  A recent independent study resulted in a ranking system which ranked
Astronomy and Computing (ASCOM) much higher than most of the older journals
highlighting the niche prominence of the particular journal. We investigate the
remarkable ascendancy in reputation of ASCOM by proposing a novel differential
equation based modeling. The Modeling is a consequence of knowledge discovery
from big data-centric methods, namely L1-SVD. The inadequacy of the ranking
method in explaining the reason behind the growth in reputation of ASCOM is
reasonable to understand given that the study was post-facto. Thus, 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 analysing the
cause and control variables behind rapid rise in reputation of a journal in a
niche area. We intent to probe and bring out 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.
