Carnegie Mellon University

75.8k papers and 3.5M indexed citations i.

About

In recent decades, authors affiliated with Carnegie Mellon University have published 75.8k papers, which have received a total of 3.5M indexed citations. Scholars at this organization have produced 12.6k papers in Artificial Intelligence, 7.6k papers in Electrical and Electronic Engineering and 6.6k papers in Computer Vision and Pattern Recognition on the topics of Topic Modeling (1.9k papers), Natural Language Processing Techniques (1.8k papers) and Parallel Computing and Optimization Techniques (1.3k papers). Their work is cited by papers focused on Artificial Intelligence (419.9k citations), Materials Chemistry (347.8k citations) and Electrical and Electronic Engineering (286.2k citations). Authors at Carnegie Mellon University collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Science and Cell. Some of Carnegie Mellon University's most productive authors include Krzysztof Matyjaszewski, John A. Pople, Sheldon Cohen, George Loewenstein, Herbert A. Simon, Ignacio E. Grossmann, Wesley M. Cohen, Daniel A. Levinthal, John R. Anderson and Rongchao Jin.

In The Last Decade

Fields of papers published by authors at Carnegie Mellon University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Carnegie Mellon University 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 Carnegie Mellon University at the time of their publication.

Countries citing scholars working at Carnegie Mellon University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Carnegie Mellon University. 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 Carnegie Mellon University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carnegie Mellon University 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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2025