1,720,993 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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Valid Bayesian estimation of the cointegrating error correction model
No full textTwo methods of identifying cointegrating vectors are commonly used linear restrictions and the nonlinear method of Johansen's maximum likelihood procedure. That the linear method can produce invalid estimates while the Johansen approach always produces valid estimates has been recognised in several recent articles. As all Bayesian studies to date have used linear restrictions, this article presents a Bayesian method for obtaining estimates of cointegrating vectors that will always be valid
Bayesian Estimation of the Reduced Rank Regression Model Without Ordering Restrictions
Get PDFEstimation of the parameters of the reduced rank regression model in a Bayesian method requires the solution of two identification problems: global or strong identification and local identification. Traditionally Bayesians, and to a large extent frequentists, have relied on zero-one identifying restrictions which require the researcher to impose an order on the variables to achieve global identification. Examples of this approach include Geweke (1996), Bauwens and Lubrano (1993), Kleibergen (1997), Kleibergen and Paap (1997), and Kleibergen and van Dijk (1994). This ordering relies on a, priori knowledge of which variables enter the reduced rank relations. For example, the cointegrating error correction model requires knowledge of which variables are 1(0) or cointegrate. Incorrect ordering may result in an estimated space for the cointegrating vectors that does not have the true cointegrating space as a subset, effectively misspecifying the model. In this paper, we present an estimation method which does not require a priori ordering by using restrictions similar to those used in maximum likelihood estimation by Anderson (1951) of the reduced rank regression model generally, and by Johansen (1988) in an error correction model specifically. As with much of the recent work, we focus on the cointegrating error correction model to show our approach. Local identification is achieved by nesting the reduced rank model within a full rank model with a well behaved posterior distribution. This approach is due to Kleibergen (1997) and is consistent with the principle of a "datatranslated likelihood" suggested by Box and Tiao (1973). In nesting the reduced rank model in a full rank model, we use a transformation from the potentially reduced rank matrix II to the matrices a, @ and A where A = 0 restricts II to a lower rank. Results from Roy (1952) enable us to derive the Jacobian for this transformation
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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