NEC (United States)

About

In recent decades, authors affiliated with NEC (United States) have published 786 papers, which have received a total of 30.8k indexed citations. Scholars at this organization have produced 268 papers in Electrical and Electronic Engineering, 226 papers in Computer Networks and Communications and 205 papers in Computer Vision and Pattern Recognition on the topics of Optical Network Technologies (102 papers), Advanced Photonic Communication Systems (81 papers) and Advanced Optical Network Technologies (75 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (12.7k citations), Artificial Intelligence (8.7k citations) and Computer Networks and Communications (6.9k citations). Authors at NEC (United States) collaborate with scholars in United States, Japan and China and have published in prestigious journals including Nature, JAMA and Circulation. Some of NEC (United States)'s most productive authors include Yihong Gong, Shuicheng Yan, Vladimir Vapnik, Thomas S. Huang, Kai Yu, Kai Yu, Wongun Choi, Manmohan Chandraker, Fengjun Lv and Shenghuo Zhu.

In The Last Decade

NEC (United States)

740 papers receiving 29.7k citations

Countries citing scholars working at NEC (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at NEC (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 NEC (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 NEC (United States) more than expected).

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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2026