Genetic Algorithm: Review and Application

341 indexed citations

Abstract

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About

This paper, published in 2010, received 341 indexed citations. Written by Manoj Kumar and M. N. Husain covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (85 citations), Electrical and Electronic Engineering (58 citations) and Mechanical Engineering (39 citations). Published in SSRN Electronic Journal.

Countries where authors are citing Genetic Algorithm: Review and Application

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This map shows the geographic impact of Genetic Algorithm: Review and Application. 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 Algorithm: Review and Application with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic Algorithm: Review and Application more than expected).

Fields of papers citing Genetic Algorithm: Review and Application

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Genetic Algorithm: Review and Application. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic Algorithm: Review and Application.

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/10.2139/ssrn.3529843.

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