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Dynamics of the scientific publications by Google Scholar

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The above "motion graph" was build using "Google spreadsheet", extracting data out of "Google Scholar" with the Harzing "Publish or Perish" [1] software. The sample represent the scientific searchers of the 71 CNU section researchers that were promoted to "exceptional professor", during the 2007-2011 CNU campaign. The results where collected with the name "as it is". When flagrant homonimy was detected, an automatic improvement was performed, using google scholar subject areas. This indicator seems simple, but it is a very complex indicator, thus the number of scientific articles considered by Google scolar is the result of a large list of factors (i.e. number os publications, of course, but there are many factors influencing the consideration of the publication by google scholar). The complexity augment for the citation. Both G-Index [2] and Age-Weighted Citation Rate (AWCR) [3] were computed by the Harzing software. As any complex indicators they only make sence when the analyzed sample is homogenous. More homogenous is the sample, more accurate is the indicator and more it can be used to try to understand the differences. As any scientific indicator it must be used in a constructive way (i.e. to understand, improve) and not in a restrictive way for coercion. This study could be extended to several analysis like "the exceptional professors", "all the promotion candidates", "all the CNU members" or the "members of a research team".

  1. Harzing, A.W. (2007) Publish or Perish, available from http://www.harzing.com/pop.htm
  2. Leo Egghe Theory and practice of the g-index, Scientometrics, Vol. 69, No 1 (2006), pp. 131-152
  3. Bihui Jin The AR-index: complementing the h-index, ISSI Newsletter, 2007, 3(1), p. 6.
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