Manipulation of the H-Index by Undoing Merges

Hendrik Molter (TU Berlin)

An author's profile on Google Scholar consists of indexed articles and associated data, such as the number of citations and the H-index. The author is allowed to merge articles, which may affect the H-index. The parameterized complexity of maximizing the H-index using article merges was analysed e.g. by van Bevern et al. in their paper “H-Index Manipulation by Merging Articles: Models, Theory and Experiments”. We analyse the parameterized complexity, given an author's profile that already contains merged articles, of maximizing the H-index by partially undoing merges.

In this talk I will present the results we established so far and, since this is work in progress, also discuss gaps that are still open in the complexity landscape and that we hope to fill fairly soon.

This talk is based on joint work with René van Bevern, Christian Komusiewicz, Rolf Niedermeier, Manuel Sorge and Toby Walsh.​

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