We have developed a set of routines that allows to draw easily different maps of the research carried out in a scientific institution. Our toolkit uses OpenSource elements to analyze bibliometric data gathered from the Web Of Science. We take the example of our institution, ENS de Lyon, to show how different maps, using co-occurrence (of authors, keywords, institutions…) and bibliographic coupling can be built. These maps may become a valuable tool for discussing institutions’ policies, as they offer different views on the institution at a global scale.
Authors:Pablo Jensen, Jean-Baptiste Rouquier, and Yves Croissant
We have developed a method to obtain robust quantitative bibliometric indicators for several thousand scientists. This allows
us to study the dependence of bibliometric indicators (such as number of publications, number of citations, Hirsch index...)
on the age, position, etc. of CNRS scientists. Our data suggests that the normalized h-index (h divided by the career length) is not constant for scientists with the same productivity but different ages.
We also compare the predictions of several bibliometric indicators on the promotions of about 600 CNRS researchers. Contrary
to previous publications, our study encompasses most disciplines, and shows that no single indicator is the best predictor
for all disciplines. Overall, however, the Hirsch index h provides the least bad correlations, followed by the number of papers published. It is important to realize however that
even h is able to recover only half of the actual promotions. The number of citations or the mean number of citations per
paper are definitely not good predictors of promotion.
Due to space constraints, this paper is a short version of a more detailed article. [JENSEN & AL., 2008B]