Applying tabu search to the job-shop scheduling problem

404 indexed citations
published 1993

Countries where authors are citing Applying tabu search to the job-shop scheduling problem

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This map shows the geographic impact of Applying tabu search to the job-shop scheduling problem. 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 Applying tabu search to the job-shop scheduling problem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applying tabu search to the job-shop scheduling problem more than expected).

Fields of papers citing Applying tabu search to the job-shop scheduling problem

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Applying tabu search to the job-shop scheduling problem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Applying tabu search to the job-shop scheduling problem.

About Applying tabu search to the job-shop scheduling problem

This paper, published in 1993, received 404 indexed citations . Written by Mauro Dell’Amico and Marco Trubian covering the research area of Industrial and Manufacturing Engineering. It is primarily cited by scholars working on Industrial and Manufacturing Engineering (369 citations), Computer Networks and Communications (145 citations) and Artificial Intelligence (102 citations). Published in Annals of Operations Research.

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/bf02023076.

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