L.M. Garth

631 citations
38 papers · 445 · h-index 13

Impact in

Papers in

L.M. Garth

37 papers receiving 397 citations

Peers

L.M. Garth
Comparison fields: 5 of 38
  • Computer Networks and Communications 239
  • Signal Processing 105
  • Electrical and Electronic Engineering 318
  • Computational Mechanics 50
  • Statistics and Probability 16
Replace Charles C. Cavalcante with:
Charles C. Cavalcante Brazil
Jean-Marc Brossier France
X. Wang United States
S. Visuri Finland
Pei-Jung Chung United Kingdom
Dimitrios Katselis Sweden
Tsung‐Hsien Liu Taiwan
A. Chkeif France
Peter A. Parker United States
Berna Sayrac France
L.M. Garth relative to Charles C. Cavalcante Brazil Charles C. Cavalcante's profile →
Citations per field
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Citations per year

Countries citing papers authored by L.M. Garth

Since Specialization
Citations

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

Fields of papers citing papers by L.M. Garth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside L.M. Garth, 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 L.M. Garth Line = papers co-authored together L.M. Garth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200347
2 199438
3 199237
4 200435
5 200729
6 200128
7 200125
8 200525
9 200519
10 200818
11 199615
12 200714
13 200813
14 200810
15 20069
16 20079
17 20077
18 20087
19 19936
20 19975

About L.M. Garth

L.M. Garth is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 38 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (21 papers), Advanced MIMO Systems Optimization (16 papers), Cooperative Communication and Network Coding (10 papers), Wireless Communication Networks Research (9 papers), Advanced Wireless Network Optimization (7 papers), Blind Source Separation Techniques (7 papers), Power Line Communications and Noise (5 papers) and Advanced Adaptive Filtering Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Signal Processing (105 citations), Electrical and Electronic Engineering (318 citations), Computational Mechanics (50 citations) and Statistics and Probability (16 citations). L.M. Garth has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Peter J. Smith, H. Vincent Poor, Yoram Bresler, Sergey Loyka, Ping-Heng Kuo, Mansoor Shafi, Jian Yang, Jean-Jacques Werner, Amir R. Forouzan and Mischa Döhler. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Communications Letters and Journal of Multivariate Analysis.

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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