1,720,963 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
A Literature Review on Investors' Perception Towards Mutual Funds with Reference to Performance, Risk - Return, and Awareness
No full textVariations 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
High prevalence of cesarean section births in private sector health facilities- analysis of district level household survey-4 (DLHS-4) of India
No full textArtificial Intelligence (AI) in Financial Forecasting: A Data-Driven Approach to Risk Mitigation
Get PDFThe increasing complexity of financial markets has heightened the need for accurate and efficient forecasting techniques. Traditional financial forecasting models often struggle to capture market volatility, leading to suboptimal decision-making and increased financial risk. The effects of AI-powered predictive analytics on business planning, risk management, and financial forecasting are studied in this research.. Using a mixed-methods approach, data were collected from 350 finance professionals across major Indian financial hubs. The study employed statistical techniques, including ANOVA and correlation analysis, to measure the effectiveness of AI-driven forecasting models.The results indicate that AI implementation led to a 17% increase in forecast accuracy and a 22% reduction in forecasting errors, with significant improvements observed across multiple industries (p < 0.01). Furthermore, a strong positive correlation (r = 0.72) was found between AI adoption and enhanced risk management strategies, suggesting that AI not only improves financial prediction but also strengthens proactive risk mitigation measures. Corporate planners' qualitative observations showed that by offering real-time market trend and risk assessment, AI-driven analytics improves strategic decision-making.By proving its capacity to increase accuracy, efficiency, and risk management skills, this study adds to the increasing corpus of studies on artificial intelligence in financial forecasting. The findings suggest that firms adopting AI-based predictive analytics can achieve greater financial stability and resilience to market fluctuations. Future research should explore AI’s role in long-term financial sustainability and its impact on investment strategies in dynamic market environments
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