Genetic Programming and Evolvable Machines

11.3k citations
526 papers · indexed · active since 1950
Topics
Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms

In The Last Decade

Genetic Programming and Evolvable Machines

448 papers receiving 9.5k citations

Peers

Genetic Programming and Evolvable Machines
Comparison fields: 5 of 198
  • Artificial Intelligence 7.2k
  • Molecular Biology 2.5k
  • Computational Theory and Mathematics 1.9k
  • Biomedical Engineering 911
  • Electrical and Electronic Engineering 831
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Countries where authors publish in Genetic Programming and Evolvable Machines

Since Specialization
Citations

This map shows the geographic impact of research published in Genetic Programming and Evolvable Machines. 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 papers published in Genetic Programming and Evolvable Machines 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 and Evolvable Machines more than expected).

Fields of papers published in Genetic Programming and Evolvable Machines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Genetic Programming and Evolvable Machines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Genetic Programming and Evolvable Machines.

About Genetic Programming and Evolvable Machines

The 526 papers published in Genetic Programming and Evolvable Machines in the last decades have received a total of 11.3k indexed citations . Papers published in Genetic Programming and Evolvable Machines usually cover Artificial Intelligence (391 papers), Computational Theory and Mathematics (73 papers) and Molecular Biology (133 papers) specifically the topics of Evolutionary Algorithms and Applications (337 papers), Metaheuristic Optimization Algorithms Research (243 papers) and Advanced Multi-Objective Optimization Algorithms (54 papers). The most active scholars publishing in Genetic Programming and Evolvable Machines are Jeff Heaton, Kenneth O. Stanley, Carlos A. Coello Coello, Colin R. Reeves, William B. Langdon, John R. Koza, Michael O’Neill, Leonardo Vanneschi, Krzysztof Krawiec and Wolfgang Banzhaf.

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.

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