1,720,994 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
Artificial intelligence methods for oil price forecasting: A review and evaluation
No full textArtificial intelligent methods are being extensively used for oil price forecasting as an alternate approach to conventional techniques. There has been a whole spectrum of artificial intelligent techniques to overcome the difficulties of complexity and irregularity in oil price series. The potential of AI as a design tool for oil price forecasting has been reviewed in this study. The following price forecasting techniques have been covered: (i) artificial neural network, (ii) support vector machine, (iii) wavelet, (iv) genetic algorithm, and (v) hybrid systems. In order to investigate the state of artificial intelligent models for oil price forecasting, thirty five research papers (published during 2001 to 2013) had been reviewed in form of table (for ease of comparison) based on the following parameters: (a) input variables, (b) input variables selection method, (c) data characteristics (d) forecasting accuracy and (e) model architecture. This review reveals procedure of AI methods used in complex oil price related studies. The review further extended above overview into discussions regarding specific shortcomings that are associated with feature selection for designing input vector, and then concluded with future insight on improving the current state-of-the-art technology
Carbon Capture and Storage (CCS) for India: Bottlenecks and their role in adoption
No full textThe atmospheric concentrations and world-wide emissions of CO2 continue to rise despite of increasing efforts of decarbonisation. Clearly, deployment of renewable energy will not be enough to reduce the carbon in the atmosphere. We cannot achieve climate objectives without Carbon Capture and Storage (CCS). Therefore, to take the first step toward CCS in India a detailed study needs to be conducted on feasibility of CCS in India. From the perspective of technological feasibility few research has quantified the potential of carbon capture in India and identified the geographical mapping of the potential. But a prior understanding of the major challenges needs to be the first step before going for detailed feasibility study. The study revisits the growth of CCS in global context and attempts to understand India’s commitments on the same. The study further attempts to identify the challenges from the perspective of emitters in Indian context. The study includes both the oil and gas, and fossil fuel-based power generation plants so that the challenges common for both sectors may be considered before initial feasibility analysis. The study finds 6 categories of challenges namely Cost of CCS, Geo-storage capacity, Source sink matching, Supply Chain and building rate, Policy regulations and public acceptance. The study further establishes the relationship among the identified challenges by adopting Interpretive Structural Modelling (ISM) approach. The study identifies the priority areas for policy makers
Renewable purchase obligations (RPO) mix determination: A case of West Bengal, India
No full textElectricity Supply Limited (SECL) has been the player involved both in generation and transmission of electricity. The study aims at forecasting annual electricity consumption of the company and suggest an optimal combination of renewable options namely wind, small hydro, solar photo voltaic, solar thermal and biomass to meet the RPO targets of subsequent 25 years. A linear regression model has been used for forecasting the consumption and RPO contributions whereas linear programming model has been used for determining the optimal combination of renewable sources under consideration over the segments of generation and short term power purchase agreements for meeting overall REC requirement from non-solar and solar sources. The study recommends for long term PPAs of 1 MW for wind, 30 MW of small hydro and 20MW of biomass instead of 1-year short term PPA and a need for promoting wind farms in the near future
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