Genetic Algorithms in Search, Optimization and Machine Learning
- Authors
- David E. Goldberg
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w72332879 →Countries where authors are citing Genetic Algorithms in Search, Optimization and Machine Learning
This map shows the geographic impact of Genetic Algorithms in Search, Optimization and Machine Learning. 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 Algorithms in Search, Optimization and Machine Learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic Algorithms in Search, Optimization and Machine Learning more than expected).
Fields of papers citing Genetic Algorithms in Search, Optimization and Machine Learning
This network shows the impact of Genetic Algorithms in Search, Optimization and Machine Learning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic Algorithms in Search, Optimization and Machine Learning.
About Genetic Algorithms in Search, Optimization and Machine Learning
This paper, published in 1988, received 12.7k indexed citations . Written by David E. Goldberg. It is primarily cited by scholars working on Artificial Intelligence (4.4k citations), Electrical and Electronic Engineering (1.9k citations) and Computational Theory and Mathematics (1.8k citations). Published in CERN Document Server (European Organization for Nuclear 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/w72332879.