Theory of Computing

288 papers and 5.1k indexed citations i.

About

The 288 papers published in Theory of Computing in the last decades have received a total of 5.1k indexed citations. Papers published in Theory of Computing usually cover Computational Theory and Mathematics (214 papers), Artificial Intelligence (164 papers) and Computer Networks and Communications (53 papers) specifically the topics of Combinatorial Optimization and Complexity Theory (171 papers), Advanced Graph Theory Research (71 papers) and Cryptography and Data Security (55 papers). The most active scholars publishing in Theory of Computing are Scott Aaronson, David Zuckerman, Pedro F. Felzenszwalb, Daniel P. Huttenlocher, A. A. Архипов, John Watrous, Rajeev Motwani, Sariel Har-Peled, Piotr Indyk and Satyen Kale.

In The Last Decade

Fields of papers published in Theory of Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Theory of Computing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Theory of Computing.

Countries where authors publish in Theory of Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Theory of Computing. 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 published in Theory of Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theory of Computing 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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