1,720,999 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
Erfassung von Baumarten, Kalamitäten und Holzvorrat mittels hochaufgelösten Satellitendaten
No full textIncreasing requirements for monitoring to ensure sustainable forest management result in a higher demand for detailed, reliable and up-to-date forest information on such things as tree species mixture, vitality status, and growing stock volume, as well as windthrow and pest detection. This information is commonly obtained through well-established, field-based forest inventories. Remote sensing applications can provide important additional data, particularly given the increased availability of earth observation (EO) data in recent years. One advantage of EO data is its usefulness in the production of area-wide maps. In this work, optical remote sensing data from current satellite missions are used to derive various forest parameters. EO data with high spectral (5 to 10 spectral bands) and high spatial resolutions (0.5 to 30 m) are used for tree species classification, mapping calamities and growing stock. Tree species are classified at the individual tree crown level and at the level of tree groups, depending on the spatial resolution of the EO data. Classifications of tree crowns from ten tree species using WorldView-2 data (8 spectral bands, 2 m spatial resolution) have an overall accuracy of 82%. Classification of several scenes using automatically generated segments representing tree collectives show significantly higher accuracies. Depending on the number of classes (around ten, including non-forest classes), the models result in overall accuracies of 88 to 97%. A direct comparison of three sensors shows that, in addition to spectral resolution, spatial resolution has a great influence on classification accuracy. Seven tree species are distinguished with an overall accuracy of 74% using WorldView-2 data, 68% with Sentinel-2 (10 spectral bands, 10 to 20 m spatial resolution) and 50% with Landsat-8 (6 spectral bands, 30 m spatial resolution). Hence, spatial resolutions of 10 to 30 m appear to be inadequate for species differentiation, particularly in very heterogeneous forests. To test the possibilities of mapping tree species on large areas the spruce and pine classification using WorldView-2 data as a reference, and metrics derived from Landsat time series data as explanatory variables are combined to derive species-specific fractional cover for the entire state of Bavaria. An independent validation shows error values of 12.1% for pine and 14.2% for spruce. The detection of calamities also shows promising results. Three classes - 'healthy', 'bark beetle infested but still green' and 'dead' - can be distinguished at the tree crown level with accuracies of more than 70% using WorldView-2 data. Windthrows are detected using a change detection approach based on RapidEye data (5 spectral bands, 5 m spatial resolution) recorded before and after the event. With an object-based approach, affected areas of more than 0.5 ha are identified with accuracies of around 90%. Satellite sensors such as WorldView-2 are capable of recording stereo scenes. Hence, these data are an alternative to LiDAR for generation of digital surface models and canopy height models (CHM). We use CHM here for growing stock modeling, with ground-based forest inventory results as input data. Explanatory variables include spectral and height metrics from the WorldView-2 data derived from different reference circles. The best model has an error of 29.5%. The studies presented underline the high potential of earth observation data for the estimation of important forest parametersDie Sicherstellung einer nachhaltigen Waldbewirtschaftung sowie steigende Monitoringanforderungen führen zu einem erhöhten Bedarf an detaillierten, verlässlichen und aktuellen Informationen über Wälder. Beispiele sind Baumarten, Vitalitätszustand, Holzvorrat oder die Erfassung von Veränderungen wie