Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence

Andrea De Lorenzo, Alberto Bartoli, Mauro Castelli, Eric Medvet, Bing Xue

Research output: Contribution to journalArticle

1 Citation (Scopus)
6 Downloads (Pure)

Abstract

In this work we present an extensive bibliometric and content-based analysis of the scientific literature about genetic programming in the twenty-first century. Our work has two key peculiarities. First, we revealed the topics emerging from the literature based on an unsupervised analysis of the textual content of titles and abstracts. Second, we executed all of our analyses twice, once on the papers published in the venues that are typical of the evolutionary computation research community and once on those published in all the other venues. This view from “both sides of the fence” allows us to gain broader and deeper insights into the actual contributions of our community.

Original languageEnglish
Pages (from-to)181–204
Number of pages24
JournalGenetic Programming And Evolvable Machines
Volume21
Issue number1-2
Early online date27 Jul 2019
DOIs
Publication statusPublished - 1 Jun 2020

Keywords

  • Bibliometrics
  • Genetic programming
  • Literature review
  • Publication habits
  • Topic modeling

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