Microsoft (Canada)

206 papers receiving 7.4k citations

Peers

Microsoft (Canada)
Comparison fields: 5 of 161
  • Health Informatics 347
  • Human-Computer Interaction 883
  • Safety Research 996
  • Artificial Intelligence 3.2k
  • Computer Science Applications 474
Replace Microsoft Research New York City (United States) with:
Microsoft Research New York City (United States) United States
Data & Society Research Institute United States
Open Geospatial Consortium United States
World Wide Web Consortium United States
Capital One (United States) United States
Columbus State Community College United States
Autodesk (Canada) Canada
University of Maine School of Law United States
eHealth Initiative United States
Aptima (United States) United States
Microsoft (Canada) relative to Microsoft Research New York City (United States) United States Microsoft Research New York City (United States)'s profile →
Citations per field
00.5×1.5×2.1×
Microsoft Research New York City (United States) · 1×
Citations per year

Countries citing scholars working at Microsoft (Canada)

Since Specialization
Citations

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

Fields of papers published by authors at Microsoft (Canada)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About Microsoft (Canada)

In recent decades, authors affiliated with Microsoft (Canada) have published 240 papers, which have received a total of 8.0k indexed citations . Scholars at this organization have produced 12 papers in Health Informatics, 33 papers in Safety Research, 23 papers in Human-Computer Interaction, 20 papers in Computer Science Applications and 116 papers in Artificial Intelligence on the topics of Topic Modeling (52 papers), Ethics and Social Impacts of AI (32 papers), Natural Language Processing Techniques (21 papers), Explainable Artificial Intelligence (XAI) (20 papers), Information Retrieval and Search Behavior (17 papers), Mobile Crowdsensing and Crowdsourcing (15 papers), Recommender Systems and Techniques (14 papers) and Web Data Mining and Analysis (12 papers). Their work is cited by papers focused on Health Informatics (347 citations), Human-Computer Interaction (883 citations), Safety Research (996 citations), Artificial Intelligence (3.2k citations) and Computer Science Applications (474 citations). Authors at Microsoft (Canada) collaborate with scholars in Canada, United States and United Kingdom and have published in prestigious journals including Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Access and IEEE Transactions on Software Engineering. Some of Microsoft (Canada)'s most productive authors include Qingzi Vera Liao, Fernando Díaz, Alexandra Olteanu, Bhaskar Mitra, Qing Zhi Zhao, Emre Kıcıman, Jennifer Wortman Vaughan, Nick Craswell, Carlos Cortes Castillo and Luke Stark.

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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