Random Structures and Algorithms

1.8k papers and 29.9k indexed citations i.

About

The 1.8k papers published in Random Structures and Algorithms in the last decades have received a total of 29.9k indexed citations. Papers published in Random Structures and Algorithms usually cover Computational Theory and Mathematics (792 papers), Discrete Mathematics and Combinatorics (783 papers) and Mathematical Physics (700 papers) specifically the topics of Limits and Structures in Graph Theory (705 papers), Stochastic processes and statistical mechanics (659 papers) and Advanced Graph Theory Research (516 papers). The most active scholars publishing in Random Structures and Algorithms are Svante Janson, Michael Molloy, Bruce Reed, Noga Alon, Alan Frieze, Boris Pittel, Vojtěch Rödl, Oliver Riordan, Uriel Feige and James Propp.

In The Last Decade

Fields of papers published in Random Structures and Algorithms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Random Structures and 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 Random Structures and Algorithms.

Countries where authors publish in Random Structures and Algorithms

Since Specialization
Citations

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