ACM Journal of Experimental Algorithmics

360 papers and 4.3k indexed citations i.

About

The 360 papers published in ACM Journal of Experimental Algorithmics in the last decades have received a total of 4.3k indexed citations. Papers published in ACM Journal of Experimental Algorithmics usually cover Computer Networks and Communications (142 papers), Artificial Intelligence (135 papers) and Computational Theory and Mathematics (131 papers) specifically the topics of Algorithms and Data Compression (86 papers), Data Management and Algorithms (80 papers) and Combinatorial Optimization and Complexity Theory (79 papers). The most active scholars publishing in ACM Journal of Experimental Algorithmics are Peter Sanders, Dorothea Wagner, Gonzalo Navarro, David Eppstein, Frank Schulz, Jordi Petit, Christos Zaroliagis, Daniel Delling, Leonid Boytsov and J. R. Ullmann.

In The Last Decade

Fields of papers published in ACM Journal of Experimental Algorithmics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Journal of Experimental Algorithmics. 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 Journal of Experimental Algorithmics.

Countries where authors publish in ACM Journal of Experimental Algorithmics

Since Specialization
Citations

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