Microsoft Research (United Kingdom)

5.0k papers and 308.3k indexed citations i.

About

In recent decades, authors affiliated with Microsoft Research (United Kingdom) have published 5.0k papers, which have received a total of 308.3k indexed citations. Scholars at this organization have produced 2.0k papers in Artificial Intelligence, 1.1k papers in Computer Vision and Pattern Recognition and 957 papers in Computer Networks and Communications on the topics of Topic Modeling (519 papers), Natural Language Processing Techniques (442 papers) and Parallel Computing and Optimization Techniques (261 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (125.4k citations), Artificial Intelligence (102.1k citations) and Computer Networks and Communications (24.6k citations). Authors at Microsoft Research (United Kingdom) collaborate with scholars in United Kingdom, United States and China and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Microsoft Research (United Kingdom)'s most productive authors include Kaiming He, Shaoqing Ren, Jian Sun, Xiangyu Zhang, Christopher Bishop, Chris Bishop, Ross Girshick, Jian Sun, Michael E. Tipping and Xiaodong He.

In The Last Decade

Fields of papers published by authors at Microsoft Research (United Kingdom)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Microsoft Research (United Kingdom)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Microsoft Research (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 Microsoft Research (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 Microsoft Research (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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