Theory of Computing Systems

1.3k papers and 9.6k indexed citations i.

About

The 1.3k papers published in Theory of Computing Systems in the last decades have received a total of 9.6k indexed citations. Papers published in Theory of Computing Systems usually cover Computational Theory and Mathematics (814 papers), Artificial Intelligence (478 papers) and Computer Networks and Communications (419 papers) specifically the topics of Combinatorial Optimization and Complexity Theory (321 papers), semigroups and automata theory (293 papers) and Advanced Graph Theory Research (258 papers). The most active scholars publishing in Theory of Computing Systems are Johann A. Makowsky, B. Courcelle, Udi Rotics, Kunihiko Sadakane, Harald Räcke, Konstantin Andreev, Joël Alwen, Chris Peikert, Dimitris Fotakis and Ami Litman.

In The Last Decade

Fields of papers published in Theory of Computing Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Theory of Computing Systems. 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 Systems.

Countries where authors publish in Theory of Computing Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Theory of Computing Systems. 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 Systems 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 Systems 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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