Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{DeLorenzo:GPEM20,
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author = "Andrea {De Lorenzo} and Alberto Bartoli and
Mauro Castelli and Eric Medvet and Bing Xue",
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title = "Genetic programming in the twenty-first century: a
bibliometric and content-based analysis from both sides
of the fence",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2020",
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volume = "21",
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number = "1-2",
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pages = "181--204",
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month = jun,
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note = "Twentieth Anniversary Issue",
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keywords = "genetic algorithms, genetic programming,
Bibliometrics, Topic modelling, Literature review,
Publication habits",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-019-09363-3",
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size = "24 pages",
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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.",
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notes = "Google Scholar, Scopus 10233 documents, SPECIES
website, Latent Dirichlet Allocation, TF-IDF",
- }
Genetic Programming entries for
Andrea De Lorenzo
Alberto Bartoli
Mauro Castelli
Eric Medvet
Bing Xue
Citations