Samsung (United Kingdom)

434 papers and 7.3k indexed citations i.

About

In recent decades, authors affiliated with Samsung (United Kingdom) have published 434 papers, which have received a total of 7.3k indexed citations. Scholars at this organization have produced 144 papers in Electrical and Electronic Engineering, 105 papers in Computer Vision and Pattern Recognition and 94 papers in Artificial Intelligence on the topics of Advanced MIMO Systems Optimization (69 papers), Advanced Neural Network Applications (32 papers) and Telecommunications and Broadcasting Technologies (30 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (2.0k citations), Computer Vision and Pattern Recognition (1.6k citations) and Artificial Intelligence (1.4k citations). Authors at Samsung (United Kingdom) collaborate with scholars in United Kingdom, South Korea and United States and have published in prestigious journals including Journal of Biological Chemistry, Nature Communications and Nano Letters. Some of Samsung (United Kingdom)'s most productive authors include Maja Pantić, Timothy M. Hospedales, Stavros Petridis, Tao Xiang, Yongxin Yang, Shangbin Wu, Georgios Tzimiropoulos, Shaomin Li, Seung Ho Park and David K. Tse.

In The Last Decade

Fields of papers published by authors at Samsung (United Kingdom)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Samsung (United Kingdom) 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 Samsung (United Kingdom) at the time of their publication.

Countries citing scholars working at Samsung (United Kingdom)

Since Specialization

Citations

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