LG (United States)

615 papers and 8.4k indexed citations i.

About

In recent decades, authors affiliated with LG (United States) have published 615 papers, which have received a total of 8.4k indexed citations. Scholars at this organization have produced 272 papers in Electrical and Electronic Engineering, 104 papers in Computer Networks and Communications and 93 papers in Computer Vision and Pattern Recognition on the topics of Advanced MIMO Systems Optimization (36 papers), Wireless Communication Networks Research (27 papers) and Advanced Wireless Communication Techniques (26 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (4.2k citations), Computer Networks and Communications (1.5k citations) and Biomedical Engineering (1.4k citations). Authors at LG (United States) collaborate with scholars in United States, South Korea and Canada and have published in prestigious journals including Advanced Materials, Renewable and Sustainable Energy Reviews and PLoS ONE. Some of LG (United States)'s most productive authors include Ki-Dong Lee, Hanbyul Seo, Bruno Clerckx, David Mazzarese, Byung K. Yi, Arun Ross, Sushrut D. Shah, Daewon Lee, Satoshi Nagata and Krishna Sayana.

In The Last Decade

Fields of papers published by authors at LG (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with LG (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with LG (United States) at the time of their publication.

Countries citing scholars working at LG (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at LG (United States). 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 papers produced at LG (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LG (United States) more than expected).

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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2025