We describe the steps involved in constructing authors" citation identities (whom they cite) and citation images (who cites them). Familiarity with the intellectual, social, and institutional connections of these authors over time helps inform the analysis and augment the specificity of citation counts. Our study shows that authors" writing and referencing styles constitute a form of watermark for their scholarly output.
process of editorial selection goes into the construction of the Citation Database journal list” (AMS 2011a ). The dichotomy of included and cited classes of journals makes MathSciNet a different type of tool than JCR for citationanalysis. Furthermore
Many studies have found that collaborative research is, in general, more highly cited than non-collaborative research. This
paper describes an investigation into the extent to which the association between high citation and collaboration for Economics
articles published in 2000 varies from region to region and depends on the choice of indicator of citation level. Using data
from the Social Science Citation Index (SSCI) for 18 countries, 17 American states and four indicators of citation level the
citation levels of the collaborative articles are compared with the citation levels of the non-collaborative articles. The
main findings are that: (a) for every country and every indicator the mean citation level of the collaborative articles was
at least as high as that for the non-collaborative articles, but for five US states and for at least one other indicator the
citation level of collaborative articles was lower than that of non-collaborative articles, and (b) the extent to which collaborative
articles were more highly cited varied considerably from country to country, from state to state, and from indicator to indicator.
This indicates the importance of using multiple indicators when investigating citation advantage since the choice of indicator
can change the results.
Authors:Henk F. Moed, Lisa Colledge, Jan Reedijk, Felix Moya-Anegon, Vicente Guerrero-Bote, Andrew Plume, and Mayur Amin
Scimago journal rank (SJR)
One criticism sometimes made of traditional citationanalysis is that all citations are considered ‘equal’. A citation from a widely-read, multidisciplinary journal counts as strongly as one from a more focused or local
Authors:Waister Martins, Marcos Gonçalves, Alberto Laender, and Nivio Ziviani
Assessing the quality of scientific conferences is an important and useful service that can be provided by digital libraries
and similar systems. This is specially true for fields such as Computer Science and Electric Engineering, where conference
publications are crucial. However, the majority of the existing quality metrics, particularly those relying on bibliographic
citations, has been proposed for measuring the quality of journals. In this article we conduct a study about the relative
performance of existing journal metrics in assessing the quality of scientific conferences. More importantly, departing from
a deep analysis of the deficiencies of these metrics, we propose a new set of quality metrics especially designed to capture
intrinsic and important aspects related to conferences, such as longevity, popularity, prestige, and periodicity. To demonstrate
the effectiveness of the proposed metrics, we have conducted two sets of experiments that contrast their results against a
“gold standard” produced by a large group of specialists. Our metrics obtained gains of more than 12% when compared to the
most consistent journal quality metric and up to 58% when compared to standard metrics such as Thomson’s Impact Factor.
Authors:Bárbara Lancho-Barrantes, Vicente Guerrero-Bote, and Félix Moya-Anegón
A study is described of the rank/JIF (Journal Impact Factor) distributions in the high-coverage Scopus database, using recent
data and a three-year citation window. It includes a comparison with an older study of the Journal Citation Report categories
and indicators, and a determination of the factors most influencing the distributions. While all the specific subject areas
fit a negative logarithmic law fairly well, those with a greater External JIF have distributions with a more sharply defined
peak and a longer tail—something like an iceberg. No S-shaped distributions, such as predicted by Egghe, were found. A strong
correlation was observed between the knowledge export and import ratios. Finally, data from both Scopus and ISI were used
to characterize the rank/JIF distributions by subject area.
Authors:Pedro Albarrán, Juan Crespo, Ignacio Ortuño, and Javier Ruiz-Castillo
In this paper, scientific performance is identified with the impact that journal articles have through the citations they
receive. In 15 disciplines, as well as in all sciences as a whole, the EU share of total publications is greater than that
of the U.S. However, as soon as the citations received by these publications are taken into account the picture is completely
reversed. Firstly, the EU share of total citations is still greater than the U.S. in only seven fields. Secondly, the mean
citation rate in the U.S. is greater than in the EU in every one of the 22 fields studied. Thirdly, since standard indicators—such
as normalized mean citation ratios—are silent about what takes place in different parts of the citation distribution, this
paper compares the publication shares of the U.S. and the EU at every percentile of the world citation distribution in each
field. It is found that in seven fields the initial gap between the U.S. and the EU widens as we advance towards the more
cited articles, while in the remaining 15 fields—except for Agricultural Sciences—the U.S. always surpasses the EU when it
counts, namely, at the upper tail of citation distributions. Finally, for all sciences as a whole the U.S. publication share
becomes greater than that of the EU for the top 50% of the most highly cited articles. The data used refers to 3.6 million
articles published in 1998–2002, and the more than 47 million citations they received in 1998–2007.
Nanotechnology is an emerging field of science with the potential to generate new and enhance existing products and transform
the production process. US patent data is used to track the emergence of nanotechnologies since 1978. The nanotechnologies
that have undergone the most development are identified using patent citation data and co-citation patterns of patents are
examined to define clusters of related nanotechnologies. The potential for economic impact of the emerging nanotechnologies
is assessed using a generality index.