Matching, Euler tours and the Chinese postman

583 indexed citations

Abstract

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About

This paper, published in 1973, received 583 indexed citations. Written by Jack Edmonds and Ellis L. Johnson covering the research area of Computational Theory and Mathematics and Computer Networks and Communications. It is primarily cited by scholars working on Computational Theory and Mathematics (235 citations), Industrial and Manufacturing Engineering (214 citations) and Computer Networks and Communications (154 citations). Published in Mathematical Programming.

Countries where authors are citing Matching, Euler tours and the Chinese postman

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This map shows the geographic impact of Matching, Euler tours and the Chinese postman. 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 Matching, Euler tours and the Chinese postman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matching, Euler tours and the Chinese postman more than expected).

Fields of papers citing Matching, Euler tours and the Chinese postman

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Matching, Euler tours and the Chinese postman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Matching, Euler tours and the Chinese postman.

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.

This paper is also available at doi.org/10.1007/bf01580113.

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