Van Bevern, R., Komusiewicz, C., Niedermeier, R., Sorge, M., & Walsh, T. (2014). On Google Scholar H-Index Manipulation by Merging Articles. arXiv preprint arXiv:1412.5498
Google Scholar allows merging multiple article versions into one. This merging affects the H-index computed by Google Scholar. The parameterized complexity of maximizing the H-index using article merges is analized. Multiple possible measures for computing the citation count of a merged article are considered.
Two ways of measuring the number of citations of a merged article are proposed. One of these two new measures seems to be the one actually used by Google Scholar. Second, a model for restricting the set of posible merge operations is also proposed. Although Google Scholar allows merges between arbitrary articles, such a restriction is still motivated: even an untruthful scientist may try to merge only superficially similar articles in order to conceal the
manipulation. The variant in which only a limited number of merges may be applied in order to achieve a desired H-index are also considered. This is again motivated by the fact that an untruthful scientist may try to conceal the manipulation by performing only few changes to the own profile.