  Two journal-level indicators, respectively the mean ($m^i$) and the standard
deviation ($v^i$) are proposed to be the core indicators of each journal and we
show that quite several other indicators can be calculated from those two core
indicators, assuming that yearly citation counts of papers in each journal
follows more or less a log-normal distribution. Those other journal-level
indicators include journal h index, journal one-by-one-sample comparison
citation success index $S_j^i$, journal multiple-sample $K^i-K^j$ comparison
success rate $S_{j,K^j}^{i,K^i }$, and minimum representative sizes
$\kappa_j^i$ and $\kappa_i^j$, the average ranking of all papers in a journal
in a set of journals($R^t$). We find that those indicators are consistent with
those calculated directly using the raw citation data
($C^i=\{c_1^i,c_2^i,\dots,c_{N^i}^i \},\forall i$) of journals. In addition to
its theoretical significance, the ability to estimate other indicators from
core indicators has practical implications. This feature enables individuals
who lack access to raw citation count data to utilize other indicators by
simply using core indicators, which are typically easily accessible.
