1,721,080 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
AcF 706 : assessing default risk of a public company
Full text linkThe dissertation presents the determinants of credit spread, evolution of credit risk modeling and empirically evidence over the period, as well as models based on accounting information. The study explores performance of the firm with accounting and share price information. It also evaluates the predictive of two credit risk models: Merton (1974) and Leland (1994), using accounting and market variables. The finding is that both models tend to underestimate credit risk spreads, though most of the previous literature points out that Leland model usually overestimates credit spread. Further research may focus on market and industrial component of models
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Assessing default risk of a public company : an empirical analysis on the basis of Volkswagen AG
Full text linkThe outbreak of the financial crisis brought credit default risk back to the minds of investors. It is the most important risk for debtholders and there is no ideal way given by legislation in how to assess it. Several different approaches evolved over time like ratio analysis, structural or reduced form models. They all have in common that they try to predict at least bankruptcy probability and some further attempt to give an indication about how to price it. Besides that non-quantitative measures such as market-, peer- or economic analysis are taken into consideration.
In order to evaluate performance of these models but credit default risk in general, Volkswagen AG, the German car manufacturer is chosen. It is on its way to become the world’s largest carmaker and offers a long history for examinations.
By applying different models to VW’s case, results have shown that single ratios are superior to all other models evaluated. Structural models have strengths and weaknesses over time due to their assumptions and multi-ratio models’ performance is the worst. VW would have been bankrupt several times according to their predictions.
Nevertheless the other models pointed out that VW’s credit worthiness recently improved and market expects it to continue. Therefore investing in VW’s credit risk seems a reasonable decision for investors.
I would like to thank Martin Amann for his helpful advice regarding rating agencies and their methodology in assessing credit risk, my former colleagues Matthias Kreie and Konrad Kleinfeld for their support regarding VW’s bond time series and credit reports, and my brother for his advice and the discussions about the dissertation. Moreover I am very grateful to my supervisor Mark Shackleton for all his support
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