Microsoft Research New England (United States)

277 papers and 12.6k indexed citations i.

About

In recent decades, authors affiliated with Microsoft Research New England (United States) have published 277 papers, which have received a total of 12.6k indexed citations. Scholars at this organization have produced 64 papers in Artificial Intelligence, 50 papers in Management Science and Operations Research and 46 papers in Computational Theory and Mathematics on the topics of Auction Theory and Applications (39 papers), Combinatorial Optimization and Complexity Theory (32 papers) and Consumer Market Behavior and Pricing (25 papers). Their work is cited by papers focused on Molecular Biology (3.1k citations), Artificial Intelligence (2.0k citations) and Sociology and Political Science (1.7k citations). Authors at Microsoft Research New England (United States) collaborate with scholars in United States, United Kingdom and Israel and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Microsoft Research New England (United States)'s most productive authors include Ce Liu, Tarleton Gillespie, danah boyd, Sham M. Kakade, Henry Cohn, Sarita Yardi, Kate Crawford, Nicolò Fusi, Meagan E. Sullender and Emma W Vaimberg.

In The Last Decade

Fields of papers published by authors at Microsoft Research New England (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Microsoft Research New England (United States)

Since Specialization

Citations

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