h-Index Manipulation by Undoing Merges
نویسندگان
چکیده
The h-index is an important bibliographic measure used to assess the performance of researchers. Van Bevern et al. [Artif. Intel., to appear] showed that, despite computational worst-case hardness results, substantial manipulation of the h-index of Google Scholar author profiles is possible by merging articles. Complementing this work, we study the opposite operation, the splitting of articles, which is arguably the more natural operation for manipulation and which is also allowed within Google Scholar. We present numerous results on computational complexity (from linear-time algorithms to parameterized computational hardness results) and empirically indicate that at least small improvements of the h-index by splitting merged articles are easily achievable.
منابع مشابه
H-Index Manipulation by Merging Articles: Models, Theory, and Experiments
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. We analyze the parameterized complexity of maximizing the H-index using article merges. Herein, to model realistic manipulation scenarios, we define a compatability graph whose edges corres...
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