Core journals and elite subsets in scientometrics

The core journals in scientometrics were determined by the frequency of papers in journals in the elite publication subsets (i.e. most frequently cited publications) of Price medallists. It is supposed that scientometric impact indicators derived from elite subsets may represent the impact of total publication activity more appropriately than the indices referring to whole sets. It is assumed further that prominent scientists publish their papers of potentially high impact in the leading journals of the field. The size of the elite subsets was determined by h, π, πv, MCR, and HCP-statistics. MCR is the mean citation rate of publications in a total set, whereas HCP means here papers at least with 100 citations. According to MCR or HCP statistics those papers belong to the corresponding elite subset of which citation frequency is equal to or higher than the mean of the corresponding set or 100, resp. The combined set of papers in 11 core journals of scientometrics was analysed. The number of papers in the elite subsets and their mean citation rate was calculated. The size of the studied elite subsets ranges from 30 to 225. The mean citation rate of the journal papers in the different elite subsets was found to decrease as the size of the elite subset increased. The publications in the field of “scientometrics” were collected also by keywords: scientometric, bibliometric, informetric, and webometric, from WoS. The mean citation rate of papers in the elite subsets was found significantly higher for those published in journals covering non-scientometric topics (e.g. Nature, Science, British Medical Journal, PLOS One, etc.). The high rate of papers in the elite subsets published by Price medallists may validate the selection of these sets for evaluation purposes. In most cases, any of the studied elite subsets may be used for publication evaluation.

[1]  Peter Vinkler,et al.  The size and impact of the elite set of publications in scientometric assessments , 2016, Scientometrics.

[2]  Michael Schreiber,et al.  Twenty Hirsch index variants and other indicators giving more or less preference to highly cited papers , 2010, ArXiv.

[3]  Peter Vinkler Quantity and impact through a single indicator , 2013, J. Assoc. Inf. Sci. Technol..

[4]  M. Schreiber,et al.  Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators , 2012, J. Informetrics.

[5]  Juan E. Iglesias,et al.  Scaling the h-index for different scientific ISI fields , 2006, Scientometrics.

[6]  M. Erfanmanesh,et al.  How Winning an International Scientific Award Affects Publishing Behavior of Laureates: the Case of Derek de Solla Price Medal in Scientometrics , 2018, Publishing Research Quarterly.

[7]  Rahim Alijani,et al.  Scientometric Analysis of the Scientometric Literature , 2012 .

[8]  Peter Vinkler,et al.  The π-index: a new indicator for assessing scientific impact , 2009, J. Inf. Sci..

[9]  Concepción S. Wilson,et al.  The Literature of Bibliometrics, Scientometrics, and Informetrics , 2001, Scientometrics.

[10]  Peter Vinkler,et al.  An attempt for defining some basic categories of scientometrics and classifying the indicators of evaluative scientometrics , 2001, Scientometrics.

[11]  Lutz Bornmann,et al.  How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations , 2013, Scientometrics.

[12]  Peter Vinkler,et al.  The ź-index , 2009 .

[13]  Peter Vinkler,et al.  Core indicators and professional recognition of scientometricians , 2017, J. Assoc. Inf. Sci. Technol..

[14]  Reinier Plomp,et al.  The significance of the number of highly cited papers as an indicator of scientific prolificacy , 1990, Scientometrics.

[15]  Lutz Bornmann,et al.  A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants , 2011, J. Informetrics.

[16]  L. Egghe,et al.  Theory and practise of the g-index , 2006, Scientometrics.

[17]  Loet Leydesdorff,et al.  The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits , 2012, J. Informetrics.

[18]  Peter Vinkler,et al.  Eminence of scientists in the light of the h-index and other scientometric indicators , 2007, J. Inf. Sci..

[19]  Peter Vinkler,et al.  The Evaluation of Research by Scientometric Indicators , 2010 .

[20]  Peter Vinkler,et al.  Model for quantitative selection of relative scientometric impact indicators , 1996, Scientometrics.

[21]  D. Aksnes CHARACTERISTICS OF HIGHLY CITED PAPERS , 2003 .

[22]  Peter Vinkler,et al.  The πv-index: a new indicator to characterize the impact of journals , 2010, Scientometrics.

[23]  Loet Leydesdorff,et al.  Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers , 2012, Scientometrics.

[24]  Birger Larsen,et al.  A review of the characteristics of 108 author-level bibliometric indicators , 2014, Scientometrics.

[25]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[26]  Enrique Orduña-Malea,et al.  The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley & Twitter , 2016, ArXiv.

[27]  A. Schubert,et al.  Literature of Analytical Chemistry: A Scientometric Evaluation , 1986 .

[28]  Zhou Chunlei,et al.  Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis , 2018, Scientometrics.

[29]  R. Todeschini,et al.  Handbook of Bibliometric Indicators: Quantitative Tools for Studying and Evaluating Research , 2016 .

[30]  Leo Egghe,et al.  Dynamic h-index: The Hirsch index in function of time , 2007, J. Assoc. Inf. Sci. Technol..

[31]  Loet Leydesdorff,et al.  The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations , 2014, J. Informetrics.

[32]  Per O. Seglen,et al.  The Skewness of Science , 1992, J. Am. Soc. Inf. Sci..

[33]  Peter Vinkler,et al.  Relations of relative scientometric impact indicators. The relative publication strategy index , 1997, Scientometrics.