  A recent independent study resulted in a ranking system which ranked
Astronomy and Computing (ASCOM) much higher than most of the older journals
highlighting its niche prominence. We investigate the notable ascendancy in
reputation of ASCOM by proposing a novel differential equation based modeling.
The modeling is a consequence of knowledge discovery from big data methods,
namely L1-SVD. We propose a growth model by accounting for the behavior of
parameters that contribute to the growth of a field. It is worthwhile to spend
some time in analyzing the cause and control variables behind rapid rise in the
reputation of a journal in a niche area. We intend to identify and probe the
parameters responsible for its growing influence. Delay differential equations
are used to model the change of influence on a journal's status by exploiting
the effects of historical data. The manuscript justifies the use of implicit
control variables and models those accordingly that demonstrate certain
behavior in the journal influence.
