IIT@MIT

6.4k papers and 311.5k indexed citations i.

About

In recent decades, authors affiliated with IIT@MIT have published 6.4k papers, which have received a total of 311.5k indexed citations. Scholars at this organization have produced 675 papers in Electrical and Electronic Engineering, 580 papers in Artificial Intelligence and 559 papers in Molecular Biology on the topics of Algebraic structures and combinatorial models (269 papers), Advanced Topics in Algebra (188 papers) and Astro and Planetary Science (150 papers). Their work is cited by papers focused on Molecular Biology (57.0k citations), Biomedical Engineering (27.6k citations) and Economics and Econometrics (26.4k citations). Authors at IIT@MIT collaborate with scholars in United States, United Kingdom and France and have published in prestigious journals including Nature, Science and Cell. Some of IIT@MIT's most productive authors include Stewart C. Myers, G. Lusztig, Victor G. Kač, Hunt Allcott, Eric S. Lander, Klavs F. Jensen, Daron Acemoğlu, Noam Chomsky, David Autor and Matías Zaldarriaga.

In The Last Decade

Fields of papers published by authors at IIT@MIT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with IIT@MIT 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 IIT@MIT at the time of their publication.

Countries citing scholars working at IIT@MIT

Since Specialization
Citations

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