Microsoft (Finland)

383 papers and 11.0k indexed citations i.

About

In recent decades, authors affiliated with Microsoft (Finland) have published 383 papers, which have received a total of 11.0k indexed citations. Scholars at this organization have produced 141 papers in Artificial Intelligence, 71 papers in Computer Vision and Pattern Recognition and 71 papers in Information Systems on the topics of Topic Modeling (47 papers), Natural Language Processing Techniques (45 papers) and Speech Recognition and Synthesis (38 papers). Their work is cited by papers focused on Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (3.6k citations) and Computer Networks and Communications (2.3k citations). Authors at Microsoft (Finland) collaborate with scholars in Finland, United States and China and have published in prestigious journals including Journal of Political Economy, Journal of Applied Psychology and Langmuir. Some of Microsoft (Finland)'s most productive authors include Xifeng Yan, Philip S. Yu, Tianyi Wu, Yizhou Sun, Jiawei Han, George Varghese, Hugues Hoppe, Umesh Vazirani, Ethan Bernstein and Gilles Brassard.

In The Last Decade

Fields of papers published by authors at Microsoft (Finland)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Microsoft (Finland)

Since Specialization
Citations

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