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In the year 2005 Jorge Hirsch introduced the h index for quantifying theresearch output of scientists. Today, the h index is a widely acceptedindicator of research performance. The h index has been criticized for itsinsufficient reliability - the ability to discriminate reliably betweenmeaningful amounts of research performance. Taking as an example an extensivedata set with bibliometric data on scientists working in the field of molecularbiology, we compute h2 lower, h2 upper, and sRM values and present them ascomplementary approaches that improve the reliability of the h index researchperformance measurement.

New approaches for increasing the reliability of the h index research performance measurement