Mitsubishi Electric (United States)

2.7k papers and 61.8k indexed citations i.

About

In recent decades, authors affiliated with Mitsubishi Electric (United States) have published 2.7k papers, which have received a total of 61.8k indexed citations. Scholars at this organization have produced 1.0k papers in Electrical and Electronic Engineering, 529 papers in Computer Vision and Pattern Recognition and 505 papers in Control and Systems Engineering on the topics of Advanced Vision and Imaging (171 papers), Advanced Control Systems Optimization (158 papers) and Speech and Audio Processing (134 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (21.8k citations), Electrical and Electronic Engineering (19.5k citations) and Artificial Intelligence (10.9k citations). Authors at Mitsubishi Electric (United States) collaborate with scholars in United States, Japan and Germany and have published in prestigious journals including Nature, Nature Communications and ACS Nano. Some of Mitsubishi Electric (United States)'s most productive authors include Michael Jones, Paul Viola, William T. Freeman, Andreas F. Molisch, Anthony Vetro, Shai Avidan, Stefano Di Cairano, Fatih Porikli, Shinji Watanabe and Jonathan Le Roux.

In The Last Decade

Fields of papers published by authors at Mitsubishi Electric (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Mitsubishi Electric (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Mitsubishi Electric (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 Mitsubishi Electric (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 Mitsubishi Electric (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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