Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

2.3k indexed citations
published 1985

Countries where authors are citing Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

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This map shows the geographic impact of Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. 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 Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm more than expected).

Fields of papers citing Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm.

About Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

This paper, published in 1985, received 2.3k indexed citations . Written by V. Černý covering the research area of Statistical and Nonlinear Physics and Condensed Matter Physics. It is primarily cited by scholars working on Artificial Intelligence (653 citations), Industrial and Manufacturing Engineering (556 citations), Computer Networks and Communications (342 citations), Computational Theory and Mathematics (334 citations) and Electrical and Electronic Engineering (279 citations). Published in Journal of Optimization Theory and Applications.

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/bf00940812.

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