What can bibliometrics contribute to understanding research productivity?

Measuring academic research productivity is a formidable task, mainly because of the lack of data on inputs. Most of the bibliometric approaches proposed to get around the problem are questionable since they are based on assumptions that invalidate them as supports for policy or management decisions. This essay presents a proxy bibliometric indicator of research productivity that overcomes most of the assumptions and limits that affect the more popular indicators.