  Bibliographic metrics are commonly utilized for evaluation purposes within
academia, often in conjunction with other metrics. These metrics vary widely
across fields and change with the seniority of the scholar; consequently, the
only way to interpret these values is by comparison with other academics within
the same field who are of similar seniority. Among the field- and time-
normalized indicators, rank percentile has grown in popularity, and it is
preferred over other types of indicators. In this paper, we propose and justify
a novel rank percentile indicator for scholars. Furthermore, we emphasize on
the time factor that is built into the rank percentile, and we demonstrate that
the rank percentile is highly predictable. The publication percentile is highly
stable over time, while the scholar percentile exhibits short-term stability
and can be predicted via a simple linear regression model. More advanced models
that utilize extensive lists of features offer slightly superior performance;
however, the simplicity and interpretability of the simple model impose
significant advantages over the additional complexity of other models.
