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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.

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The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index

TL;DR: It is problematic that SCI has been used and is used as the dominant source for science indicators based on publication and citation numbers, because the declining coverage of the citation databases problematizes the use of this source.
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A review of the literature on citation impact indicators

TL;DR: In this paper, an in-depth review of the literature on citation impact indicators is provided, focusing on the selection of publications and citations to be included in the calculation of citation impact indicator.
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Quantifying long-term scientific impact.

TL;DR: A mechanistic model is derived for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern.
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h-Index: A review focused in its variants, computation and standardization for different scientific fields

TL;DR: This contribution presents a comprehensive review on the h-index and related indicators field, studying their main advantages, drawbacks and the main applications that can be found in the literature.
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Multi-University Research Teams: Shifting Impact, Geography, and Stratification in Science

TL;DR: It is found that multi-university collaborations are the fastest growing type of authorship structure, produce the highest-impact papers when they include a top-tier university, and are increasingly stratified by in-group university rank.
References
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Journal ArticleDOI

Stretched exponential distributions in nature and economy: ``fat tails'' with characteristic scales

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’.
Journal ArticleDOI

Capturing the Wisdom of Feynman

Matthew Sands
- 01 Apr 2005 - 
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