Microsoft Research New York City (United States)

14.8k citations
285 papers ·

Impact in

Papers in

Microsoft Research New York City (United States)

258 papers receiving 13.8k citations

Peers

Microsoft Research New York City (United States)
Comparison fields: 5 of 209
  • Ecological Modeling 1.4k
  • Health Informatics 467
  • Safety Research 2.0k
  • Communication 1.3k
  • Computer Science Applications 721
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Citations per field
00.5×20×40×60×72.4×
Data & Society Research Institute · 1×
Citations per year

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

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Microsoft Research New York City (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 York City (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 York City (United States) more than expected).

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Microsoft Research New York City (United States)

In recent decades, authors affiliated with Microsoft Research New York City (United States) have published 285 papers, which have received a total of 14.8k indexed citations . Scholars at this organization have produced 13 papers in General Decision Sciences, 45 papers in Safety Research, 69 papers in Management Science and Operations Research, 23 papers in Computer Science Applications and 26 papers in Marketing on the topics of Auction Theory and Applications (43 papers), Advanced Bandit Algorithms Research (29 papers), Sports Analytics and Performance (29 papers), Ethics and Social Impacts of AI (24 papers), Consumer Market Behavior and Pricing (23 papers), Mobile Crowdsensing and Crowdsourcing (22 papers), Experimental Behavioral Economics Studies (20 papers) and Explainable Artificial Intelligence (XAI) (14 papers). Their work is cited by papers focused on Ecological Modeling (1.4k citations), Health Informatics (467 citations), Safety Research (2.0k citations), Communication (1.3k citations) and Computer Science Applications (721 citations). Authors at Microsoft Research New York City (United States) collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Proceedings of the National Academy of Sciences, Management Science, Communications of the ACM, Proceedings of the ACM on Human-Computer Interaction and Operations Research. Some of Microsoft Research New York City (United States)'s most productive authors include Jennifer Wortman Vaughan, Duncan J. Watts, Miroslav Dudı́k, Hanna Wallach, Robert E. Schapire, David M. Rothschild, Mary E. Blair, Steven J. Phillips, Robert P. Anderson and Fernando Díaz.

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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