Author Impact Factor: tracking the dynamics of individual scientific impact

@article{Pan2014AuthorIF,
  title={Author Impact Factor: tracking the dynamics of individual scientific impact},
  author={Raj Kumar Pan and Santo Fortunato},
  journal={Scientific Reports},
  year={2014},
  volume={4}
}
The impact factor (IF) of scientific journals has acquired a major role in the evaluations of the output of scholars, departments and whole institutions. Typically papers appearing in journals with large values of the IF receive a high weight in such evaluations. However, at the end of the day one is interested in assessing the impact of individuals, rather than papers. Here we introduce Author Impact Factor (AIF), which is the extension of the IF to authors. The AIF of an author A in year t is… 
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104 Citations
Highly Influential Citations
13
Background Citations
42
Methods Citations
13
Results Citations
2

104 Citations

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.
Comparison of researchers’ impact indices
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Results show that there is a low correlation of these indices with h-index, and in identifying exceptional performers of a field these indices perform better than h- index.
Measuring the impact of scholarly journals in the humanities field
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The ‘selectivity of journals in their choice of papers for publication’, and the ‘journal diffusion’ are sensitive and useful indicators, which can be used in conjunction with the classical impact indicators already available in order to evaluate the role of the journals.
Impact Metrics : Variety , Value , and Context
Numerous quantitative indicators are currently available for evaluating research productivity. No single metric is suitable for comprehensive evaluation of the author-level impact. The choice of…
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Are we at a turning point in journal assessment? An introduction to altmetrics
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TLDR
It is fair to conclude that since research outputs have shown to have an impact well beyond academia, it may be time to reconsider how journals should be assessed in the near future.
Impact Factor of a Term: a Tool for Assessing Article's Future Citations and Author's Influence Based on PubMed and DBLP Collections
This article describes a new bibliometric indicator called Impact Factor of a Term (IFT) that helps to predict future impact of scientific works and/or the author. The predictive properties of IFT…
A skeptical view on the Hirsch index and its predictive power
The h-index was proposed by Hirsch in 2005. It is now often used as a measure of scientific performance of individual researchers. Assuming that it has predictive power, the index is even considered…
Suitability of h- and x-indices for evaluating authors’ individual research achievements in a given short period of years
TLDR
The h-index demonstrated that it had the least relation to other metrics and failed to differentiate authors’ IRAs among groups, particularly in a short time period, while the x-index combined with the Kano map is recommended in research for a better understanding of the authors' IRAs in other journals or disciplines.
Impact, impact, impact
TLDR
The impact factor, that journal metric the authors love to hate, that metric that simply will not go away, should be considered as a surrogate measure of the quality of individual research articles, to assess an individual scientist's contributions, or in hiring, promotion, or funding decisions.
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