1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
Investigating the Effects of Financial Repression on Private Investment in Agriculture Sector
One of the present phenomena that virtually explain weaknesses
in financial systems of different countries is financial
repression. Financial repression encompasses the different interferences
of governments in financial markets through determining
the ceiling interest on bank deposits, high rates of legal reserves,
and the government’s interference in distribution of bank
credits,which prevents the efficient performance of financial
market for better allocating resources and funds. On the other
hand, investment in agricultural sector enjoys a significant importance
due to the growth of production and employment in this
sector and rooting for the same notions in other economic sectors.
Regarding the fact that the subject matter of the current paper is
of utmost importance, it tries to investigate the impacts of
financial repression on investments in agricultural sector. In
order to realize this objective, measures such as the size of the
government in economy, the measure for financial intermediation
of banks, and the ratio of savings to GDP (Gross Domestic
Product) were utilized as the factors for financial repression. The
regression results of ARDL showed that the effects from the
measures of government size in economy and financial intermediation
of banks had a negative and significant impact on private
investment in agricultural sector. This means that the bigger the
size of government in economy the less the willingness of the
private sector for investing in agriculture. Moreover, regarding
the fact that the majority of banks in Iran are governmental, the
measure for financial intermediation of banks had a negative and
significant impact on private investment of agricultural sector
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
A study on the efficiency of government spending, optimal fiscal policy and indigenous economic growth in Iran economy
The optimal combination of the government current and capital expenditures is very important from the aspect of influencing on the optimal economic growth, so that lack of attention to the type of government spending leads to inefficiency of the government fiscal policies and failure to achieve the high-valued objectives of economy. In the present study, we used the production function and considering efficiency of the government current and capital expenditures to evaluate their effects on the optimal economic growth. Then, we proposed appropriate policy recommendations. To this aim, we used the modified Devarajan’s model (1998) and vector error correction model for 1966-2013 time-series data. The results show that current and capital expenditures had respectively positive and negative effects on the optimal economic growth. In other words, in Iranian economy, current expenditures are more efficient than capital expenditures. This is in contradiction to the ideas about high efficiency of capital expenditures. The reason for this is the Iranian economy structure and the nature of government current and capital expenditures. So that capital expenditures despite accounting classification, have a non-development nature. This is because of low contribution of economic issues in capital expenditures and high contribution of economic issues in current expenditures. Moreover, due to non-flexibility of current expenditures over 70%, adopted current credits are allocated practically and only 10-30% of development credits are allocated. Selection of economic sectors for development expenditures is inefficient while, current expenditures leads to economic growth by creating real demand in the market.
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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