Only multidimensional analyses can provide overviews of complex relationshi
ps among many variables. We have previously illustrated the use of Correspo
ndence Factor Analysis (CFA) in the analysis of publication profiles. In th
is article, we retrace our activity in patent analysis from the late 1970s
to the present day and show how CFA is a particularly useful tool not only
for describing the correlations between countries and technological Fields
but also for highlighting non-linear patenting time trends.