1,723,871 research outputs found
SUPERSEDED - Summary of data retrieval process
No full text##This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7708 ## This file contains a detailed discussion of how we went about corpus construction, with a particular focus on data retrieval. It discusses our use of Nexis and Factiva, Google and GDELT (via API), as well as the web scraping procedures used
[The Texas & Pacific Railway Co., Engine Drawing Card, Sketch No. 7708]
No full textThis engine drawing card was created for Texas & Pacific Railway, Class 14-52 1/4F. Section J-14 1/4 F. Sketch 7708. Copy Spec. C9164 SK. Mod
Size distribution of <i>Sardinella maderensis</i> specimens (n = 7708) collected in Senegalese waters from March 2012 to February 2013.
No full textSize distribution of Sardinella maderensis specimens (n = 7708) collected in Senegalese waters from March 2012 to February 2013.</p
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
FDI, EXPORT SPILLOVER AND FIRM HETEROGENEITY - AN APPLICATION TO THE INDIAN MANUFACTURING CASE
Full text linkThe role of Foreign Direct Investments (FDI) in the process of economic development is of particular relevance since they bring in some specific technological assets that are not immediately available in the host country. The literature related to the microeconomic impact of FDI has been mainly concentrated in explaining the final effect on productivity, caused by the fact that Multinational Enterprises (MNEs) are not completely able to protect their superior assets from spilling over. However, there is a relatively unexplored effect that has recently been at the center of some studies that is the export spillover effect. Up to now, the literature has found out only mixed results with regard to the possibility that MNEs influence both export decision and export intensity of local firms. In the present paper, we provide some empirical evidence for that specific effect examining a case of an emerging economy, namely India for the period 1994-2006 by using a firm level dataset of more than 3000 firms belonging to manufacturing industries. In particular, we introduce the theoretical argument related to the MNEs heterogeneity which has not been properly investigated especially in empirical studies trying to understand whether, by using different measures characterizing MNEs behaviour, it is possible to distinguish between different impacts that MNEs have on export performance of local firms. We estimate the model through the Heckman selection technique after having built spillover variables that take into account five types of heterogeneity: the degree of involvement in trade networks, the level of embeddedness inside the innovation system of the host country, the asset seeking vs asset exploiting motivations(technological intensity), the type and amount of inputs sourced from abroad rather than from the host country and the percentage of the foreign equity stake. The second step of the analysis we perform is that of testing the relationship between the heterogeneity of MNEs with the heterogeneity of local firms splitting the sample according to the level of R&D intensity, the level of embeddness into the innovation system and the involvement in trade activities. Results confirm the hypothesis of different impacts caused by different MNEs behaviour especially with regard to the export intensity, while a greater impact on export decision is found when heterogeneity of local firms is accounted for.Exports, spillover, MNCs
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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