Singapore
Yinman Lee Taiwan
Basile L. Agba Canada
M. Julia Fernández‐Getino García Spain
Kon Max Wong Canada
M. Lara relative to Carles Navarro Manchón Denmark Carles Navarro Manchón's profile →
Citations per field
00.5×
Carles Navarro Manchón · 1×
Citations per year

Countries citing papers authored by M. Lara

Since Specialization
Citations

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

Fields of papers citing papers by M. Lara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M. Lara, 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 M. Lara Line = papers co-authored together M. Lara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004153
2
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
201238
3 199930
4 200324
5 200724
6 200311
7 20068
8 20097
9 20037
10 20106
11 20046
12 20056
13
A low complexity iterative channel estimation and equalisation scheme for (data-dependent) superimposed training
20065
14 20085
15 20074
16 20034
17 20104
18 20094
19 20023
20 20053

About M. Lara

M. Lara is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 40 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (28 papers), Wireless Communication Networks Research (24 papers), Blind Source Separation Techniques (15 papers), Advanced MIMO Systems Optimization (11 papers), Advanced Wireless Network Optimization (8 papers), Speech and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (4 papers) and Power Line Communications and Noise (3 papers). The work is most often cited by research in Signal Processing (136 citations), Computer Networks and Communications (219 citations), Electrical and Electronic Engineering (296 citations), Computational Mechanics (47 citations) and Human-Computer Interaction (10 citations). M. Lara has collaborated with scholars based in Mexico, United Kingdom and Spain. Frequent co-authors include A.G. Orozco-Lugo, Des McLernon, B. Mulgrew, F.A. Cruz-Pérez, E. Alameda-Hernández, Mounir Ghogho, Valeri Kontorovich, R. Parra-Michel and Félix Ramos. Their work appears in journals such as Electronics Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Communications Letters and IEEE Transactions on Vehicular Technology.

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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