Google Scholar Metrics h5-index correlated with Impact Factor

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Michael O'Neill",
  title =        "{Google Scholar} Metrics h5-index correlated with
                 Impact Factor",
  journal =      "Tiny Transactions on Computer Science",
  year =         "2012",
  volume =       "1",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "1 page",
  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.",
  notes =        "abstract approx 100 times size of text cites

Genetic Programming entries for Michael O'Neill