Genetic programming as a means for programming computers by natural selection

1.0k indexed citations

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This paper, published in 1994, received 1.0k indexed citations. Written by J. R. Koza covering the research area of Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (431 citations), Civil and Structural Engineering (155 citations) and Computational Theory and Mathematics (142 citations). Published in Statistics and Computing.

Countries where authors are citing Genetic programming as a means for programming computers by natural selection

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This map shows the geographic impact of Genetic programming as a means for programming computers by natural selection. 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 Genetic programming as a means for programming computers by natural selection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic programming as a means for programming computers by natural selection more than expected).

Fields of papers citing Genetic programming as a means for programming computers by natural selection

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Genetic programming as a means for programming computers by natural selection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic programming as a means for programming computers by natural selection.

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/bf00175355.

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