ACM Transactions on Algorithms

834 papers and 10.4k indexed citations i.

About

The 834 papers published in ACM Transactions on Algorithms in the last decades have received a total of 10.4k indexed citations. Papers published in ACM Transactions on Algorithms usually cover Computational Theory and Mathematics (525 papers), Computer Networks and Communications (373 papers) and Artificial Intelligence (245 papers) specifically the topics of Combinatorial Optimization and Complexity Theory (413 papers), Advanced Graph Theory Research (294 papers) and Optimization and Search Problems (271 papers). The most active scholars publishing in ACM Transactions on Algorithms are Kenneth L. Clarkson, Gonzalo Navarro, Michael Elkin, George Karakostas, Yevgen Voronenko, Markus Püschel, Dániel Marx, Uri Zwick, David Eppstein and Raphael Yuster.

In The Last Decade

Fields of papers published in ACM Transactions on Algorithms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Algorithms. 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 ACM Transactions on Algorithms.

Countries where authors publish in ACM Transactions on Algorithms

Since Specialization
Citations

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