1,721,793 research outputs found
Jutan shi ji.
No full text吳仲孚. 雲泉詩集 / 釋永頤.綫裝.無框. 10行20字.鈐印: "長白敷槎氏堇齋昌齡圖書印","李文田印".Xian zhuang.Wu kuang. 10 hang 20 zi.Detailed notes in vernacular field only.Wu Zhongfu. Yun quan shi ji / Shi Yongyi
Nan Song quan shi
No full text"Nan Song quan shi" wei yi bu gui mo jiao da de quan mian yan jiu nan Song li shi de zhuan zhu, ben shu wei qi di 3, 4 juan dian zhang zhi du xia juan. Dian zhang zhi du shi yi ge guo jia de zheng fu zai yi ding shi qi nei hang wei gui fan de ji ben zhun ze. Zhongguo li dai tong zhi zhe da du shi fen zhong shi dian zhang zhi du de jian she, nan Song zheng fu yi shi ru ci.ben shu zhu yao yan jiu de shi nan song de zhi guan, xuan ju, jian cha, fa lü yi ji jun shi zhi d
Hua ben xiao shuo xu lun wen ben quan shi yu li shi gou jian
No full text"Hua ben xiao shuo xu lun wen ben quan shi yu li shi gou jian" zi jue di jiang hua ben xiao shuo de wen ben quan shi yu li shi gou jian lian xi qi lai, tan xun shen shi xiao shuo shi de xin wei du, wei jian she fu he Zhongguo gu dai xiao shuo te se de li lun ti gong le jie jian.dui mou xie you zheng yi de wen ti ru 'ni hua ben' yun san jie he deng ye ti chu le zi ji de kan fa, po you chuang huo, dui hua ben xiao shuo de yan jiu you suo tui ji
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
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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