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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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

    Author Index

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    Foreign Direct Investment Inflows to India

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    India, without exception, as in case of other developing countries, is eager to prompt its economic growth which compels it to accept and seek assistance of foreign direct investment (FDI). At present, it accounts for 1.25 per cent share of global FDI inflows, 7.18 per cent of Asian inflows and garners more than two third share of FDI inflows to the developing South Asia. Present study traces the history of FDI in India and reveals that actually FDI in India is an evolution since mid-eighteenth century and is an outcome of international and domestic dynamisms. It is not merely a phenomenon of post Independence or post liberalization period. Present study is an effort to examine the growth of FDI inflows to India and some selected representative countries of the developing Asia, through the computation of compound annual growth rates by fitting an exponential function estimated by ordinary least square method. It is detected that during the last three decades, the growth of FDI inflows remained highest in case of India followed by UAE, Turkey and China. What will happen in future is the function of what happened in the past. Believing this, the study has generated the forecasts of FDI inflows to the representative countries of Asia for the period 2009 to 2020, by using Double Exponential Smoothing Model. The adequacy of the model is tested by computing autocorrelation coefficients and Ljung-Box Q statistics. The study revealed that in the ensuing decade, out of all the countries of developing Asia, Saudi Arabia is expected to grow at the fastest pace as far as FDI inflows are concerned. In near future, although the magnitude of FDI inflows may remain highest in case of China but India is expected to leap forward swiftly and attract more than one seventh share of aggregate anticipated inflows to the developing Asia. </jats:p

    Growth and Forecasts of FDI Inflows to North and West Africa - An Empirical Analysis

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    The developing countries of Africa are in severe hunger of FDI inflows as these are receiving a meager 2.9 percent share of global FDI inflows and just 10 percent of aggregate FDI inflows to the developing world. The present study is an effort to examine the growth of FDI inflows to the two largest recipient regions of Africa, through the computation of compound annual growth rates by fitting an exponential function estimated by ordinary least square method. The study detected that during the last three decades, the growth of FDI inflows remained highest for Algeria and Cape Verde, in Northern Africa and West Africa respectively. Both these countries also remained ahead of the others, in their respective regions in growth of FDI as percentage of gross fixed capital formation. The forecasts of FDI inflows to the representative countries of North and West Africa have been generated by using Double Exponential Smoothing model for the period 2009 to 2020. The adequacy of the model is tested by computing autocorrelation coefficients and Ljung-Box Q statistics. The study revealed that in the ensuing decade, Egypt is expected to grow at the fastest pace as far as FDI inflows are concerned.double exponential smoothing, compound growth rates, forecasts, auto correlation coefficients, Ljung-Box Q-Statistics

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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
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