An index to quantify an individual's scientific research output
TLDR
The index h, defined as the number of papers with citation number ≥h, is proposed as a useful index to characterize the scientific output of a researcher.Abstract:
I propose the index h, defined as the number of papers with citation number ≥h, as a useful index to characterize the scientific output of a researcher.read more
Citations
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Business intelligence and analytics: from big data to big impact
TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
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bibliometrix: An R-tool for comprehensive science mapping analysis
Massimo Aria,Corrado Cuccurullo +1 more
TL;DR: This paper proposes a unique open-source tool, designed by the authors, called bibliometrix, for performing comprehensive science mapping analysis, programmed in R, and can be rapidly upgraded and integrated with other statistical R-packages.
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Big Data: A Survey
Min Chen,Shiwen Mao,Yunhao Liu +2 more
TL;DR: The background and state-of-the-art of big data are reviewed, including enterprise management, Internet of Things, online social networks, medial applications, collective intelligence, and smart grid, as well as related technologies.
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Theory and practise of the g-index
TL;DR: 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.
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Bibliometrics: The Leiden Manifesto for research metrics
TL;DR: Zehn Grundsatze um Forschung zu bewerten, drangen Diana Hicks, Paul Wouters und Kollegen einiges zusammen wirkt.
References
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Stretched exponential distributions in nature and economy: ``fat tails'' with characteristic scales
Jean Laherrere,Didier Sornette +1 more
TL;DR: In this paper, the authors proposed the stretched exponential family as a complement to the often used power law distributions, which has many advantages, among which to be economical with only two adjustable parameters with clear physical interpretation.
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Sleeping Beauties in science
TL;DR: The first extensive measurement of the occurrence of Sleeping Beauties in the science literature is reported, derived from the measurements an ‘awakening’ probability function and identified the ‘most extreme Sleeping Beauty so far’.