Theoretical Computer Science

13.0k papers and 169.1k indexed citations i.

About

The 13.0k papers published in Theoretical Computer Science in the last decades have received a total of 169.1k indexed citations. Papers published in Theoretical Computer Science usually cover Computational Theory and Mathematics (8.6k papers), Artificial Intelligence (6.6k papers) and Computer Networks and Communications (3.0k papers) specifically the topics of semigroups and automata theory (3.2k papers), Logic, programming, and type systems (2.4k papers) and Formal Methods in Verification (1.8k papers). The most active scholars publishing in Theoretical Computer Science are Jean-Yves Girard, Leslie G. Valiant, Rajeev Alur, Gordon Plotkin, David L. Dill, Gilles Brassard, José Meseguer, Charles H. Bennett, Teofilo F. Gonzalez and Bruno Courcelle.

In The Last Decade

Fields of papers published in Theoretical Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Theoretical Computer Science. 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 Theoretical Computer Science.

Countries where authors publish in Theoretical Computer Science

Since Specialization
Citations

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