1,720,974 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
Safety Analysis of Transportation Modes Using Data Analytics
Transportation-related fatalities and serious injuries are societal problems that requires active risk mitigation. With the latest information technology and data analytics, opportunities arise to make evidence-based safety improvements. Among passenger transportation modes, pedestrian and bicyclist fatalities and serious injuries have been growing at a disturbing rate, whereas rail freight transport of hazardous materials (hazmat) poses an additional safety concern. Thus, the research contained in this dissertation focuses on identifying methods and approaches for improving the safety of pedestrians, bicyclists, and railways.
For pedestrian and bicycle safety, classification models are developed for determining factors influencing severe crash outcomes, comparing their predictive results on a highly imbalanced dataset using three data balancing methods. The same six factors (speed limit, average annual daily traffic, number of lanes, roadways, inadequate lighting conditions, and weekend use) are identified for pedestrians and bicyclists, albeit in a different order of importance. By leveraging emerging technologies to estimate travel demand on these modes, we demonstrate the importance of both severe crash frequency and severe crash rate by estimating corresponding pedestrian and bicycle exposure at locations of interest. The vast majority of the highest-ranking at-risk streets in the case sample were the same for pedestrian and bicyclist use, respectively, implying potential economies to scale for investment in safety improvements at these locations.
For rail safety, a conceptual design is developed for rail hazmat shippers using the integration of several technologies to achieve enhanced hazmat transport safety and security. The research includes schematics showing individual system components (hardware and software) and their interoperability, as well as a narrative that describes how each component is utilized and how information is transmitted to the rail hazmat shipper and subsequently merged into an integrated database. Guidance is also provided to set thresholds, trigger alerts or notifications, and communicate these alerts or notifications to appropriate hazmat transportation stakeholders
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
A Hybrid Simulation Approach for Disaster Loss and Damage Projection Under Climate Change
Climate change is creating more frequent and more severe weather events across the world and the reality is that this trend will continue for the foreseeable future. As a result, society must prepare for these impacts and adapt accordingly while recognizing that the circumstances will vary across geographical regions. In order to make more effective adaptation investment decisions, the future impacts of these events must be understood. Databases on loss and damage direct costs associated with individual severe weather events have been recorded for decades and are publicly available online, presenting a rich resource for use in predictive modeling of future loss and damage. By developing a model to simulate these impacts, it reduces the burden to access information to help in adaptation investment decision making, particularly important for rural communities and locations of disproportionately high socially disadvantaged populations, who are typically resource-constrained. The focus of this dissertation is to leverage this data in concert with utilizing future climate change pathways and their associated outcomes, as well as representing how, in addition to direct impacts, non-economic and indirect damages can be considered. Such a modeling effort can create a more complete evaluation of the business case for allocating resources to strategies designed to mitigate extreme weather risk, which can be utilized in traditional benefit-cost and return-on-investment methods. The results of this research also set the stage for opportunities to further enhance modeling efforts that can leverage improvements in loss and damage accounting achieved when utilizing smaller spatial resolution
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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