Alleles, loci and the traveling salesman problem
- Authors
- David E. GoldbergR. Lingle
- Journal
- international conference on Genetic algorithms
In The Last Decade
doi.org/w10070239 →Countries where authors are citing Alleles, loci and the traveling salesman problem
This map shows the geographic impact of Alleles, loci and the traveling salesman 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 Alleles, loci and the traveling salesman problem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alleles, loci and the traveling salesman problem more than expected).
Fields of papers citing Alleles, loci and the traveling salesman problem
This network shows the impact of Alleles, loci and the traveling salesman problem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Alleles, loci and the traveling salesman problem.
About Alleles, loci and the traveling salesman problem
This paper, published in 1985, received 479 indexed citations . Written by David E. Goldberg and R. Lingle. It is primarily cited by scholars working on Artificial Intelligence (238 citations), Industrial and Manufacturing Engineering (217 citations), Computational Theory and Mathematics (112 citations), Computer Vision and Pattern Recognition (57 citations) and Computer Networks and Communications (49 citations). Published in international conference on Genetic algorithms.
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/w10070239.