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Scientometrics
Authors: Monika Henzinger, Jacob Suñol, and Ingmar Weber

Abstract  

Over the last years the h-index has gained popularity as a measure for comparing the impact of scientists. We investigate if ranking according to the h-index is stable with respect to (i) different choices of citation databases, (ii) normalizing citation counts by the number of authors or by removing self-citations, (iii) small amounts of noise created by randomly removing citations or publications and (iv) small changes in the definition of the index. In experiments for 5,283 computer scientists and 1,354 physicists we show that although the ranking of the h-index is stable under most of these changes, it is unstable when different databases are used. Therefore, comparisons based on the h-index should only be trusted when the rankings of multiple citation databases agree.

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of the total number of citations. In addition, important biases are introduced by large collaborations that collect many citations derived from the work of a large number of researchers. The h -index (Hirsch 2005 ) tries to solve these

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Abstract  

The h-index has captured the imagination of scientometricians and bibliometricians to such an extent that one can now divide the history of the subject virtually into a pre-Hirsch and a post-Hirsch period. Beyond its academic value, it is now used as a tool for research assessment of individuals, research faculties and institutions and even for comparing performance of journals and countries. Since its introduction, many Hirsch-type variants have been proposed to overcome perceived limitations of the original index. In this paper, using ideas from mathematical modeling, another mock h-index is proposed which may complement the h-index and give it better resolving power.

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In Schubert ( 2009 ), A. Schubert introduced the so-called single publication H -index. It is defined as follows: track all articles that cite this single publication and put them in decreasing order of citations they received. Then the

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Abstract  

The h-index and Eigenfactor TM values of top and specialized scientific/engineering journals are tabulated and combined to provide a simple graphical representation of the journals. The information may be tailored to specific uses by respective stakeholders to aid decision making processes with regards to scholarly research and scientific journal publications.

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Introduction Since the publication of Hirsch's paper in 2005 that proposes what is now called the ‘ h -index’ as a way to quantify an individual's research performance, many other metrics have been developed and promoted as

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the issues of impact factor, the h -index, the ranking of scholarly journals, and the use of databases and search methods for calculating the various performance indicators (Vanclay 2008a , 2008b , 2011 , 2012 ). As a shorthand, the

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Abstract  

The h-index is a recent metric that captures a scholar’s influence. In the current work, it is used to: (1) obtain the h-index scores of the most productive scholars in the Journal of Consumer Research (JCR), and compare these to other elite scholars (including those of the other three premier marketing journals); (2) demonstrate the relationship between the h-indices and total number of citations of the top JCR producers; (3) examine the h-indices of Ferber winners (best interdisciplinary paper based on a doctoral dissertation published in JCR in a given year) and those having received honorable mentions; (4) explore the relationship between a marketing journal’s prestige and the corresponding h-index score of its editor. These varied analyses demonstrate the multitudinous ways in which the h-index can be used when investigating bibliometric phenomena within a given discipline.

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publications, assessing the impact of research often relied on the count of citations received. In 2005, Hirsch [ 9 ] proposed the h -index, which tries to bring productivity and impact into a balance. It is hard to underestimate the effect that his

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Introduction The single publication H- index was introduced in Schubert ( 2009 ), for assessing single publications. Its definition is as follows. For a fixed publication, consider all publications that cite this fixed

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