Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We develop a new way to incorporate prior information within an Information-Theoretic (IT) estimation framework. The estimator considers many potential priors and uses a simple statistic to choose the optimal solution. Our method outperforms its competitors for all finite data.