Niching methods for genetic algorithms

600 indexed citations
published 1996

In The Last Decade

doi.org/w36322629 →

Countries where authors are citing Niching methods for genetic algorithms

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This map shows the geographic impact of Niching methods for genetic 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 Niching methods for genetic algorithms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niching methods for genetic algorithms more than expected).

Fields of papers citing Niching methods for genetic algorithms

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Niching methods for genetic algorithms. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Niching methods for genetic algorithms.

About Niching methods for genetic algorithms

This paper, published in 1996, received 600 indexed citations . Written by Samir W. Mahfoud covering the research area of Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (410 citations), Computational Theory and Mathematics (249 citations) and Electrical and Electronic Engineering (47 citations).

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/w36322629.

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