1,721,042 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Intelligente Lösungen zur Unterstützung von Entscheidungsprozessen im Straßenmanagement: Ein allgemeiner Ansatz, der die Umwelt, die Nutzbarkeit von Straßen und die Sicherheit der Nutzer berücksichtigt
Get PDFThis Ph.D. dissertation focuses on optimizing automated decision-making processes involving critical aspects of road management tasks. Specifically, the research aims to define and implement specific strategies for supplying support to decision-makers considering two leading elements: road maintenance and road safety. We propose some novel applications based on the integrated use of high-performance Non-Destructive Techniques (NDTs) and Geographical Information Systems (GISs) in order to obtain a “fully sensed” infrastructure, creating a multi-scale database concerning structural, geometrical, functional, social, and environmental characteristics. The environmental aspect is essential since climate change phenomena and extreme natural events are increasingly linked with infrastructure damage and serviceability; nonetheless, current Pavement Management Systems (PMSs) commonly rely solely on road pavement structural characteristics and surface functional performance. The high amount of collected data serves as input for calibrating different data-driven approaches, such as Machine Learning Algorithms (MLAs) and statistical regressions. Considering the aspect of road monitoring and maintenance, such models allow identifying the environmental factors that have the most significant impact on road damage and serviceability, as well as recognizing road sites with critical health conditions that need to be restored. Moreover, the calibrated MLAs enable decision-makers to determine the road maintenance interventions with higher priority. Considering road safety, the calibrated MLAs allow identifying the sites where serious road crashes can be triggered and estimating the crash count in a specified time frame. Moreover, it is possible to recognize infrastructure-related factors that significantly impact crash likelihood. Road authorities may consider the outcomes of the dissertation as a novel approach for drafting appropriate guidelines and defining more objective management programs.Diese Dissertation befasst sich mit der Optimierung von automatisierten Entscheidungsprozessen, die kritische Aspekte von Straßenmanagementaufgaben betreffen. Konkret zielt die Forschung darauf ab, spezifische Strategien zur Unterstützung von Entscheidungsträgern zu definieren und zu implementieren, wobei zwei wichtige Elemente berücksichtigt werden: Straßenerhaltung und Straßensicherheit. Wir schlagen einige neuartige Anwendungen vor, die auf dem integrierten Einsatz von leistungsstarken zerstörungsfreien Techniken (NDT) und Geografischen Informationssystemen (GIS) basieren, um eine vollständig erfasste Infrastruktur zu erhalten und eine mehrstufige Datenbank mit strukturellen, geometrischen, funktionalen, sozialen und umweltbezogenen Merkmalen zu erstellen. Der Umweltaspekt ist von entscheidender Bedeutung, da Phänomene des Klimawandels und extreme Naturereignisse zunehmend mit Schäden an der Infrastruktur und deren Gebrauchstauglichkeit in Verbindung gebracht werden; dennoch stützen sich die derzeitigen Systeme zum Management des Straßenbelags (PMS) in der Regel nur auf die strukturellen Merkmale des Straßenbelags und die funktionale Leistung der Oberfläche. Die große Menge an gesammelten Daten dient als Eingabe für die Kalibrierung verschiedener datengetriebener Ansätze, wie z. B. Algorithmen für maschinelles Lernen (MLA) und statistische Regressionen. Unter dem Aspekt der Straßenüberwachung und -instandhaltung ermöglichen solche Modelle die Identifizierung der Umweltfaktoren, die sich am stärksten auf die Straßenschäden und die Gebrauchstauglichkeit auswirken, sowie die Erkennung von Straßenstandorten mit kritischem Zustand, die saniert werden müssen. Darüber hinaus ermöglichen die kalibrierten MLAs den Entscheidungsträgern, die Straßeninstandhaltungsmaßnahmen mit höherer Priorität zu bestimmen. Im Hinblick auf die Straßenverkehrssicherheit ermöglichen die kalibrierten MLAs die Identifizierung von Stellen, an denen es zu schweren Verkehrsunfällen kommen kann. Darüber hinaus ist es möglich, infrastrukturbezogene Faktoren zu erkennen, die die Unfallwahrscheinlichkeit erheblich beeinflussen. Straßenverkehrsbehörden können die Ergebnisse der Dissertation als neuen Ansatz für die Ausarbeitung geeigneter Richtlinien und die Definition objektiverer Managementprogramme betrachten
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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