Theoretical Computer Science

26.8k papers and 264.6k indexed citations i.

About

26.8k papers covering Theoretical Computer Science have received a total of 264.6k indexed citations since 1950. Papers on subfields are most often about the specific topic of History and Theory of Mathematics, Mathematics and Applications and Analytic Number Theory Research and also cover the fields of Geometry and Topology, Mathematical Physics and Algebra and Number Theory. Papers citing papers on subfields are usually about Geometry and Topology, Mathematical Physics and Algebra and Number Theory. Some of the most active scholars covering Theoretical Computer Science are Robin Hartshorne, Tom M. Apostol, Joseph H. Silverman, Robert Lazarsfeld, Pierre Deligne, J. W. S. Cassels, Anna Sfard, Bruce C. Berndt, Andrew Wiles and C. T. C. Wall.

In The Last Decade

Fields of papers citing papers about Theoretical Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering 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 covering Theoretical Computer Science.

Countries where authors publish papers about Theoretical Computer Science

Since Specialization
Citations

This map shows the geographic impact of research 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 about 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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2025