Windwürfe und Schädlingsbefall. Die Bereitstellung dieser Informationen erfolgt üblicherweise anhand etablierter, terrestrisch erhobener Forstinventuren. Fernerkundungsanwendungen können aber wichtige zusätzliche Daten bereitstellen, insbesondere angesichts der in den letzten Jahren gestiegenen Verfügbarkeit von Erdbeobachtungsdaten. Ein Vorteil dieser Daten ist die Möglichkeit der Herstellung flächendeckender Karten. In dieser Arbeit werden optische Fernerkundungsdaten aktueller Satellitenmissionen verwendet, um verschiedene forstliche Parameter abzuleiten. Die dazu verwenden Daten weisen mit 5 bis 10 Spektralkanäle (SK) hohe spektrale und mit 0.5 bis 30 m auch hohe räumliche Auflösung (GSD) auf und werden für die Klassifikation von Baumarten, die Erfassung von Kalamitäten und zur Schätzung des Holzvorrates verwendet. Die Baumartenklassifikation erfolgt je nach räumlicher Auflösung der Fernerkundungsdaten auf der Basis der Baumkronen bzw. auf Ebene von Baumgruppen. Die Trennung von zehn Baumarten auf Einzelkronenniveau mit WorldView-2 Daten (SK: 8, GSD: 2 m) erzielt eine Gesamtgenauigkeit von 82%. Die Klassifikation von automatisch generierten Segmenten, welche Baumkollektive (bis Bestände) umfassen, erzielen deutlich höhere Genauigkeiten. Abhängig von der Anzahl der Klassen (rund zehn, inklusive Nichtwaldklassen), werden für unterschiedliche WorldView-2 Szenen Gesamtgenauigkeiten von 88 bis 97% erreicht. Ein Vergleich dreier Satellitensensoren im selben Untersuchungsgebiet zeigt, dass neben der spektralen auch die räumliche Auflösung einen großen Einfluss auf die erzielbare Klassifikationsgenauigkeit hat. Sieben Baumartenklassen können mittels WorldView-2 Daten mit 74% Gesamtgenauigkeit getrennt werden, mit Sentinel-2 (SK: 10, GSD: 10 bis 20 m) werden 68% und mit Landsat-8 (SK: 6, GSD: 30 m) 50% der Samples richtig klassifiziert. Räumliche Auflösungen niedriger als 2 m haben sich in den Arbeiten speziell in sehr heterogenen Wäldern als kritisch dargestellt. Für eine bayernweite Kartierung der Fichten- und Kiefernvorkommen werden WorldView-2 Klassifikationsergebnisse als Referenz und Metriken aus Landsat-Zeitreihen-Daten als erklärende Variablen kombiniert. Die unabhängige Validierung der artenspezifischen Anteilskarten der beiden Baumarten für ganz Bayern zeigt einen Fehler von 12.1% für Kiefer und 14.2% für Fichte. Die Erfassung von Kalamitäten in Wäldern mittels Fernerkundungsdaten wird in zwei Fallstudien untersucht. Mit WorldView-2 Daten werden die drei Klassen "gesund", "Borkenkäfer befallen aber noch grün" und "tot" auf Einzelkronenniveau mit Genauigkeiten von mehr als 70% unterschieden. Die Erfassung von Windwürfen erfolgt anhand einer Veränderungserkennung basierend auf RapidEye-Daten (SK: 5, GSD: 5 m), die vor und kurz nach dem Ereignis aufgenommen wurden. Der objektbasierte Klassifikationsansatz identifiziert betroffene Flächen größer 0.5 ha mit einer Genauigkeit von rund 90%. Manche Satellitensensoren (z.B. WorldView-2) sind in der Lage Stereoszenen aufzunehmen und sind damit eine Alternative zu LiDAR für die Erzeugung digitaler Oberflächen- und Vegetationshöhenmodelle. Durch die Kombination dieser Informationen mit Waldinventuren können flächendeckende Holzvorratskarten erstellt werden. Als erklärende Variabel werden für die Modellierung sowohl Spektral- als auch Höhenmetriken aus den WorldView-2 Daten verwendet, die in unterschiedlichen Bezugsflächen errechnet werden. Das beste Regressionsmodell erzielt einen Fehler von 29.5%. Die unterschiedlichen Studien unterstreichen das hohe Potential aktueller satellitengestützter Erdbeobachtungsdaten für die Beantwortung verschiedener forstlicher Aufgabenstellungensubmitted by Markus ImmitzerAbweichender Titel laut Übersetzung der Verfasserin/des VerfassersDissertation Universität für Bodenkultur Wien 2017Zusammenfassung in deutscher Sprach
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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
- …
