1,720,991 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
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
Recommended from our members
Lossless Compression of Images
No full textEfficient image data compression algorithms are required to minimize the cost of data transmission and storage as the quality and file sizes of images keep increasing. With the advancements in image sensors and processing units of mobile devices, use of complex but more effective compression algorithms is becoming more prevalent on a wide variety of devices. There are two main ways, lossy and lossless, to compress data. In lossy compression, while the compression gain may be substantial, the quality of the image may not be preserved. When any loss on data is not tolerable, such as in medical images, lossless compression algorithms are the only choice. The focus of our present study is on enhancing the performance of some of the existing algorithms and proposing new ones to better compression gains of lossless image compression. More specifically, we proposed two pre-processing techniques, the pseudo-distance technique (PDT) and the hierarchical coding technique. Then we compressed the pre-processed image data using the block-sorting transformations, and inversion coding technique along with an entropy coder. On various image data sets, our proposed data compression techniques performed better than GIF, PNG, and JPEG. In addition, we parallelized PDT to use in multi-processors. We also implemented some of the lossless data compression algorithms and transformations in microcontrollers (Arduino Uno, TI MSP432), and developed techniques to asses power consumption during the data compression process.</p
Recommended from our members
Lossless Compression of Images
No full textData compression is a challenging process with important practical applications. Specialized techniques for lossy and lossless data compression have been the subject of numerous investigations during last several decades. These general data compression algorithms were used also for compression of images with considerable success. However, with recent developments of new lossy and lossless data compression algorithms designed specifically for images, researchers have begun to achieve impressive gains in image compression efficiency. Lossy image compression tolerates compromising quality and information loss at the expense of compression gain. Lossless compression, in contrast, preserves image integrity fully, which is an important consideration in certain critical applications such as medical image processing. In this thesis we present a new technique for lossless compression of images based on the pseudo-distance technique proposed by Kuroki et al. We improve their algorithm by using a dynamic pseudo-distance matrix, context-models, and utilizing block-sorting transformations before the entropy coder. While their algorithm outperformed GIF by 16%, our algorithm achieves gains of 54% over GIF and 6% over PNG. We also present a parallelized implementation of our algorithm, which results in substantial gains in compression time while providing the desired compression efficiency. We demonstrate the efficiency of our compression algorithm on standard test image sets, including non-dithered and dithered color palette, and microarray images.</p
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
