Microsoft Research (India)

1.5k papers and 51.8k indexed citations

About

In recent decades, authors affiliated with Microsoft Research (India) have published 1.5k papers, which have received a total of 51.8k indexed citations. Scholars at this organization have produced 587 papers in Artificial Intelligence, 394 papers in Information Systems and 367 papers in Computer Networks and Communications on the topics of ICT in Developing Communities (169 papers), Topic Modeling (120 papers) and Natural Language Processing Techniques (104 papers). Their work is cited by papers focused on Artificial Intelligence (16.1k citations), Computer Networks and Communications (14.6k citations) and Information Systems (13.6k citations). Authors at Microsoft Research (India) collaborate with scholars in India, United States and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics. Some of Microsoft Research (India)'s most productive authors include Manik Varma, Jonathan Donner, Venkata N. Padmanabhan, Michael Isard, Mihai Budiu, Ramachandran Ramjee, Krishna Chintalapudi, Kentaro Toyama, Andrew Birrell and Yuan Yu.

In The Last Decade

Microsoft Research (India)

1.4k papers receiving 50.6k citations

Countries citing scholars working at Microsoft Research (India)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Microsoft Research (India). 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 (India) 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 (India) more than expected).

Fields of papers published by authors at Microsoft Research (India)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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2026