  The distinction between sciences is becoming increasingly more artificial --
an approach from one area can be easily applied to the other. More exciting
research nowadays is happening perhaps at the interfaces of disciplines like
Physics, Mathematics and Computer Science. How do these interfaces emerge and
interact? For instance, is there a specific pattern in which these fields cite
each other? In this article, we investigate a collection of more than 1.2
million papers from three different scientific disciplines -- Physics,
Mathematics, and Computer Science. We show how over a timescale the citation
patterns from the core science fields (Physics, Mathematics) to the applied and
fast-growing field of Computer Science have drastically increased. Further, we
observe how certain subfields in these disciplines are shrinking while others
are becoming tremendously popular. For instance, an intriguing observation is
that citations from Mathematics to the subfield of machine learning in Computer
Science in recent times are exponentially increasing.
