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Scientometrics
Authors:
Mariana Da Luz
,
Carla Marques-Portella
,
Mauro Mendlowicz
,
Sonia Gleiser
,
Evandro Silva Freire Coutinho
, and
Ivan Figueira

Abstract  

A fair assessment of merit is needed for better resource allocation in the scientific community. We analyzed the performance of the institutional h-index in the case of Brazilian Psychiatry Post-graduation Programs. Traditional bibliometric indicators and the institutional h-index similarly ranked the programs, except for the Average Impact Factor. The institutional h-index correlated strongly with the majority of the traditional bibliometric indicators, which did not occur with the Average Impact Factor. The institutional h-index balances “quantity” and “quality”, and can be used as part of a panel of bibliometric indicators to aid the peer-review process.

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Abstract  

The applicability of Hirsch’s h index (Hirsch, 2005) for evaluating scientific research in Spain has been investigated. A series of derivative indexes that take into account: i) the overall low scientific production in Spain before the’ 80s; ii) differences among areas due to size (overall number of citations for publications in a given area); and iii) the number of authors, are suggested. Their applicability has been tested for two different areas in the Biological Sciences. The proposed set of indexes accurately summarizes both the success and evolution of scientists’ careers in Spain, and it may be useful in the evaluation of other not well established national scientific research systems.

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Scientometrics
Authors:
Antonis Sidiropoulos
,
Dimitrios Katsaros
, and
Yannis Manolopoulos

Abstract  

What is the value of a scientist and its impact upon the scientific thinking? How can we measure the prestige of a journal or a conference? The evaluation of the scientific work of a scientist and the estimation of the quality of a journal or conference has long attracted significant interest, due to the benefits by obtaining an unbiased and fair criterion. Although it appears to be simple, defining a quality metric is not an easy task. To overcome the disadvantages of the present metrics used for ranking scientists and journals, J. E. Hirsch proposed a pioneering metric, the now famous h-index. In this article we demonstrate several inefficiencies of this index and develop a pair of generalizations and effective variants of it to deal with scientist ranking and publication forum ranking. The new citation indices are able to disclose trendsetters in scientific research, as well as researchers that constantly shape their field with their influential work, no matter how old they are. We exhibit the effectiveness and the benefits of the new indices to unfold the full potential of the h-index, with extensive experimental results obtained from the DBLP, a widely known on-line digital library.

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Abstract  

A relation, established by András Schubert (Scientometrics 78(3): 559–565, 2009) on the relation between a paper’s h-index and its total number of received citations, is explained. The relation is a concavely increasing power law and is explained based on the Lotkaian model for the h-index, proved by Egghe and Rousseau.

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Abstract  

The h-index is a recent but already quite popular way of measuring research quality and quantity. However, it discounts highly-cited papers. The g-index corrects for this, but it is sensitivity to the number of never-cited papers. Besides, h- or g-index-based rankings have a large number of ties. Therefore, this paper introduces two new indices, and tests their performance for the 100 most prolific economists. A researcher has a t-number (f-number) of t (f) if t (f) is the largest number for which it holds that she has t (f) publications for which the geometric (harmonic) average number of citations is at least t (f). The new indices overcome the shortcomings of the old indices.

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Abstract  

The tail properties of scientometric distributions are studied in the light of the h-index and the characteristic scores and scales. A statistical test for the h-core is presented and illustrated using the example of four selected authors. Finally, the mathematical relationship between the h-index and characteristic scores and scales is analysed. The results give new insights into important properties of rank-frequency and extreme-value statistics derived from scientometric and informetric processes.

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Abstract  

This paper presents the results of an evaluation of the national research system in Morocco. The exercise focuses on the period 1997–2006 and includes a comparison with South Africa, Egypt, Nigeria, Tunisia, Algeria, Portugal and Greece. Ratings of highly ranked researchers are developed on the basis of their number of publications, number of citations and also their ‘h-index’ (or Hirsch index). Finally, we examine the empirical model set by Glänzel that related the h-index to the number of publications and the mean citation rate per paper for these ‘upper-class’ researchers. The use of this model confirms that the h-index is likely to reflect the importance and the quality of the scientific output of a given researcher.

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Summary  

Using both author-level and journal-level data, Hirsch's h-index is shown to possess substantial heuristic value in that it yields accurate results whilst requiring minimal informational acquisition effort. As expected, the h-index of productive consumer scholars correlated strongly with their total citation counts. Furthermore, the h-indices as obtained via ISI/Thompson and GoogleScholar were highly correlated albeit the latter yielded higher values. Finally, using a database of business-relevant journals, a significant correlation was found between the journals' h-indices and their citation impact scores.

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Abstract  

This study compares the citations characteristics of researchers in engineering disciplines with other major scientific disciplines, and investigates variations in citing patterns within subdisciplines in the field of engineering. Utilizing citations statistics including Hirsch’s (Proc Natl Acad Sci USA 102(46):16569–16572, <cite>2005</cite>) h-index value, we find that significant differences in citing characteristics exist between engineering disciplines and other scientific fields. Our findings also reveal statistical differences in citing characteristics between subdisciplines found within the same engineering discipline.

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Scientometrics
Authors:
Lev Zhivotovsky
and
Konstantin Krutovsky
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