1,720,957 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
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
Simulations stochastiques par rapiéçage de motifs avec contrôle des statistiques
RÉSUMÉ: Dans cette thèse, nous présentons deux méthodes de simulation stochastique qui procèdent de manière similaire à la construction d'un casse-tête en assemblant des morceaux carrés d'image, d'où le nom de simulations stochastiques par rapiéçage de motifs. Les morceaux sont prélevés dans une image de référence qui fournit les informations sur les propriétés statistiques du champ aléatoire à reproduire. Nos méthodes de simulation mettent l'accent sur la continuité des motifs lors du rapiéçage. De plus, nos méthodes de simulation permettent de respecter la présence de données conditionnantes (hard data). Pour ce conditionnement, nous limitons le choix des morceaux d'image à ceux qui respectent les données conditionnantes. Afin d'éviter le problème de dérive des statistiques, nous présentons une méthode de contrôle reposant sur le contrôle de l'histogramme de la moyenne locale. Pour contrôler cet histogramme, nous classons dans une partition les morceaux de l'image de référence en fonction de la valeur moyenne de leurs pixels. En plus de pouvoir reproduire l'histogramme de la moyenne locale de l'image de référence, les simulations peuvent reproduire un histogramme quelconque défini par l'usager. La première méthode de simulation, appelée patchwork simulation method (PSM), procède de gauche à droite et de haut en bas en collant des morceaux d'image de l'image de référence. Cette méthode de simulation est apparentée à un champ de Markov où le contrôle de la moyenne locale s'effectue en choisissant adéquatement les probabilités de transition. La deuxième méthode de simulation, appelée corrective pattern-matching simulation (CPMS), procède en effectuant des corrections de manière itérative. Cette méthode est apparentée à un algorithme glouton, car à chaque étape elle apporte une correction à un emplacement présentant une grande erreur dans l'objectif de tendre vers un optimum global. Pour différents types d'images de synthèse et pour une image d'un mélange de polymère, nous montrons que nos simulations respectent les données conditionnantes, reproduisent l'aspect visuel des images de référence et permettent d'obtenir des histogrammes de la moyenne locale qui sont statistiquement conforme à l'histogramme visé. ABSTRACT: In this thesis, we present two stochastic simulation methods which build two-dimensional images by assembling together square image pieces like a jigsaw puzzle. The image pieces are taken from a reference image that provides the statistical information on the simulated field. Our methods emphasize pattern continuity in the simulated image. This is achieved by suitably selecting the image pieces to fit to the existing data. Our simulations are also constrained to respect conditional data called \emph{hard data}. This conditioning is achieved by limiting the image pieces drawn from the reference image to the pieces that honor the hard data. To avoid statistical drift in our simulation methods, we introduce different ways to control the local-mean histogram. The local-mean is the average value of the pixels in a square image piece. The statistical control is achieved by partitioning all the possible image pieces of the reference image according to their local-mean. The simulations can then reproduce the local-mean histogram of the reference image. Furthermore, the simulations can also reproduce a user-defined local-mean histogram and thus produce original random fields. The first simulation method, called patchwork simulation method (PSM), proceeds unilaterally by sticking image pieces from left to right and from top to bottom. In the PSM, the local-mean histogram control is achieved by suitably adjusting the transition probabilities that associate the added data to an existing neighborhood in the partly simulated image. The second simulation method, called corrective pattern-matching simulation (CPMS), proceeds iteratively by making local corrections to the simulated image. The CPMS proceeds as a greedy algorithm in the sense that, at each step, the simulation corrects a location that presents a large error in the hope to tend towards a global optimum.For several types of synthetic images and one polymer blend image, we show that our simulations respect the conditioning data, reproduce faithfully the visual appearance of the reference images and are statistically compatible with the target local-mean histograms
Système de reconnaissance de séquences musicales fredonnées utilisant un réseau à écho
Notions musicales -- Prétraitement d'un extrait sonore -- Représentation des intervalles mélodiques -- Analyse de séquences musicales au moyen d'un réseau à écho
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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