1,720,993 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
Longevity-risk-Adjusted Global Age Indicators in Russia and Italy
No full textThe goal of this study is to make a comparison between chronological and biological ages across the Italian and the Russian population. To serve this purpose we employ a measure of age recently introduced in the literature by Milevski (so-called Longevity-risk-Adjusted global age, hereafter L-RaG). Data for the Italian and the Russian population, split by regions, sex, and age groups have been collected for the years 2019 and 2020. Results show that there are significant differences between the chronological and the perceived ages for females and males across Italian regions. The difference exacerbates if we make a comparison between the North and the South regions. Looking at the Russian population, the gap appears extremely high for the North Caucasian area. Finally, we compare the median values of the gaps between the years 2019 and 2020. We found that in the latter year, the median values of the gap has been decreased. This could be attributed to the consequences of the Covid-19 pandemic
Modelling Wealth Inequality: A Structural Vector Autoregression Approach
No full textIn recent years, an increasing number of studies has been undertaken to estimate inequality and to find out its determinants. Most of the works have been executed on income inequality data because wealth is notably harder to estimate. In this study the impact of economic growth and financial development on wealth concentration is examined. There were collected yearly data on Russian economic system covering the period 1995-2014. A set of stochastic difference equations (structural vector autoregression, SVAR) was implemented to represent the dynamics of economic and financial system and their impact on wealth concentration were studied. Our findings suggest that in the short and long run, even if at the very beginning the development of financial system increases the inequality, both dynamics decrease the inequality, while in the middle the two tend to exacerbate the concentration of wealth
Short-Term Mortality Fluctuations and Longevity Risk-Adjusted Age: Learning the Resilience of a Country to a Health Shock
Full text linkRecent studies have attempted to measure differences in lifestyle quality across the world. This paper contributes to this strand of literature by extending the indicator introduced in Milevsky (2020), i.e., “longevity-risk-adjusted global age” (LRaG age), to deal with the new short-term mortality fluctuation data series freely available from the Human Mortality Database. The new weekly data on mortality allow measuring weekly biological age. The weekly differences between biological and chronological ages across countries were used to assess country resilience to the COVID-19 pandemic in terms of excess mortality and health expenditure. Countries with a biological age lower than the chronological age had a lower excess mortality in 2020–2021 and a lower health expenditure, thus indicating some resilience to the shock of COVID-19
MSD (Multibody Shape Generation)- Aerodynamic surface design and optimisation- User manual
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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
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