Detecting h-index manipulation through self-citation analysis

@article{Bartneck2010DetectingHM,
  title={Detecting h-index manipulation through self-citation analysis},
  author={Christoph Bartneck and Servaas Kokkelmans},
  journal={Scientometrics},
  year={2010},
  volume={87},
  pages={85 - 98}
}
The h-index has received an enormous attention for being an indicator that measures the quality of researchers and organizations. [] Key Method We extended Burrell’s publication model with a procedure for placing self-citations, following three different strategies: random self-citation, recent self-citations and h-manipulating self-citations. The results show that authors can considerably inflate their h-index through self-citations. We propose the q-index as an indicator for how strategically an author has…
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References

SHOWING 1-10 OF 24 REFERENCES
A macro study of self-citation
TLDR
This study investigates the role of self-citation in the scientific production of Norway (1981-1996) and finds that 36% of all citations represent author self-Citations, however, this percentage is decreasing when citations are traced for longer periods.
Self-citation corrections for the Hirsch index
I propose to sharpen the index h, suggested by Hirsch as a useful index to characterize the scientific output of a researcher, by excluding the self-citations. Performing a self-experiment and also
A bibliometric approach to the role of author self-citations in scientific communication
TLDR
The results characterise author self-citations - at least at the macro level - as an organic part of the citation process obeying rules that can be measured and described with the help of mathematical models and can be used in evaluative micro and meso analyses to identify significant deviations from the reference standards.
Hirsch's h-index: A stochastic model
Theory and practise of the g-index
TLDR
It is shown that the g-index inherits all the good properties of the h-index and better takes into account the citation scores of the top articles and yields a better distinction between and order of the scientists from the point of view of visibility.
A multidimensional extension to Hirsch’s h-index
TLDR
A multidimensional extension of the h index in which the conventional h is only the first component is proposed, and it is shown that individuals with the same h can indeed be distinguished by their values in the remaining components.
Is there a place for a mock h-index?
TLDR
This paper proposes another mock h-index which may complement the h- index and give it better resolving power and is based on ideas from mathematical modeling.
Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar
TLDR
Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals.
Predictive Aspects of a Stochastic Model for Citation Processes
A stochastic model for the ageing of scientific literature
TLDR
The life-time distribution, special probabilities and mean value functions are used to characterize differences in the ageing structure of scientific literature, the change of citation impact in time and to analyse predictive aspects of reception processes.
...
...