Social inequality is traditionally measured by the Gini-index (g). The
g-index takes values from 0 to 1 where g=0 represents complete equality
and g=1 represents complete inequality. Most of the estimates of the income
or wealth data indicate the g value to be widely dispersed across the
countries of the world: \textit{g} values typically range from 0.30 to 0.65
at a particular time (year). We estimated similarly the Gini-index for the
citations earned by the yearly publications of various academic institutions
and the science journals. The ISI web of science data suggests remarkably
strong inequality and universality (g=0.70±0.07) across all the
universities and institutions of the world, while for the journals we find
g=0.65±0.15 for any typical year. We define a new inequality measure,
namely the k-index, saying that the cumulative income or citations of (1−k)
fraction of people or papers exceed those earned by the fraction (k) of the
people or publications respectively. We find, while the k-index value for
income ranges from 0.60 to 0.75 for income distributions across the world,
it has a value around 0.75±0.05 for different universities and institutions
across the world and around 0.77±0.10 for the science journals. Apart from
above indices, we also analyze the same institution and journal citation data
by measuring Pietra index and median index.Comment: 5 pages, 3 figure