1,720,968 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
TESTING THE CAUSALITIES BETWEEN ECONOMIC POLICY UNCERTAINTY AND THE US STOCK INDICES: APPLICATIONS OF LINEAR AND NONLINEAR APPROACHES
No full text This study aims to investigate the causal relationships between the economic policy uncertainty (EPU) index and the US stock indices the S&P 500, Dow Jones and Nasdaq 100 over the period of 1985M10–2016M12. To this aim, it is applied both linear causality and the nonlinear rolling window causality tests. The long-run analyses are also applied to reveal the elasticities of the US stock indices. The empirical findings indicate that both the linear and the nonlinear approaches support the evidence of causal relationships from the US EPU index to all the US stock indices. Additionally, it is also found some evidences of causal relationships from these three US stock indices to the US EPU index especially between 2008–2013 in the latest financial crisis and in the late 2016. The results indicate that the Nasdaq 100 index is mostly affected from the US EPU index both in the short and long-runs. </jats:p
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Does trade policy related uncertainty affect international trade? Evidence from the US-China commodity trade
No full textThe Impacts of Trade Policy Uncertainties on Bilateral Trade Balances of the United States and Japan
No full textSustainability of social security systems in EU countries: Panel cointegration analysis with multiple structural breaks under cross-sectional dependence
Get PDFIn this study, the sustainability of social security policies in EU countries was analyzed
by panel data method with multiple structural breaks under cross-sectional dependence for the
1990-2013 periods. The existence of cointegration was tested by Basher and Westerlund (2009)
method and series were found to be cointegrated. Cointegration coefficients were estimated by
AMG method and it was determined that social security policies are sustainable in a weak form in
these countries; when the social security systems’ expenditure is increased by 1%, revenues are
increased by 0.86% and revenues of the system cannot compensate the expenses. Austria has the
highest rate of sustainability of the social security system while Ireland and Finland have the
lowest rates
Which country after Greece? Sustainability of budget deficits in selected EU countries: A panel cointegration analysis with multiple structural breaks under cross-section dependence
Get PDFThe sustainability of budget deficits is one of the most important macroeconomic
problems in countries. High public spending and insufficiency of public revenue are the
main reasons for the collapsing of Greek, Italy, Spain, Portugal and Ireland economies. In
this study, the sustainability of budget deficit has been examined for 17 EU countries by
means of panel cointegration with multiple structural breaks under cross-section
dependence, for the period of 1996-2012. At the end of the analysis; cross-section
dependence was determined in these countries. Therefore, an economic shock that comes to
one of these countries also affects the others. According to the long-run analysis, budget
deficits of these countries are sustainable in weak form
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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