  Understanding the qualitative patterns of research endeavor of scientific
authors in terms of publication count and their impact (citation) is important
in order to quantify success trajectories. Here, we examine the career profile
of authors in computer science and physics domains and discover at least six
different success trajectories in terms of normalized citation count in
longitudinal scale. Initial observations of individual trajectories lead us to
characterize the authors in each category. We further leverage this trajectory
information to build a two-stage stratification model to predict future success
of an author at the early stage of her career. Our model outperforms the
baseline with an average improvement of 15.68% for both the datasets.
