Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index

@article{Ferrara2013ScientificIE,
  title={Scientific impact evaluation and the effect of self-citations: Mitigating the bias by discounting the h-index},
  author={Emilio Ferrara and Alfonso E. Romero},
  journal={J. Assoc. Inf. Sci. Technol.},
  year={2013},
  volume={64},
  pages={2332-2339}
}
In this article, we propose a measure to assess scientific impact that discounts self‐citations and does not require any prior knowledge of their distribution among publications. This index can be applied to both researchers and journals. In particular, we show that it fills the gap of the h‐index and similar measures that do not take into account the effect of self‐citations for authors or journals impact evaluation. We provide 2 real‐world examples: First, we evaluate the research impact of… 

Figures and Tables from this paper

Scientific impact of an author and role of self-citations
TLDR
The results show that self-citations, if totally removed from total received citations, negatively influence the AIF and H-Index values and hence can be used to artificially boost the scientific impact.
Self-Citation Analysis on Google Scholar Dataset for H-Index Corrections
TLDR
An updated h-index for Google Scholar is proposed by first quantifying and thereafter excluding the self-citations from the h- indexed, which can be used for a more accurate academic ranking of the authors and the research articles.
Impact of Self-Citations on Impact Factor: A Study Across Disciplines, Countries and Continents
TLDR
The study examines the number of research articles published across 27 major subject fields covered by SCImago, encompassing as many as 310 sub-disciplines, to evaluate the trend of self-citation and its impact on IF of all the major subject disciplines of the world, along with countries and continents.
Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location
TLDR
Evidence is provided that self-citations are free of bias in terms of citation density and polarity uncertainty, but they can be biased with respect to positivity and negativity of citations.
Analysing Author Self-citations in Computer Science Publications
TLDR
This work analyzes the prevalence of self-citations in the DBLP, a digital library for computer science, and finds that C-ranked venues have the highest incomingSelf-citation rate, while the outgoing rate is stable across all ranks.
How much is too much? The difference between research influence and self-citation excess
TLDR
This paper considers self-referencing and self-citing, describes the typical shape of self-Citation patterns for carefully curated publication sets authored by 3517 Highly Cited Researchers and quantifies the variance in the distribution ofSelf-citation rates within and between all 21 Essential Science Indicators’ fields.
P-INDEX-a fair alternative to H-INDEX
The popular Hirsch index is used as a criterion for evaluating the achievements of scientists, departments, universities, and countries. Unfortunately, this index is often unfair in view of various
Impact of country self-citations on bibliometric indicators and ranking of most productive countries
TLDR
China in total citations and United States in average citation per paper and % cited publications, were the most affected nations in rankings among all the studied nations.
Measuring the evaluation and impact of scientific works and their authors
TLDR
The influence of different circumstances, like self-citations, number of authors, time dependence and publication types, on the evaluation and impact of scientific papers are considered and the repercussion of works citations and their content is investigated.
...
...

References

SHOWING 1-10 OF 36 REFERENCES
Does self-citation pay?
TLDR
The incentives that underlie self-citation are examined by studying how authors’ references to their own works affect the citations they receive from others, and it is shown that the more one cites oneself the moreOne is cited by other scholars.
The weight of author self-citations. A fractional approach to self-citation counting
TLDR
The objective of the present paper is to quantify the weight of self-citations with respect to co-authorship at the macro level and at the meso level, for a set of selected research institutions.
Detecting h-index manipulation through self-citation analysis
TLDR
The q-index is proposed as an indicator for how strategically an author has placed self-citations, and which serves as a tool to detect possible manipulation of the h-index.
Insights into the relationship between the h -index and self-citations
TLDR
This work analyzes the publication output of 119 Chilean ecologists and finds strong evidence that self-citations significantly affect the h-index increase and shows that it is in the low h- index group where self-Citations cause the greater impact.
A simple method for excluding self-citation from the h-index: the b-index
TLDR
A new index is shown that does not require an extensive analysis of the self‐citation rates of individual papers to produce, and appropriately shows the biggest numerical decreases, as compared to the corresponding h‐index, for very high self‐citers.
The h-index and self-citations.
Coercive Citation in Academic Publishing
TLDR
Many journal editors appear to strategically target authors and papers to pressure them into citing the editors' journals, and the incentive they create for editors to coerce authors to add citations to their journal is highlighted.
The AR-index: complementing the h-index
TLDR
The AR-index is proposed as a complement of the h-index, defined as the square root of the sum of the average number of citations per year of articles included in the Hirsch core.
Insights into the relationship between the h-index and self-citations
TLDR
This work analyzes the publication output of 119 Chilean ecologists and finds strong evidence that self-citations significantly affect the h-index increase and shows that it is in the low h- index group where self-Citations cause the greater impact.
Is it possible to compare researchers with different scientific interests?
TLDR
This work has obtained the rank plots of h and h I for four Brazilian scientific communities and found the h I index rank plots collapse into a single curve allowing comparison among different research areas.
...
...