1,721,814 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
Data-driven Modelling of Urban Water Demand in Major European Cities: the Case Study of Milan, Italy.
No full textThe combined effect of population growth, urbanization, economic development, and climate change is changing the spatial and temporal patterns of water demands and exacerbating the stress on water resources. The global gap between water supply and demand is projected to reach 40% by 2030. Concerns on water security are dominant in cities with dense populations and more socio-economic activities. In this context, urban water demand management (UWDM) has emerged as a key measure to complement supply-side interventions to address water scarcity and governance issues in big European cities. Yet, there is still a lack of research fusing and comparing water demand characteristics and UWDM strategies across heterogeneous European contexts. A comparative and comprehensive urban water demand analysis at high spatial and temporal resolutions in major European urban centers could contribute to a better understanding of how different environmental, socio-economic, and political factors influence water use patterns, facilitating the scaling up of fine-scale UWDM practices into integrated regional, national, and European models. Here, we develop a holistic modeling approach incorporating trend detection, input identification, pattern characterization, and demand forecasting to understand the long- and short-term water demand dynamics. The first city we investigate is Milan, Italy. We explore the historical monthly water demands at the district level in 2017-2020 and daily data from individual meters in 2019-2021. Two main water use sectors can be distinguished: multiple households residential and commercial, industrial, and institutional buildings. Our preliminary results show a declining trend of total water use in 2017-2020, with a breakpoint identified at the end of 2019. Our comparative modeling study also shows that a hybrid model combining wavelet transform technique and artificial neural networks can achieve the best performance on 1-day short-term water forecast based on historical water demand only. Adding either temperature or precipitation variable does not improve the forecast accuracy. In the next steps, we will cross-correlate socio-demographic variables with water demands and apply our method to evaluate the urban development impact on water use patterns and inform efficient UWDM strategies
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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