Google Scholar Metrics h5-index correlated with Impact Factor
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @Article{ONeill:2012:TinyTOCSGSMhCwIF,
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author = "Michael O'Neill",
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title = "{Google Scholar} Metrics h5-index correlated with
Impact Factor",
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journal = "Tiny Transactions on Computer Science",
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year = "2012",
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volume = "1",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://tinytocs.org/vol1/",
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URL = "http://tinytocs.org/vol1/papers/tinytocs-v1-oneill.pdf",
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size = "1 page",
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abstract = "A number of rankings of Computer Science Conferences
and Journals exist (e.g., CORE), however issues exist
with these rankings, such as they are ageing rapidly,
they are not actively updated, and there are
differences in their methodologies and resulting
rankings making them difficult to compare. A recent
addition to the resources available to researchers
evaluating the impact of their publications is Google
Scholar Metrics. With this tool we can probe the impact
of different publication venues (Conferences and
Journals) according to citations using their five year
h-index (h5-index) and five year h-median (h5-median).
We present an analysis of different publication venues
across the related fields of Artificial Intelligence,
Machine Learning and Natural Computing amongst others,
based upon Google Scholar Metrics and journal impact
factors. A positive correlation is found between the
h5-index (2007-2011) and impact factors (2010), and an
overall ranking of the different venues finds that a
number of top conferences in these fields have h5-index
values equivalent, and in some cases superior to, the
fields leading journals. Based on our analysis it is
clear that publication in the top conference venues is
of great importance in these fields, having similar
impact to publication in journals. In times of
multi-disciplinary research conveying this message
(i.e., the relative importance of conference
publication) to colleagues in other disciplines can be
a challenge, and hopefully studies such as this will
help to convey this message.",
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notes = "abstract approx 100 times size of text cites
\cite{UCD-CSI-2012-02}",
- }
Genetic Programming entries for
Michael O'Neill
Citations