Out now: Momeni, Mayr, Dietze: Investigating the contribution of author- and publication-specific features to scholars’ h-index prediction


Categories: GESIS-News

Momeni, F., Mayr, P. & Dietze, S. Investigating the contribution of author- and publication-specific features to scholars’ h-index prediction. EPJ Data Sci. 12, 45 (2023). https://doi.org/10.1140/epjds/s13688-023-00421-6

Evaluation of researchers’ output is vital for hiring committees and funding bodies, and it is usually measured via their scientific productivity, citations, or a combined metric such as the h-index. Assessing young researchers is more critical because it takes a while to get citations and increment of h-index. Hence, predicting the h-index can help to discover the researchers’ scientific impact. In addition, identifying the influential factors to predict the scientific impact is helpful for researchers and their organizations seeking solutions to improve it.

This study investigates the effect of the author, paper/venue-specific features on the future h-index.