Research output: Contribution to journal › Article › peer-review
H-index manipulation by undoing merges. / van Bevern, René; Komusiewicz, Christian; Molter, Hendrik et al.
In: Quantitative Science Studies, Vol. 1, No. 4, 01.12.2020, p. 1529-1552.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - H-index manipulation by undoing merges
AU - van Bevern, René
AU - Komusiewicz, Christian
AU - Molter, Hendrik
AU - Niedermeier, Rolf
AU - Sorge, Manuel
AU - Walsh, Toby
N1 - Funding Information: We acknowledge support by the Open Access Publication Fund of TU Berlin. René van Bevern was supported by Mathematical Center in Akademgorodok, agreement No. 075-15-2019-1675 with the Ministry of Science and Higher Education of the Russian Federation. Hendrik Molter was supported by the DFG, projects DAPA (NI 369/12) and MATE (NI 369/17). Manuel Sorge was supported by the DFG, project DAPA (NI 369/12), by the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement number 631163.11, the Israel Science Foundation (grant no. 551145/14), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement number 714704. Toby Walsh was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement number 670077. Publisher Copyright: © 2020 René van Bevern, Christian Komusiewicz, Hendrik Molter, Rolf Niedermeier, Manuel Sorge, and Toby Walsh.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - The h-index is an important bibliographic measure used to assess the performance of researchers. Dutiful researchers merge different versions of their articles in their Google Scholar profile even though this can decrease their h-index. In this article, we study the manipulation of the h-index by undoing such merges. In contrast to manipulation by merging articles, such manipulation is harder to detect. 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 unfortunately easily achievable.
AB - The h-index is an important bibliographic measure used to assess the performance of researchers. Dutiful researchers merge different versions of their articles in their Google Scholar profile even though this can decrease their h-index. In this article, we study the manipulation of the h-index by undoing such merges. In contrast to manipulation by merging articles, such manipulation is harder to detect. 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 unfortunately easily achievable.
KW - Article splitting
KW - Citation graph
KW - Experimental algorithmics
KW - Google Scholar profiles
KW - NP-hard problems
KW - Parameterized complexity
UR - http://www.scopus.com/inward/record.url?scp=85114834538&partnerID=8YFLogxK
U2 - 10.1162/qss_a_00093
DO - 10.1162/qss_a_00093
M3 - Article
AN - SCOPUS:85114834538
VL - 1
SP - 1529
EP - 1552
JO - Quantitative Science Studies
JF - Quantitative Science Studies
SN - 2641-3337
IS - 4
ER -
ID: 34570383