1,720,984 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
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
Strategic usage of Real-time data for Dynamic Data Driven Simulation: A Sensitivity Analysis
No full textEngineering and Policy Analysi
Using an Automated Model to Develop Conceptual Designs: Improving an Existing Model for the Conceptual Design of Baggage Handling Systems
No full textBaggage handling systems (BHS) are unknown to most people, but play a vital role at airports. A BHS is a system that consists of different subsystems, each with its own functions. It is important to make well-informed decisions about the BHS as early as the conceptual design phase, which is the part of the design where the basic solution, such as system configuration (the type and amount of equipment) and system layout (volume reservation for the system), is selected. The choices made in this phase influences the cost, performance, and reliability of the system. Even though the impact of the choices in the conceptual design phase is high, tools to guide the decisions are lacking. Previous research by Noort (2018) and Vijlbrief (2019) has led to an initial model that automates the conceptual design of a BHS. This initial model still has major limitations which need to be resolved in order to finalize the model. Thus, the goal of this research is to improve the model by increasing both the usability and usefulness of the initial model. The usability has increased by decreasing the run time, writing a manual to motivate the learning of the model, and adding a dashboard to visualize the results. The usefulness has increased by expanding the scope of the model, increasing the model precision by limiting uncertainties, and adding levels of detail to the outcome. Since both facets of the model have been increased, it can be concluded that the adjustments made to the initial model can be seen as improvements. It can therefore be said that the model proposed in this research can be seen as an improved model for the conceptual design of baggage handling systems.Engineering and Policy Analysi
Robust Decision Support Methods: A Comparative Analysis
No full textMethods for decision support in the context of deep uncertainty have been gaining interest in the context of complex and adaptive problems that are characterized by “tipping point” behaviours. Unlike a traditional “predict-then-act” methods, which determine policies based on specific predictions of future behaviour, these decision support methods seek policies that are robust to inherently uncertain future conditions. Three robust decision support methods have been identified: multi-objective robust decision making (MORDM), multi-scenario MORDM, and multi- objective robust optimization (MORO). These three methods are all based on the robust decision making (RDM) structure, but search for solution alternatives in different ways. While MORDM considers a single absolute performance measure when selecting solution alternatives, multi- scenario MORDM uses multiple references to determine performance in an effort to yield more robust solution alternatives. Finally, MORO directly optimizes alternatives for robustness to determine a set of potential solutions, making the most effort to consider robustness of all three methods.It has been previously assumed that the performance of each method is largely dependent on the behaviour of the problem and structure of the desired solution, but there has been no comparison made in literature to test that idea. This study proposes framework for comparing decision support methods for multiple problem and solution structures and uses that framework to compare the efficacy of all three robust decision support methods given a highly stylized problem that is commonly used in deep uncertainty research: the lake problem. Three solution implementation structures will be considered: a static structure known as the intertemporal variation, a dynamic structure known as the direct policy search variation (DPS), and a newly proposed variation named the planned adaptive DPS variation that aims to better capture real-world implementation properties.The results indicate that generally, independent of policy implementation structure, the more that robustness is incorporated into the early stages of analysis, the more robust the identified set of potential solutions will be. The increase in robustness comes with a sharply increasing computational cost, with MORO quickly becoming prohibitively expensive to run. The proposed planned adaptive DPS lake problem variant was also shown to yield a set of solution alternatives that do not weigh conflicting objectives as evenly as the other two variants, leading to an extremely conservative set of solution alternatives, especially in a multi-scenario MORDM analysis. Therefore, the development of a hybrid robust decision support method that can consistently find the most robust solutions while evenly weighing conflicting objectives and minimizing the computational cost is much needed. Until that time, analysts and decision makers will be able to use this framework to compare existing robust decision support and select the method that best fits the needs and limitations of a problem analysis.Engineering and Policy Analysi
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